Evidence-Based Complementary and Alternative Medicine

Evidence-Based Complementary and Alternative Medicine / 2020 / Article

Review Article | Open Access

Volume 2020 |Article ID 7908067 | https://doi.org/10.1155/2020/7908067

Tinghui Hou, Qianhua Zheng, Xiumei Feng, Lu Wang, Ying Liu, Ying Li, "Methodology and Reporting Quality Evaluation of Acupuncture for Mild Cognitive Impairment: An Overview of Systematic Reviews", Evidence-Based Complementary and Alternative Medicine, vol. 2020, Article ID 7908067, 23 pages, 2020. https://doi.org/10.1155/2020/7908067

Methodology and Reporting Quality Evaluation of Acupuncture for Mild Cognitive Impairment: An Overview of Systematic Reviews

Academic Editor: Gabriel A. Agbor
Received11 May 2020
Revised28 Jun 2020
Accepted13 Jul 2020
Published05 Aug 2020

Abstract

Objective. Since there is no consistent evidence on the effectiveness of acupuncture in the treatment of mild cognitive impairment, this review aims to summarize and critically evaluate the methodological and reporting quality of systematic reviews (SRs). Methods. We comprehensively searched PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Chinese Biomedical Literature (CBM), and Wanfang databases from the date of establishment to April 2019. Two authors independently selected the articles, collected the data, and assessed the identified and included SRs with the revised measurement tool to assess systematic reviews (AMSTAR 2) and preferred reporting items for SRs and meta-analyses (PRISMA). The quality of outcomes was evaluated by the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE). Results. Eleven SRs were included in this overview. The items of AMSTAR 2 in most SRs were poorly reported; only 3 SRs were rated as low quality by AMSTAR 2, and the remaining were rated as very low quality. A total of 8 SRs obtained a decent rating by PRISMA. With the GRADE tool, we have not found high-quality evidence that acupuncture is effective for mild cognitive impairment (MCI), so there is no certain conclusion on the effectiveness of acupuncture treatment for MCI. Conclusion. The methodological and reporting quality of SRs on acupuncture for MCI is substandard, and the quality of evidence is poor. In future research, more efforts are needed to improve the quality of SRs in this field.

1. Introduction

Mild cognitive impairment (MCI) refers to mild impairment in one or more cognitive areas, but individuals are still independent and normal in their daily activities. It is a syndrome of cognitive impairment between normal ageing and Alzheimer’s disease. It is mainly manifested by mild impairment of cognitive function that does not correspond to age, and the most typical symptom is memory loss [1, 2]. MCI can be divided into two types according to the different manifestations of cognitive impairment: amnestic MCI (aMCI) and nonamnestic MCI (NaMCI) [3]. NaMCI mainly affects cognitive areas such as judgement, decision-making ability, and visual perception. Memory shows relatively little impairment. In contrast, aMCI mainly affects memory, leaving other cognitive areas remain relatively intact, and this is the most common subtype of MCI [4]. Epidemiological studies have indicated that the incidence of MCI varies from 3% to 42% due to differences in diagnostic criteria and regions, with an estimated annual incidence rate of 21.5–71.3/1000 [59]. The prevalence of MCI increases with age [10, 11], and 5–15% of patients with MCI will develop dementia [12, 13].

The most common methods of diagnosing MCI in the clinic are subjective assessment and objective assessment [14]. Subjective assessment refers to the doctor inquiring about the patient’s medical history and examining the patient’s mental state. The objective assessment refers to relying on mental state examination scales [15]. Among them, the Mini-Mental State Examination (MMSE), [16] the Montreal Cognitive Assessment (MoCA), [17] the activity of daily life scale (ADL) [18], and the Mini-Cog text [19] are frequently used. There are several theories about the underlying causes of MCI, and accurately identifying the major underlying causes remains a challenge [20]. It is generally accepted that MCI is associated with Alzheimer’s disease (AD) pathology, Lewy body pathology, cardiovascular and cerebrovascular diseases, and frontotemporal lobe degeneration [2024]. There are no specific drugs recommended for the treatment of MCI [25]. Many drugs approved for the treatment of AD have been evaluated as potential therapeutic agents for MCI in many clinical trials, and these include cholinesterase inhibitors and nicotinic cholinergic receptors. In addition, vitamin B, vitamin E, and omega-3 fatty acids have also been proven effective for the treatment of MCI [20, 26, 27]. There is evidence that cognitive training and physical exercise are beneficial to MCI patients as nondrug interventions [3]. Acupuncture, as a traditional Chinese medicine therapy, has been increasingly developed and popularized in Western medicine. As one of the most popular complementary alternative therapies, it is widely used in clinical practice. In recent years, a large number of studies have shown that acupuncture treatment for MCI has significant clinical effectiveness [28, 29], can effectively delay the conversion of MCI to dementia, and can contribute to the early prevention and treatment of senile dementia [26].

Since the development of evidence-based medicine, high-quality systematic evaluation and meta-analysis have been considered the best evidence for evaluating randomized controlled trials [30]. Some remarkable results have been obtained in evaluating systematic reviews (SRs) of MCI patients treated with acupuncture and moxibustion, while others have failed to prove their effectiveness. These contradictory results can mislead clinicians, guideline makers, and other decision makers. Moreover, the quality of systematic evaluation can be degraded by factors such as design flaws, limitations of research, and publication bias [31]. Therefore, it is very important to evaluate the quality of SRs. At present, there are no relevant re-evaluation articles on the methodological quality and reliability of outcome indicators of systematic evaluations of acupuncture treatment for MCI.

Therefore, the main purpose of our study was to evaluate the SR methodology and reporting quality of acupuncture treatment for MCI to provide useful evidence for the clinical application of technology evaluated in SRs in the treatment of MCI patients.

2. Methods

2.1. Search Strategy

Systematic literature searches were conducted in PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Chinese Biomedical Literature Database (CBM), and Wanfang database for SRs of MCI treated by acupuncture. All online databases were searched from their inception dates until April 22, 2019. The search terms used were (acupuncture or scalp acupuncture or electro-acupuncture), (MCI or Benign senescent forgetfulness or Age-related cognitive decline or Cognitive impairment-no dementia or Mild cognitive decline or Age-associated memory impairment or Forgetfulness or Hypomnesia or Memory decline), and (System evaluation or Systematic review or Meta-analysis), with minor modifications to individual searches in each database. In addition, the bibliographies of these papers, conference papers, and grey literature and published journal bibliographies were also retrieved. The retrieval language was limited to English and Chinese based on the researchers’ languages. Two investigators (LY and FXM) independently searched the literature, and if they met with disagreements, they resolved them through discussion, see Tables 18 for detailed search strategies.


ItemIndex terms

#1Acupuncture [All fields]
#2Scalp acupuncture [All fields]
#3Electroacupuncture [All fields]
#4#1 OR #2 OR #3
#5Mild cognitive impairment [All fields]
#6Benign seneslent forgetfulness [All fields]
#7Age-related cognitive decline [All fields]
#8Cognitive impairment-no dementia [All fields]
#9Mild cognitive decline [All fields]
#10Age-associated memory impairment [All fields]
#11Forgetfulness [All fields]
#12Hypomnesia [All fields]
#13Memory decline [All fields]
#14#5 OR #6 OR #7 OR #8 OR #9 OR #10 OR #11 OR #12 OR #13
#15System evaluation [All fields]
#16System review [All fields]
#17Meta analysis [All fields]
#18#15 OR #16 OR #17
#19#4 AND #14 AND #18


ItemIndex terms

#1Acupuncture [Ti, Ab, Kw]
#2Scalp acupuncture [Ti, Ab, Kw]
#3Electroacupuncture [Ti, Ab, Kw]
#4#1 OR #2 OR #3
#5Mild cognitive impairment [Ti, Ab, Kw]
#6Benign seneslent forgetfulness [Ti, Ab, Kw]
#7Age-related cognitive decline [Ti, Ab, Kw]
#8Cognitive impairment-no dementia [Ti, Ab, Kw]
#9Mild cognitive decline [Ti, Ab, Kw]
#10Age-associated memory impairment [Ti, Ab, Kw]
#11Forgetfulness [Ti, Ab, Kw]
#12Hypomnesia [Ti, Ab, Kw]
#13Memory decline [Ti, Ab, Kw]
#14#5 OR #6 OR #7 OR #8 OR #9 OR #10 OR #11 OR #12 OR #13
#15System evaluation [Ti, Ab, Kw]
#16System review [Ti, Ab, Kw]
#17Meta analysis [Ti, Ab, Kw]
#18#15 OR #16 OR #17
#19#4 AND #14 AND #18

Ti, Ab, Kw: title, abstract, and keyword.

ItemIndex terms

#1Acupuncture OR (scalp acupuncture) OR electroacupuncture [All fields]
#2Mild cognitive impairment OR (benign seneslent forgetfulness) OR (age-related cognitive decline) OR (cognitive impairment-no dementia) OR (mild cognitive decline) OR (age-associated memory impairment) OR forgetfulness OR hypomnesia OR (memory decline) [All fields]
#3System evaluation OR (system review) OR (meta analysis) [All fields]
#4#1 AND #2 AND #3


ItemIndex terms

#1TS = (Acupuncture OR Scalp acupuncture OR Electroacupuncture)
#2TS = (Mild cognitive impairment OR Benign seneslent forgetfulness OR Age-related cognitive decline OR Cognitive impairment-no dementia) OR Mild cognitive decline OR Age-associated memory impairment OR Forgetfulness OR Hypomnesia OR Memory decline)
#3TS = (System evaluation OR System review) OR Meta analysis)
#4#1 AND #2 AND #3

TS = topic search: search included title, abstract, author keywords, and Keywords Plus.

ItemIndex terms

#1SU = (‘Acupuncture’+‘Scalp acupuncture’+‘Electroacupuncture’) AND SU = (‘Mild cognitive impairment’+‘Mild cognitive decline’+‘Dementia’+‘Forgetfulness’+‘Amnesia’+‘Memory in decline’+‘Memory loss’) AND SU = (‘System evaluation’+‘Meta analysis’+‘System review’)

SU: subject search.

ItemIndex terms

#1U = (Acupuncture OR Scalp acupuncture OR Electroacupuncture) AND U = (Mild cognitive impairment OR Mild cognitive decline OR Dementia OR Forgetfulness OR Amnesia OR Memory in decline OR Memory loss) AND U = (System evaluation OR Meta analysis OR System review)

U: all fields.

ItemIndex terms

#1Subject: (“acupuncture” or “scalp acupuncture” or “electroacupuncture”) and Subject: (“Mild cognitive impairment” or “Mild cognitive decline” or “dementia” or “forgetfulness” or “Amnesia” or “Memory in decline” or “Memory loss”) and Subject: (“System evaluation” or “Meta analysis” or “System review”)


ItemIndex terms

#1(“Acupuncture”[Common fields: Intelligent retrieval] OR “scalp acupuncture”[Common fields: Intelligent retrieval] OR “Electroacupuncture”[Common fields: Intelligent retrieval])
#2(“Mild cognitive impairment”[Common fields: Intelligent retrieval] OR “Mild cognitive decline”[Common fields: Intelligent retrieval] OR “Dementia”[Common fields: Intelligent retrieval] OR “Forgetfulness”[Common fields: Intelligent retrieval] OR “Amnesia”[Common fields: Intelligent retrieval] OR “Memory in decline”[Common fields: Intelligent retrieval] OR “Memory loss”[Common fields: Intelligent retrieval])
#3(“System evaluation”[Common fields: Intelligent retrieval] OR “Meta analysis”[Common fields: Intelligent retrieval] OR “System review”[Common fields: Intelligent retrieval])
#4#1 AND #2 AND #3

Adopt intelligent search: realizes the extended search of search words and their synonyms (including subject words).
2.2. Study Selection

The criteria for selecting SRs were as follows: (1) RCTs or quasi-RCTs (q-RCTs) must be included in the SRs; (2) the subjects of the study were patients with definite diagnosis of MCI, and there were no restrictions on age, race, sex, and region; (3) the diagnosis of MCI should be based on the following criteria: one of the editions of the Diagnostic and Statistical Manual of Mental Disorders (DSM-III, DSM-IV, or DSM-V), Petersen diagnostic criteria, revised Mayo Clinic criteria, or Chinese Classification of Mental Disorders (CCMD-2 or CCMD-3); (4) the experimental group should be treated by acupuncture (manual acupuncture, scalp acupuncture, electroacupuncture, etc.) or by acupuncture combined with other therapies (traditional Chinese medicine/Chinese patent medicine, Western medicine, cognitive function training, etc.); (5) the control group was placebo therapy (blank control, sham acupuncture, sham acupoints, etc.) or other therapies; (6) one or more of the following evaluation methods were used: MMSE, MoCA, Mini-Cog test, Clinical Dementia Rating (CDR) scale, clock drawing test (CDT), ADL scale, and other assessment methods such as effectiveness; (7) studies involving cognitive impairment after stroke, vascular dementia, AD, senile dementia, and MCI caused by other diseases were excluded; (8) duplicate published studies were eliminated, and the highest-quality articles were included; and (9) papers were excluded if they were animal experiments, clinical RCT trials, conference literature, literature on nonmajor interventions of acupuncture, papers with data that could not be extracted, or bibliometrics research.

2.3. Data Extraction

Two researchers independently screened and extracted the literature following the inclusion and exclusion criteria. A unified document extraction form was formulated, which included title, first author, publication year, country, document type, retrieval database, retrieval terms, whether to retrieve registration platform, language restriction, included document type, whether to register or research programme has been published, research population, age, research sample size, treatment group intervention measures, control group intervention measures, methodological quality assessment tools, outcome indicators, main conclusions, subgroup analysis or sensitivity analysis, acupoint analysis or acupoint selection rules, safety adverse events, and whether RCTs in the included SRs strictly abide by STRICTA or CONSORT declaration. The data were independently extracted by two researchers (LY and FXM) and then cross-checked. If there was a disagreement, they were discussed or a third party (ZQH) was invited to evaluate them.

2.4. Quality Assessment

Three evaluation tools, AMSTAR 2, PRISMA, and GRADE, were used to evaluate the included SRs. AMSTAR 2 is a measurement tool used to evaluate the quality of the methodology of an SR [32]. PRISMA is a widely used reporting guide for SRs that provides an overall assessment of the quality of reports for systematic evaluation and meta-analysis [33]. GRADE tool is applied to classify the evidence quality of the main outcome indicators [34]. Two reviewers (FXM and WL) independently evaluated the incorporated SRs and resolved differences through discussion and negotiation. Any unresolved differences were judged by the third reviewer (ZQH).

2.4.1. AMSTAR 2 for Methodological Quality

AMSTAR 2 is a recently updated rating scale that uses a rating process based on key area assessments. It has 16 questions, requiring respondents to answer “yes,” “no,” or “partially yes;” among them, 7 key items can be used to evaluate the effectiveness of the results, which are items 2, 4, 7, 9, 11, 13, and 15, and the remainder are nonkey items. The quality level of an SR is divided into four levels: none or only one nonkey item does not conform to the “advanced” level; more than one nonkey item do not conform to the “intermediate” level; only one key item does not conform to the criteria, with or without nonkey items that do not conform to the criteria of “low level,” and more than one key item does not conform, with or without nonkey items that do not conform to the “very low level.” Another practical way to use AMSTAR 2 to summarize methodological evaluation results is to calculate the percentage of entries that received a “yes” answer. In particular, the following categorization was used: >80% of the items receiving “yes” was considered fully reported; >50% of the items receiving “yes” was considered to have a good overall rating; and <50% of the items receiving “yes” was considered inadequate. The above calculation method with the percentage of “yes” items was also applicable to the PRISMA evaluation [3538].

2.4.2. PRISMA for Reporting Quality

The PRISMA [33] statement was used to evaluate the quality of reports, which included 27 items. According to the satisfaction degree of item reporting requirements, it can be divided into “yes,” “partial yes,” and “no.” The completion of each item was presented as a ratio.

2.4.3. GRADE for Quality of Evidence

The GRADE tool evaluates the quality of evidence for the main outcome indicators of the included SRs [34]. Factors leading to RCT degradation include research limitations, inconsistency of research results, inability to determine whether it is direct evidence, insufficient accuracy or wide confidence intervals, and publication bias. Its evaluation method is as follows: no evidence of degradation is high quality, 1 degradation is moderate quality, 2 degradations are low quality, and 3 degradations or more are very low quality.

2.5. Data Analysis

We used SPSS 20.0 (IBM Corp, Armonk, NY, USA) for statistical analysis when necessary. The significance level of all analyses was 0.05 for a bilateral test. Summary statistics are presented in terms of frequency and percentage. We used the kappa index to calculate the reliability between two evaluators using the AMSTAR 2 and PRISMA scales. A kappa index greater than 0.75 reflected excellent consistency; 0.4 to less than 0.75 indicated fair consistency; and less than 0.4 indicated poor consistency.

3. Results

3.1. Selection of Systematic Reviews

A total of 172 potentially related kinds of literature were retrieved from 8 databases, including 3 from Cochrane Library, 21 from Embase, 15 from PubMed, 7 from Web of Science, 36 from CNKI, 27 from CBM, 17 from VIP, and 46 from the Wanfang database. After 80 duplicated documents were deleted by EndNote X9 software (Thomson ResearchSoft, Stanford, CT, USA) and the 92 titles and abstracts of the remaining documents were read, 76 documents were excluded because they failed to meet the inclusion criteria. After downloading and reading the other 16 articles, 4 studies were excluded. The reasons for exclusion were as follows: the main intervention measures of two articles were acupoint massage, and the main diseases examined in two articles were not MCI. Detailed information on the excluded studies can be found in Table 9. Finally, our study included 11 studies [3949]. The process of the literature search and screening is shown in Figure 1.


ReferencesReason for excluding references

Chan-Young K, Boram L, Hyo-Weon S, et al. Efficacy and Safety of Auricular Acupuncture for Cognitive Impairment and Dementia: A Systematic Review. Evid Based Complement Alternat Med. 2018: 3426078. DOI: 10.1155/2018/3426078.The main research disease is not mild cognitive impairment
Cheng-Hwang P, Yue-Cune C, Ruu-Fen T, et al. The treatment of cognitive dysfunction in dementia: a Multiple treatments meta-analysis. Psychopharmacology, 2018: 235(5), 1571–1580. DOI:10.1007/s00213-018-4867-y.The main research disease is not mild cognitive impairment
Fang L, Cuiling S, Liqun Y, et al. Acupoint Massage for Managing Cognitive Alterations in Older Adults: A Systematic Review and Meta-Analysis. The Journal of Alternative and Complementary Medicine, 2018:24(6), 532–540. DOI:10.1089/acm.2017.0142.The main intervention is not acupuncture, but acupoint massage
Kaili S. Research on the Traditional Chinese Medicine Nursing Intervention of Mild Cognitive Impairment in Community[Master’s thesis]. Hubei University of Traditional Chinese Medicine, 2018.The main intervention is not acupuncture, but acupoint massage
Zhou L, Zhang YL, Cao HJ, et al. Systematic review of acupuncture for vascular-induced mild cognitive impairment [J]. Chinese Journal of Integrated Traditional Chinese and Western Medicine. 2013; 33(12):1626–1630.The data are the same as those of Cao Hui Juan’s paper

3.2. Characteristics of the Systematic Reviews

In terms of searching the literature bases, 3 SRs [41, 45, 49] were identified in Embase; 4 SRs [41, 42, 45, 49] in PubMed; 3 SRs [42, 45, 49] in Web of Science; 5 SRs [39, 40, 43, 46, 48] in Wanfang; 4 SRs [40, 43, 44, 48] in CBM; 3 SRs [44, 47, 48] in CNKI; and 3 SRs [43, 44, 48] in VIP. Six SRs [39, 40, 43, 44, 47, 48] were published in Chinese journals, and the other 5 [41, 42, 45, 46, 49] were published in English journals. Our research included 9 peer-reviewed articles [4046, 48, 49] and 2 Master’s theses [39, 47]. Documents were mostly published between 2011 and 2019, with 10 SRs [3948] from China and 1 SR [49] from Korea. The minimum and maximum numbers of included studies in the SRs were 5 and 25, respectively. The minimum number of MCI cases was 232, and the maximum number was 1847. In terms of intervention measures, 6 studies [4144, 48, 49] involved treatment with acupuncture alone, and 5 studies [39, 40, 4547] involved treatment with acupuncture combined with other therapies. The control group received treatments including no acupuncture, ordinary acupuncture, Chinese patent medicine, Western medicine, and cognitive function training. The main outcome indicators used several different evaluation scales, and the most commonly used were the MMSE and MoCA. Other indicators include efficacy, apparent efficacy, Wechsler Memory Scale (WMS), Clinical Memory Scale (CMS), CDT, modified Barthel Index (MBI), ADL scale, and Memory Quotient (MQ). Methodological evaluation tools were used in most of these SR studies. The Cochrane Manual was used in 8 studies [39, 4246, 48, 49], the CONSORT and STRICTA guidelines were used in 1 study [41], and the other 2 studies [40, 47] did not mention methodological evaluation tools. Subgroup analyses were mentioned in 9 studies [39, 4249], and acupoint selection was mentioned in 3 studies [45, 47, 49]. There was no agreement on the effectiveness of acupuncture among all the SRs included. Detailed basic features are shown in Table 10.


StudyCountryNo. of primary studiesStudy typesInterventionPrimary outcomesMethodological evaluation toolSubgroup analysisAcupuncture point analysisMain conclusions
Treatment groupControl group

Mao [39]China5 (232)RCT or q-RCTAcupuncture alone or combined with other treatmentsDonepezil hydrochloride or the same basic treatment as the treatment groupMMSE, MQ, CMSCochrane HandbookYesNot mentionedAcupuncture is an effective and safe treatment for mild cognitive impairment (MCI), but its clinical efficacy is not superior to conventional Western medicine.
Liu et al. [40]China6 (330)RCTAcupuncture combined with other treatmentsOther treatmentsMMSE, MQ, MoCA, CDRNot mentionedNot mentionedNot mentionedAcupuncture and moxibustion have a good effect on the treatment of MCI.
Lu et al. [41]China14 (—)RCTAcupunctureNot mentionedNot mentionedCONSORT and STRICTA guidelinesNot mentionedNot mentionedThe reporting quality of RCTs of acupuncture for MCI was moderate to low. The CONSORT statement and STRICTA should be used to standardize reporting of RCTs of acupuncture in the future.
Cao et al. [42]China12 (691)RCTAcupunctureNo acupuncture therapyMMSE, MoCA, MBI, WMSCochrane HandbookYesNot mentionedThe current clinical evidence is not of sufficient quality for a wider application of acupuncture to be recommended for the treatment of vascular mild cognitive impairment (VMCI).
Hu et al. [43]China14 (1052)RCTAcupunctureVarious Chinese patent medicinesMMSECochrane HandbookYesNot mentionedAcupuncture is safe and effective in treating MCI.
Mai and Zheng [44]China5 (565)RCTScalp acupunctureWestern medicines alone or other treatmentsTotal efficacy, MMSE, MoCACochrane HandbookYesNot mentionedThe clinical efficacy of scalp acupuncture in treating MCI was better than that of drug therapy alone, and the efficacy of scalp acupuncture and cognitive training was equivalent.
Deng and Wang [45]China5 (568)RCT or q-RCTAcupuncture alone or combined with other treatmentsAnother aggressive treatmentMoCA, MMSE, CDT, WMSCochrane HandbookYesYesAcupuncture appears effective for amnestic MCI (aMCI) when used as an alternative or adjunctive treatment.
Ting et al. [46]China18 (1095)RCTAcupuncture-combined Western drugSame drug as the intervention groupMMSE, ADLCochrane HandbookYesNot mentionedWith the present shreds of evidence, acupuncture plus drug is more effective than the drug alone for the treatment of MCI.
Wang [47]China25 (1847)RCTAcupuncture alone or combined with other therapies; empirical acupunctureDrug therapy; ordinary acupunctureClinical efficacy, MMSENot mentionedYesYesAcupuncture and moxibustion treatment of MCI is effective and safe.
Li et al. [48]China10 (666)RCTAcupunctureNo acupuncture therapyTotal efficacy, MMSE, MoCA, ADLCochrane HandbookYesNot mentionedAcupuncture and moxibustion have certain therapeutic advantages in the treatment of MCI.
Kim et al. [49]Korea5 (257)RCT or SRElectric acupunctureWestern medicationsMMSE, MoCA, CMS, CDTCochrane HandbookYesYesElectroacupuncture was an effective treatment for MCI patients by improving cognitive function.

3.3. Quality of the Systematic Reviews
3.3.1. Methodological Quality of Included Reviews (AMSTAR 2)

There was no SR with AMSTAR 2 scores at the high and intermediate levels; only 3 SRs (27.27%) [43, 46, 48] scored at low overall levels, while the other 8 SRs (72.73%) [3942, 44, 45, 47, 49] scored at very low levels. The 11 SRs (100.00%) contained the population, intervention, comparator group, outcome, and study design (PICOS) components. No SR formulated a preliminary research protocol before making a systematic evaluation. No SR explained the design types included in the study. Seven SRs (63.64%) achieved comprehensive literature retrieval. Three SRs (27.27%) did not describe the repeatability of research screening and data extraction. Nine SRs (81.82%) provided a list of excluded studies or justification for their exclusion. Only 5 SRs (45.45%) provided details of the basic information included in the studies. The bias risk assessment methods of 9 SRs (81.82%) were reasonable. No SR reported funding information for the studies they included. Ten SRs (90.91%) used appropriate statistical methods to synthesize the results. Only 4 SRs (36.36%) assessed the impact of bias risk on meta-analysis results. Ten SRs (90.91%) considered the bias risk of individual studies when interpreting and discussing the results. When heterogeneity was observed in the review results, 7 SRs (63.64%) investigated the sources of heterogeneity and discussed its impact on the review results. Six SRs (54.55%) fully investigated the possibility of publication bias and discussed the impact of publication bias on outcomes when quantitatively merging the results. Five SRs (45.45%) reported that the SR itself had no competitive conflicts of interest, four of which reported funding sources. Of all the projects, five of the projects were fully reported, including PICO construction, excluded literature lists with reasons, reasonable bias risk assessment methods, appropriate statistical analysis methods, and the bias risk of a single study which was taken into account when interpreting and discussing the results of systematic evaluation. Nevertheless, there were still six bad items, including the prior protocol, description of the type of study included, detailed basic information, funding information for included research, the impact of single research bias risk on meta-analysis results, and sources of conflicts of interest, see Table 11 and Figure 2 for details. The interrater reliability was excellent (kappa = 0.859) between the two assessors (FXM and WL). Disagreements were found in some domains after comparison, and more details are shown in Tables 12 and 13. Finally, disagreements were settled by discussion and by input from a third author (ZQH).


Mao (2011)Liu (2011)Xiao (2011)Cao (2013)Hu (2014)Mai (2015)Min (2016)Shuai (2016)Wang (2017)Li (2018)Kim (2019)“Yes” (n (%))

Item 1YYYYYYYYYYY11 (100.00)
Item 2NNNNNNNNNNN0 (0)
Item 3NNNNNNNNNNN0 (0)
Item 4YYYPYYPYYYPYYPY7 (63.64)
Item 5YNYYYNYYNYY8 (72.73)
Item 6YNYYYNYYNYY8 (72.73)
Item 7YNYYYYYYNYY9 (81.82)
Item 8PYPYYYPYPYYYPYPYY5 (45.45)
Item 9YNYYYYYYNYY9 (81.82)
Item 10NNNNNNNNNNN0 (0)
Item 11YYNYYYYYYYY10 (90.91)
Item 12YNNNYYNYNNN4 (36.36)
Item 13YYYYYYYYNYY10 (90.91)
Item 14YYNYYYYNNNY7 (63.64)
Item 15NYNNYYNYYYN6 (54.55)
Item 16NNYYNNYYNNY5 (45.45)
“Yes”(n (%))10 (62.50)6 (37.50)9 (56.25)10 (62.50)11 (68.75)8 (50.00)11 (68.75)12 (75.00)3 (18.75)9 (56.25)10 (62.50)
Ranking of qualityVery low levelVery low levelVery low levelVery low levelLow levelVery low levelVery low levelLow levelVery low levelLow levelVery low level

Y: yes; PY: partial yes; and N: no.

Mao 2011Liu 2011Xiao 2011Cao 2013Hu 2014Mai 2015Min 2016Shuai 2016Wang 2017Li 2018Kim 2019

Item 1YYYYYYYYYYY
Item 2NNNNNNNNNNN
Item 3NNNNNNNNNNN
Item 4YYYPYYPYYYPYYPY
Item 5YNYYYNYYNYY
Item 6YNYYYNYYNYY
Item 7YNYYYYYYNYY
Item 8PYPYYYYYYYYYY
Item 9YNPYYPYPYYYNYY
Item 10NNNNNNNNNNN
Item 11YYNYYYYYYYY
Item 12YNNNYYNYNNN
Item 13YYYYYYYYNYY
Item 14YYNYYYYNNNY
Item 15NYNNYYNYYYN
Item 16NNYYNNYYNNY

Y: yes; PY: partial yes; and N: no.

Mao (2011)Liu (2011)Xiao (2011)Cao (2013)Hu (2014)Mai (2015)Min (2016)Shuai (2016)Wang (2017)Li (2018)Kim (2019)

Item 1YYYYYYYYYYY
Item 2NNNNNNNNNNN
Item 3NNNNNNNNNNN
Item 4YYYYYYYYPYYPY
Item 5YNYYYNYYNYY
Item 6YNYYYNYYNYY
Item 7YNYYYYYYNYY
Item 8YYYYPYPYYYPYPYY
Item 9YNYYYYYPYNYY
Item 10NNNNNNNNNNN
Item 11YYNYYYYYYYY
Item 12YNNNYYNYNNN
Item 13NYYYYYYYNYY
Item 14YYNYYYYNNNY
Item 15NYNNYYNYYYN
Item 16NNYYNNYYNNY

Y: yes; PY: partial yes; and N: no.
3.3.2. Reporting Quality of Included Reviews (PRISMA)

None of the SRs completed all 27 items of PRISMA, but a total of 8 SRs [39, 4143, 45, 46, 48, 49] scored well in PRISMA. Ten SRs (90.91%) explicitly mentioned the term systematic review or meta-analysis in the title. No SRs fully provided highly structured abstraction and protocol registration information. Seven SRs (63.64%) described the basic principles of review. No SR explicitly addressed the issue of PICOS. No SR provided the protocol and registration number in the methods section. Five SRs (45.45%) were carefully and completely reported according to the established eligibility criteria. All SRs (100.00%) described all sources of information in the search. Only 2 SRs (18.18%) provided an all-electronic search strategy for at least one major database. Five SRs (45.45%) explained the procedure of the selection study. Six SRs (54.55%) described the process of data acquisition. Five SRs (45.45%) listed and defined all variables that required data. Except for Lu et al. [41], 6 SRs (60.00%) described methods for assessing bias risk in individual studies, all SRs (100.00%) described the main general indicators, 7 SRs (70.00%) described methods of processing data and merging research results, 4 SRs (40.00%) described any bias risk that might affect cumulative evidence, and 4 SRs (40.00%) described methods of additional analysis. In the results section, 8 SRs (72.73%) described the number of studies selected for screening, evaluation of eligibility, and inclusion in the review. Four SRs (36.36%) described the characteristics of the included studies. With the exception of Xiao et al. [41], 7 SRs (70.00%) provided bias risk data for each study, all SRs (100.00%) considered all the results of each study and provided composite results, 4 SRs (40.00%) submitted the assessment results of bias risk for all studies, and 2 SRs (20.00%) performed additional analyses. In the discussion section, 4 SRs (36.36%) summarized the main results evidently and generally. All SRs (100.00%) discussed the limitations of the research and results and provided general explanations of the results in the context of other evidence, as well as implications for future research. Three SRs (27.27%) provided information about the sources of funding and the role of funders. Overall, seven projects were fully reported, including the title, information sources, general measures, results of individual studies, result synthesis, limitations, and conclusions. However, there are still 14 items that were poorly reported, including structured summaries, objectives, protocols and registrations, eligibility criteria, search strategies, research selection procedures, data items, methodological aspects of the research bias risk, additional analysis, research characteristics of the results section, results of additional analysis, summary of evidence for discussion, and funding. The relevant results can be found in Table 14 and Figure 3. The interrater reliability was excellent between the two assessors (FXM and WL) (kappa = 0.929). Disagreements were found in some items after comparison, and more details are shown in Tables 15 and 16. Finally, discrepancies were resolved by discussion and by consulting a third author (ZQH).


Mao (2011)Liu (2011)Xiao (2011)Cao (2013)Hu (2014)Mai (2015)Min (2016)Shuai (2016)Wang (2017)Li (2018)Kim (2019)“Yes” (n (%))

Item 1YYNYYYYYYYY10 (90.91)
Item 2PYPYPYPYPYPYPYPYPYPYPY0 (0)
Item 3YPYYYPYPYYYPYYY7 (63.64)
Item 4PYPYPYPYPYPYPYPYPYPYPY0 (0)
Item 5NNNNNNNNNNN0 (0)
Item 6PYPYYYPYPYPYYPYYY5 (45.45)
Item 7YYYYYYYYYYY11 (100.00)
Item 8YNNNNNNNNNY2 (18.18)
Item 9YNYYNNYYNNN5 (45.45)
Item 10YNYYYNPYYNPYY6 (54.55)
Item 11PYPYYYPYPYYYPYPYY5 (45.45)
Item 12PYYYYPYYYPYPYY6 (60.00)
Item 13YYYYYYYYYY10 (100.00)
Item 14YPYYPYPYYYYYY7 (70.00)
Item 15YNYYNNYNNN4 (40.00)
Item 16YNNYNNYNYN4 (40.00)
Item 17YPYYYYPYYYPYYY8 (72.73)
Item 18PYPYPYYPYYPYYPYPYY4 (36.36)
Item 19YNYYPYYYPYYY7 (70.00)
Item 20YYYYYYYYYY10 (100.00)
Item 21YYYYYYYYYY10 (100.00)
Item 22NNNYYNYNYN4 (40.00)
Item 23NNNYNNYNNN2 (20.00)
Item 24PYPYYYPYPYYPYPYPYY4 (36.36)
Item 25YYYYYYYYYYY11 (100.00)
Item 26YYYYYYYYYYY11 (100.00)
Item 27NNYYNNNNNNY3 (27.27)
“Yes” (n (%))16 (59.26)8 (29.63)11 (64.71)20 (74.07)15 (55.56)9 (33.33)15 (55.56)21 (77.78)8 (29.63)14 (51.85)19 (70.37)

Y: yes; PY: partial yes; N: no; and —: not mentioned.

Mao (2011)Liu (2011)Xiao (2011)Cao (2013)Hu (2014)Mai (2015)Min (2016)Shuai (2016)Wang (2017)Li (2018)Kim (2019)

Item 1YYNYYYYYYYY
Item 2PYPYPYPYPYPYPYPYPYPYPY
Item 3PYPYYYPYPYYYPYYY
Item 4PYPYPYPYPYPYPYYPYPYPY
Item 5NNNNNNNNNNN
Item 6PYPYPYYPYPYPYYPYYY
Item 7YYYYYYYYYYY
Item 8YNNNNNNNNNY
Item 9YNYYNNYYNNN
Item 10YNYYYNPYYNPYY
Item 11PYPYYYPYPYYYPYPYY
Item 12PYYYYPYYYYPYY
Item 13YYYYYYYYYY
Item 14YPYYPYPYYYYYY
Item 15YNYYNNYNNN
Item 16YNNYNNYNYN
Item 17YYYYYPYYYPYYY
Item 18PYPYPYYPYYPYYPYPYY
Item 19YNYYPYYYPYYY
Item 20YYYYYYYYYY
Item 21YYYYYYYYYY
Item 22NNNYYNYNYN
Item 23NNNYNNYNNN
Item 24PYYYYPYPYYPYPYPYY
Item 25YYYYYYYYYYY
Item 26YYYYYYYYYYY
Item 27NNYYNNNNNNY

Y: yes; PY: partial yes; N: no; and —: not mentioned.

Mao (2011)Liu (2011)Xiao (2011)Cao (2013)Hu (2014)Mai (2015)Min (2016)Shuai (2016)Wang (2017)Li (2018)Kim (2019)

Item 1YYNYYYYYYYY
Item 2PYPYPYPYPYPYPYPYPYPYPY
Item 3YPYYYPYPYYYPYYY
Item 4PYPYPYPYPYPYPYPYPYPYY
Item 5NNNNNNNNNNN
Item 6PYPYYYPYPYPYYPYPYY
Item 7YYYYYYYYYYY
Item 8YNNNNNNNNNY
Item 9YNYYNNYYNNN
Item 10YNYYYNYYNPYY
Item 11PYPYYYPYYYYPYPYY
Item 12PYYYYPYYYPYPYY
Item 13YYYYYYYYYY
Item 14YPYYPYPYYYYYY
Item 15YNYYNNYNNN
Item 16YNNYNNYNYN
Item 17YPYYYYYYYPYYY
Item 18PYPYPYYYYPYYPYPYY
Item 19YNYYPYYYPYYY
Item 20YYYYYYYYYY
Item 21YYYYYYYYYY
Item 22NNNYYNYNYN
Item 23NNNYNNYNNN
Item 24PYPYYYYPYYPYPYPYY
Item 25YYYYYYYYYYY
Item 26YYYYYYYYYYY
Item 27NNYYNNNNNNY

Y: yes; PY: partial yes; N: no; and —: not mentioned.
3.3.3. Quality of Evidence in Included Reviews (GRADE)

In the current study, with the exception of Liu et al. [40] and Lu et al. [41], the 9 SRs included 31 outcome indicators related to acupuncture treatment of MCI. The results of GRADE evaluation showed that 4 (12.9%) outcomes were of moderate quality, 8 (25.8%) were of low quality, and 19 (61.3%) were very low. The limitations of all results have been downgraded, and they were biased in randomness, distribution, concealment, and blindness followed by publication bias (n = 23, 74.2%), imprecision (n = 15, 48.4%), inconsistency (n = 14, 45.2%), and indirectness (n = 0, 0.0%). The relevant results can be found in Table 17. The interrater reliability was general between the two assessors (FXM and WL) (kappa = 0.644). Disagreements were found in some items after comparison, and more details are shown in Tables 18 and 19. Finally, discrepancies were resolved by discussion and by consulting a third author (ZQH).


Authors (year)InterventionOutcomesLimitationsInconsistencyIndirectnessImprecisionPublication biasQuality of evidence

Mao (2011) [39]Acupuncture vs. donepezilMMSE (3)−100−1−1Very low
Acupuncture vs. donepezilMQ (2)−1−10−1−1Very low
Cao et al. (2013) [42]Acupuncture combined with CFT/donepezil vs. CFT/donepezilMMSE (6)−1−1000Low
MoCA (1)−1−10−1−1Very low
Electroacupuncture combined with CFT vs. CFTMBI (1)−1−10−1−1Very low
Electroacupuncture combined with nimodipine vs. nimodipineMBI (1)−1−10−1−1Very low
Electroacupuncture vs. nimodipineMBI (1)−1−10−1−1Very low
Hu et al. (2014) [43]Acupuncture vs. no acupuncture therapyEffective rate (9)−10000Moderate
Acupuncture combined with nimodipine vs. nimodipineMMSE (6)−1−1000Low
Acupuncture combined with donepezil vs. donepezilMMSE (2)−100−1−1Very low
Mai and Zheng (2015) [44]Scalp electroacupuncture vs. nimodipineTotal effective rate (3)−1000−1Low
Apparent efficiency (3)−100−1−1Very low
MMSE (3)−1−100−1Very low
Scalp acupuncture combined with CFT vs. CFTTotal effective rate (2)−100−1−1Very low
Apparent efficiency (2)−100−1−1Very low
MoCA (2)−100−1−1Very low
Deng and Wang (2016) [45]Acupuncture vs. nimodipineMMSE (3)−1000−1Low
Clinical efficacy rate (3)−1000−1Low
Acupuncture combined with nimodipine vs. nimodipineMMSE (2)−100−1−1Very low
Ting et al. (2016) [46]Acupuncture combined with Western medicine vs. Western medicineMMSE (12)−1−1000Low
Acupuncture combined with drug vs. drugADL (6)−10000Moderate
Wang (2017) [47]Acupuncture vs. ?Effective rate (16)−10000Moderate
Acupuncture or acupuncture combined with other therapies vs. medicineMMSE (7)−10000Moderate
Empirical acupuncture vs. ordinary acupunctureMMSE (3)−1−100−1Very low
Li et al. 2018 [48]Acupuncture vs. no acupuncture therapyTotal effective rate (2)−100−1−1Very low
MMSE (9)−1−1000Low
MoCA (5)−1−100−1Very low
ADL (3)−1−100−1Very low
CDT(2)−1−10−1−1Very low
Kim et al. 2019 [49]Electroacupuncture vs. antidementia drugsMMSE (6)−1000−1Low
MoCA (2)−100−1−1Very low

① = the design of the experiment with a large bias in random, distributive hiding, or blind. ② = funnel graph asymmetry. ③ = the confidence interval overlaps less, the heterogeneity test P is very small, and I2 is larger. ④ = the sample size is small, and the confidence interval is wide. ⑤ = fewer studies are included, and there may be greater publication bias. ?The original text does not clearly mention what the control group is.

Author (year)InterventionOutcomesLimitationsInconsistencyIndirectnessImprecisionPublication bias

Mao (2011)Acupuncture vs. donepezilMMSE (3)−100−1−1
Acupuncture vs. donepezilMQ (2)−100−1−1
Cao (2013)Acupuncture combined with CFT/donepezil vs. CFT/donepezilMMSE (6)−1−10−1−1
MoCA (1)−1−10−1−1
Electroacupuncture combined with CFT vs. CFTMBI (1)−1−10−1−1
Electroacupuncture combined with nimodipine vs. nimodipineMBI (1)−1−10−1−1
Electroacupuncture vs. nimodipineMBI (1)−1−10−1−1
Hu (2014)Acupuncture vs. no acupuncture therapyEffective rate (9)−10000
Acupuncture combined with nimodipine vs. nimodipineMMSE (6)−1−1000
Acupuncture combined with donepezil vs. donepezilMMSE (2)−100−1−1
Mai (2015)Scalp electroacupuncture vs. nimodipineTotal effective rate (3)−1000−1
Apparent efficiency (3)−100−1−1
MMSE (3)−1−100−1
Scalp acupuncture combined with CFT vs. CFTTotal effective rate (2)−100−1−1
Apparent efficiency (2)−100−1−1
MoCA (2)−1−10−1−1
Min (2016)Acupuncture vs. nimodipineMMSE (3)−1000−1
Clinical efficacy rate (3)−1000−1
Acupuncture combined with nimodipine vs. nimodipineMMSE (2)−100−1−1
Shuai (2016)Acupuncture combined with Western medicine vs. Western medicineMMSE (12)−1−1000
Acupuncture combined with drug vs. drugADL (6)−10000
Wang (2017)Acupuncture vs. ?Effective rate (16)−10000
Acupuncture or acupuncture combined with other therapies vs. medicineMMSE (7)−10000
Empirical acupuncture vs. ordinary acupunctureMMSE (3)−1−100−1
Li (2018)Acupuncture vs. no acupuncture therapyTotal effective rate (2)−100−1−1
MMSE (9)−1−1000
MoCA (5)−1−100−1
ADL (3)−1−100−1
CDT(2)−1−10−1−1
Kim (2019)Electroacupuncture vs. antidementia drugsMMSE (6)−1000−1
MoCA (2)−100−1−1

① = the design of the experiment with a large bias in random, distributive hiding, or blind. ② = funnel graph asymmetry. ③ = the confidence interval overlaps less, the heterogeneity test P is very small, and I2 is larger. ④ = the sample size is small, and the confidence interval is wide. ⑤ = fewer studies are included, and there may be greater publication bias. ?The original text does not clearly mention what the control group is.

Author (year)InterventionOutcomesLimitationsInconsistencyIndirectnessImprecisionPublication bias

Mao (2011)Acupuncture vs. donepezilMMSE (3)−100−1−1
Acupuncture vs. donepezilMQ (2)−1−10−1−1
Cao (2013)Acupuncture combined with CFT/donepezil vs. CFT/donepezilMMSE (6)−10000
MoCA (1)−100−1−1
Electroacupuncture combined with CFT vs. CFTMBI (1)−100−1−1
Electroacupuncture combined with nimodipine vs. nimodipineMBI (1)−100−1−1
Electroacupuncture vs. nimodipineMBI (1)−100−1−1
Hu (2014)Acupuncture vs. no acupuncture therapyEffective rate (9)−10000
Acupuncture combined with nimodipine vs. nimodipineMMSE (6)−1−1000
Acupuncture combined with donepezil vs. donepezilMMSE (2)−100−1−1
Mai (2015)Scalp electroacupuncture vs. nimodipineTotal effective rate (3)−1000−1
Apparent efficiency (3)−100−1−1
MMSE (3)−1−100−1
Scalp acupuncture combined with CFT vs. CFTTotal effective rate (2)−100−1−1
Apparent efficiency (2)−100−1−1
MoCA (2)−1000−1
Min (2016)Acupuncture vs. nimodipineMMSE (3)−1000−1
Clinical efficacy rate (3)−1000−1
Acupuncture combined with nimodipine vs. nimodipineMMSE (2)−100−1−1
Shuai (2016)Acupuncture combined with Western medicine vs. Western medicineMMSE (12)−1−1000
Acupuncture combined with drug vs. drugADL (6)−10000
Wang (2017)Acupuncture vs. ?Effective rate (16)−10000
Acupuncture or acupuncture combined with other therapies vs. medicineMMSE (7)−10000
Empirical acupuncture vs. ordinary acupunctureMMSE (3)−1−100−1
Li (2018)Acupuncture vs. no acupuncture therapyTotal effective rate (2)−100−1−1
MMSE (9)−1−1000
MoCA (5)−1−100−1
ADL (3)−1−100−1
CDT (2)−1−10−1−1
Kim (2019)Electroacupuncture vs. antidementia drugsMMSE (6)−1000−1
MoCA (2)−100−1−1

① = the design of the experiment with a large bias in random, distributive hiding, or blind. ② = funnel graph asymmetry. ③ = the confidence interval overlaps less, the heterogeneity test P is very small, and I2 is larger. ④ = the sample size is small, and the confidence interval is wide. ⑤ = fewer studies are included, and there may be greater publication bias. ?The original text does not clearly mention what the control group is.
3.4. Effects of Acupuncture

In the current study, with the exception of Liu et al. [40] and Lu et al. [41], all the other SRs were analysed by subgroup. Since the obtained data could not be quantitatively analysed, a descriptive analysis method was adopted to evaluate the relevant outcome indicators of the meta-analysis in the studies included in this study. Several analysis situations are summarized as follows.

3.4.1. MMSE Scores

Mao [39] found no difference between the therapeutic effect of acupuncture and donepezil hydrochloride on MCI (MD: 0.63, 95% CI: −0.20 to 1.46,  = 0.14; 2 trials). Cao et al. [42] suggested that acupuncture (MD: 1.99, 95% CI: 1.09–2.88,  < 0.0001; 6 trials) in conjunction with CFT/donepezil (0.25 mg daily) improved MMSE scores compared with CFT/donepezil alone. Hu et al. [43] found that there was a statistically significant difference between acupuncture combined with nimodipine (OR: 1.19, 95% CI: 0.67–1.70,  < 0.00001; 6 trials) or donepezil (OR: 0.70, 95% CI: 0.24–1.17,  = 0.003; 2 trials) in the treatment of MCI compared with nimodipine or donepezil alone. Deng and Wang [45] inferred that acupuncture significantly improved MMSE scores relative to the nimodipine group (MD: 0.99, 95% CI: 0.71–1.28,  < 0.01; 3 trials), and acupuncture combined with nimodipine significantly improved MMSE scores compared with nimodipine therapy alone (MD: 1.09, 95% CI: 0.29–1.89,  < 0.01; 2 trials). Mai and Zheng [44] found a significant difference in the treatment of MCI with scalp and electroacupuncture compared with nimodipine in improving MMSE scores (MD: 1.33, 95% CI: 0.85–1.82,  < 0.00001; 3 trials). Ting et al. [46] suggested that acupuncture plus drug for MCI could significantly improve MMSE scores (MD: 1.73, 95% CI: 1.28–2.18,  < 0.00001; 12 trials). Wang [47] pointed out that acupuncture or acupuncture combined with other therapies compared with medication for MCI has advantages in improving MMSE scores (MD: 1.54, 95% CI: 1.29–1.80,  < 0.00001; 7 trials). In addition, she suggested that the MMSE scores with the experience of acupuncture for MCI were better than those with ordinary acupuncture (MD: 2.98, 95% CI: 2.01–3.95,  < 0.00001; 3 trials). Li et al. [48] demonstrated that the MMSE scores in the experimental group showed greater improvement than those in the control group (MD: 1.47, 95% CI: 1.27–1.66,  < 0.00001; 9 trials). Kim et al. [49] suggested that there was a significant difference (MD: 0.65, 95% CI: 0.28–1.01,  = 0.0005; 6 trials) between the electroacupuncture and syndrome differentiation group or electroacupuncture alone group versus the antidementia drug group. The relevant results can be found in Table 20 and Figure 4.


NumberStudyInterventionMD/OR95% CIIncluded trialsGRADE rating
Treatment groupControl group

1Mao [39]AcupunctureDonepezil0.63−0.20–1.460.142Very low
2Cao et al. [42]Acupuncture combined with CFT/donepezilCFT/donepezil1.991.09–2.88<0.00016Low
3Hu et al. [43]Acupuncture combined with nimodipineNimodipine1.190.67–1.70<0.000016Low
4Acupuncture combined with donepezilDonepezil0.700.24–1.170.0032Very low
5Deng and Wang [45]AcupunctureNimodipine0.990.71–1.28<0.013Low
6Acupuncture combined with nimodipineNimodipine1.090.29–1.8<0.012Very low
7Mai and Zheng [44]Scalp electroacupunctureNimodipine1.330.85–1.82<0.000013Very low
8Ting et al. [46]Acupuncture combined with Western medicineWestern medicine1.731.28–2.18<0.0000112Low
9Wang [47]Acupuncture or acupuncture combined with other therapiesMedicine1.541.29–1.80<0.000017Moderate
10Empirical acupunctureOrdinary acupuncture2.982.01–3.95<0.000013Very low
11Li et al. [48]AcupunctureNo acupuncture therapy1.471.27–1.66<0.000019Low
12Kim et al. [49]ElectroacupunctureAntidementia drugs0.650.28–1.010.00056Low

CFT: cognitive function training; MD: mean difference; and OR: odds ratio.
3.4.2. MoCA Scores

Cao et al. [42] found that there was no significant difference between electroacupuncture in combination with donepezil and donepezil alone (MD: 1.37, 95% CI: −0.21–2.95,  = 0.09; 1 trial). Mai and Zheng [44] suggested that scalp acupuncture combined with CFT for MCI significantly improved the MoCA scores compared with CFT (MD: 2.12, 95% CI: 0.78–3.47,  = 0.002; 2 trials). Li et al. [48] found that the MoCA scores in the test group showed greater improvement than those in the control group in the treatment of MCI (MD: 0.70, 95% CI: 0.33–1.07,  = 0.0002; 5 trials). Kim et al. [49] suggested that electroacupuncture was equivalent to an antidementia drug (MD: 0.66, 95% CI: 0.00–1.32,  = 0.05; 2 trials). The relevant results can be found in Table 21 and Figure 5.


NumberStudyInterventionMD95% CIIncluded trialsGRADE rating
Treatment groupControl group

1Cao et al. [42]Electroacupuncture combined with donepezilDonepezil1.37−0.21–2.950.091Very low
2Mai and Zheng [44]Scalp acupuncture combined with CFTCFT2.120.78–3.470.0022Very low
3Li et al. [48]AcupunctureNo acupuncture therapy0.700.33–1.070.00025Very low
4Kim et al. [49]ElectroacupunctureAntidementia drugs0.660.00–1.320.052Very low

3.4.3. CMS Scores

Mao [39] found that there was no significant difference in the efficacy of either acupuncture alone or acupuncture combined with donepezil hydrochloride in the treatment of MCI compared with donepezil hydrochloride.

3.4.4. MQ Scores

Mao [39] found no difference between the therapeutic effect of acupuncture on mild cognitive dysfunction and donepezil hydrochloride. The GRADE rating is very low level.

3.4.5. ADL Scores

Ting et al. [46] indicated that the ADL scores could be significantly improved by acupuncture plus drug interventions (MD: 5.63, 95% CI: 4.40–6.87,  < 0.001; 6 trials). Li et al. [48] found that the improvement in the ADL scores in the test group was better than that in the control group in the treatment of MCI (MD: 2.00, 95% CI: 0.88–3.12,  = 0.0005; 3 trials). The relevant results can be found in Table 22 and Figure 6.


NumberStudyInterventionMD95% CIIncluded trialsGRADE rating
Treatment groupControl group

1Ting et al. [46]Acupuncture plus drugDrug5.634.40–6.87<0.0016Moderate
2Li et al. [48]AcupunctureNo acupuncture therapy2.000.88–3.120.00053Very low

3.4.6. CDT Scores

Li et al. [48] proposed that the CDT score improvement in the experimental group was better than that in the control group in the treatment of MCI (MD: 0.63, 95% CI: 0.47–0.79,  < 0.00001; 2 trials). The relevant results can be found in Table 23.


NumberStudyInterventionMD95% CIPIncluded trialsGRADE rating
Treatment groupControl group

1Li et al. [48]AcupunctureNo acupuncture therapy0.630.47–0.79<0.000012Very low

3.4.7. MBI Scores

Cao et al. [42] indicated that electroacupuncture in combination with CFT was superior to CFT alone (MD: 10.73, 95% CI: 6.25–15.21,  < 0.00001; 1 trial), and electroacupuncture in conjunction with nimodipine (90 mg daily) was also superior to nimodipine (90 mg daily) alone (MD: 10.57, 95% CI: 8.64–12.50,  < 0.00001; 1 trial). In addition, they reported that electroacupuncture effectively increased MBI scores compared with nimodipine (90 mg daily) (MD: 7.99, 95% CI: 6.29–9.69,  < 0.0001; 1 trial). The relevant results can be found in Table 24 and Figure 7.


NumberStudyInterventionMD95% CIIncluded trialsGRADE rating
Treatment groupControl group

1Cao et al. [42]Electroacupuncture combined with CFTCFT10.736.25–15.21<0.000011Very low
2Electroacupuncture combined with nimodipineNimodipine10.578.64–12.50<0.000011Very low
3ElectroacupunctureNimodipine7.996.29–9.69<0.00011Very low

3.4.8. Effective Rate

Hu et al. [43] suggested that acupuncture can increase the number of MCI patients showing an effective response (OR: 2.89, 95% CI: 2.10–3. 97,  < 0. 00001; 9 trials). Deng and Wang [45] demonstrated that the clinical efficacy rate was significantly higher in the acupuncture group than in the nimodipine group (OR: 1.78, 95% CI: 1.19–2.65,  < 0.01; 3 trials). Mai and Zheng [44] suggested that the total effective rate of scalp and electroacupuncture for MCI was better than that with nimodipine (RR: 1.53, 95% CI: 1.25–1.89,  < 0.0001; 3 trials), and the total effective rate of scalp acupuncture combined with CFT was equivalent to CFT (RR: 1.18, 95% CI: 0.94–1.47,  = 0.16; 2 trials). Mai and Zheng [44] also pointed out that the apparent efficacy of scalp and electroacupuncture for MCI was better than nimodipine (RR: 14.17, 95% CI: 3.44–58.44,  = 0.0002; 3 trials), and scalp acupuncture combined with CFT was equivalent to CFT in apparent efficiency (RR: 1.83, 95% CI: 0.72–6.64,  = 0.20; 2 trials). Wang [47] suggested that acupuncture treatment of MCI can increase the effective rate (RR: 1.49, 95% CI: 1.36–1.62,  < 0.0001; 16 trials). Li et al. [48] pointed out that the total effective rate for MCI in the experimental group was better than that in the control group (RR: 2.38, 95% CI: 1.11–5.11,  = 0.03; 2 trials). The relevant results can be found in Table 25 and Figure 8.


NumberStudyInterventionOR/RR95% CIIncluded trialsGRADE rating
Treatment groupControl group

1Hu et al. [43]AcupunctureNo acupuncture therapy2.892.10–3. 97<0. 000019Moderate
2Deng and Wang [45]AcupunctureNimodipine1.781.19–2.65<0.013Low
3Mai and Zheng [44]Scalp electroacupunctureNimodipine1.531.25–1.89<0.00013Low
414.173.44–58.440.00023Very low
5Scalp acupuncture combined with CFTCFT1.180.94–1.470.162Very low
61.830.72–6.640.202Very low
7Wang [47]Acupuncture?1.491.36–1.62<0.000116Moderate
8Li et al. [48]AcupunctureNo acupuncture therapy2.381.11–5.110.032Very low

?The original text does not clearly mention what the control group is.

4. Adverse Reactions

A total of 8 SRs [39, 4247, 49] mentioned adverse events, and the remaining 3 SRs did not mention them. Of these 8 SRs, 2 [42, 49] stated that there were no adverse events reported in the literature of the studies they included. The remaining studies mainly reported that the adverse events caused by acupuncture were pain [39], headache [44, 47], dizziness [44, 47], bleeding [44, 46], stun on acupuncture [44, 47], subcutaneous congestion [43], haematoma [44, 47], errhysis [45], fainting [45], diarrhoea [46], etc., and the adverse reactions caused by Western medicine included elevated transaminase [39], diarrhoea [46], and gastrointestinal reactions [45]. It can be seen that acupuncture will not cause important adverse events or even induce negative effects.

5. Discussion

5.1. The Methodological Quality of Systematic Evaluations of Acupuncture for MCI Is Not High

SRs are regarded as the highest quality evidence for guiding clinical decision-making [50]. With the emergence of an increasing number of studies on acupuncture treatment of MCI at home and abroad, the number of SRs in the literature evaluating the effectiveness of acupuncture is also increasing. However, deficiencies in research methodology and SR reporting often contribute to the reduced validity of conclusions. To our knowledge, this study is the first to evaluate the quality of the methodology and reporting of acupuncture for the treatment of MCI and to provide useful recommendations for future evaluators. Regrettably, the results of this study found that most SRs had problems in research methods and reporting quality, and the common problems were mainly reflected in the following aspects: (1) the systematic evaluation lacks the preliminary research programme; (2) the SR did not develop a detailed search strategy; (3) the SR did not provide a detailed list of excluded literature; (4) biased risk assessment was not accurate; (5) the influence of bias risk was not considered in the discussion and interpretation of the results; and (6) the conflicts of interest and funding sources were not reported. To some extent, this reflects the inconsistencies in the conclusion of the systematic evaluation and provides a reminder to improve the quality of SRs in future studies.

5.2. Acupuncture Can Improve MMSE Scores and Effective Rate in Patients with MCI, but the Quality of Evidence Is Not High

This study was originally intended to subdivide the subgroup analyses from different intervention methods of acupuncture on the basis of subgroup analysis through different scale scores. However, the intervention methods in most of the literature included in this study were not simple acupuncture. The combination methods were complex and diverse, and what kind of joint method was used was not adequately explained, so the subgroups could not be subdivided according to this assumption; therefore, different scales were used for this descriptive analysis. From this, we found that most literature studies indicated that acupuncture alone or in combination with other treatment methods increased MMSE scores and the effective rate, but there was still evidence that acupuncture would not increase them or may even produce the opposite result. Obviously, this reduces the utility of using the MMSE scale and the effective rate of acupuncture in patients with MCI. In addition, none of the literature explained whether patients had a basic acupuncture history before receiving acupuncture (such as acupuncture for diseases involving pain). Although most literature studies supported acupuncture for improving these clinical indicators, it was not clear whether other confounding factors, such as combined therapy, inappropriate control groups, cumulative acupuncture effects, or nonspecific effects of acupuncture, affected the results, and the reliability of the evaluation will decrease accordingly.

The other outcome indicators, such as the MoCA, CMS, MQ, ADL, MBI, and CDT, used in the results of the subgroup analysis, cannot be used to show that acupuncture therapy was superior to the control group due to the small number of studies described.

5.3. The Methodological Quality of SRs Was Assessed Using the AMSTAR 2 Tool, Which Was Stricter and More Comprehensive than AMSTAR

As a new evaluation tool released in 2017, AMSTAR 2 [32] was created by combining various opinions and undergoing strict revision procedures. Compared with AMSTAR, AMSTAR 2 refines the evaluation criteria for each item. It added and refined the evaluation items on the basis of the original scale and no longer adopts the total score method. It can be used to report the methodological quality of the systematic evaluation literature more directly and objectively, with good validity, reliability, and applicability. The main modifications included the evaluation of nonrandomized research in SRs, elaboration of PICO, treatment of risk of bias (RoB) in the process of evidence synthesis, possible reasons for heterogeneity and discussion of its impact, study of the rationality of design choices, and more. It was used for the first time to evaluate the methodology and reporting quality of acupuncture treatment for MCI. Researchers rigorously evaluated each item during use. Although the literature included in this study was evaluated by AMSTAR 2, the results showed that the quality of the vast majority of the literature is extremely low. At the same time, on the contrary, it indicated that the evaluation results are highly credible and have good consistency and practicality among the evaluators. Therefore, in future systematic reviews, AMSTAR 2 is recommended as a tool for evaluating method quality.

5.4. The Design of Acupuncture Clinical Studies Is a Challenge

The clinical design of studies with acupuncture has always been a challenge. No one can design a perfect and rigorous clinical scheme, especially methods for blinding of acupuncturists. Due to the different design methods used in each study, the bias caused by different blinding effects of physicians is unavoidable. In addition, most of the literature studies in this study did not mention the acupoints used, and only three SRs mentioned the acupoints used in the study. Mao [39] mentioned that GV20, GB20, GV24, and EX-HN1 were commonly used acupoints. Lu et al. [41] mentioned the top 8 acupoints most frequently used: GV20, EX-HN1, GV24, GB20, GB13, KI03, LR03, and ST36. Hu et al. [43] mentioned that the most commonly used acupoints were GV20, GB20, EX-HN1, GV24, KI03, BL23, GB39, LR03, ST40, SP10, ST36, GB13, BL18, PC06, LI04, KI06, and HT07. It can be seen that there is no unified and standard acupuncture point for acupuncture treatment of MCI, but it is mainly based on dialectical traditional Chinese medical theories such as tonifying the liver and kidney, resolving phlegm and resuscitation, and relieving the liver and qi and then applying the treatment. In addition, the course of acupuncture treatment for MCI cannot be unified, which had an inevitable impact on the evaluation of SRs.

5.5. Limitations

We must acknowledge the limitations in this study: (1) the quality defects of the included SRs are to a certain extent, a key factor affecting our evaluation results. (2) Only Chinese and English SRs were included. Language limitations may have affected the results. (3) This was the first time that the evaluation analysts used the AMSTAR 2 scale. The evaluation of many items involved is inevitably subjective and may have led to bias. (4) The interventions included in the systematic review were diverse and cannot be quantitatively combined to analyse their effect values.

6. Conclusion

Acupuncture, either alone or as an adjunct to other interventions, has been effectively applied in the clinical practice of treating patients with MCI. Based on the AMSTAR 2 and PRISMA guidelines, this study evaluated studies with poor methods and reporting of acupuncture for MCI. According to the GRADE quality evaluation results, this review provides low-quality evidence for the effectiveness of acupuncture in the treatment of MCI. Although we cannot draw clear conclusions due to the poor quality of the included SRs, the available evidence suggests that acupuncture may be effective for MCI to some extent. In the future, SRs and RCTs in this field should improve their methodology and reporting quality in accordance with strict design principles.

Disclosure

Tinghui Hou and Qianhua Zheng are the co-first authors of this study. The funder played no role in study design, data collection, analysis, interpretation of data, and writing of the study.

Conflicts of Interest

The authors declare that there are no conflicts of interest concerning this work.

Authors’ Contributions

HTH conceived and designed the study and drafted the manuscript. LY and FXM searched and identified the articles and extracted the data. FXM and WL assessed the quality of the SRs. HTH and ZQH analysed and interpreted the data. ZQH revised the draft. LY directed the writing of the entire article. All authors have approved the final version of the manuscript.

Acknowledgments

This research was funded by the Project of Xinglin Scholar Program of Chengdu University of Traditional Chinese Medicine in Sichuan province, China (no. YXRC2018007).

References

  1. R. C. Petersen, “Mild cognitive impairment,” CONTINUUM: Lifelong Learning in Neurology, vol. 22, no. 2, Dementia, pp. 404–418, 2016. View at: Publisher Site | Google Scholar
  2. K. F. Hunter, B. Parke, M. Babb et al., “Balancing safety and harm for older adults with dementia in rural emergency departments: healthcare professionals’ perspectives,” Rural Remote Health, vol. 17, no. 1, p. 4055, 2017. View at: Publisher Site | Google Scholar
  3. R. C. Petersen, B. Caracciolo, C. Brayne, S. Gauthier, V. Jelic, and L. Fratiglioni, “Mild cognitive impairment: a concept in evolution,” Journal of Internal Medicine, vol. 275, no. 3, pp. 214–228, 2014. View at: Publisher Site | Google Scholar
  4. S. J. B. Vos, I. A. van Rossum, F. Verhey et al., “Prediction of Alzheimer disease in subjects with amnestic and nonamnestic MCI,” Neurology, vol. 80, no. 12, pp. 1124–1132, 2013. View at: Publisher Site | Google Scholar
  5. H. Julie and G. Mary, “Dementia and cognitive impairment: epidemiology, Diagnosis,and treatment,” Clinics in Geriatric Medicine, vol. 30, no. 3, pp. 421–442, 2014. View at: Google Scholar
  6. A. C. Tricco, C. Soobiah, E. Lillie et al., “Use of cognitive enhancers for mild cognitive impairment: protocol for a systematic review and network meta-analysis,” Systematic Reviews, vol. 1, no. 1, p. 25, 2012. View at: Publisher Site | Google Scholar
  7. O. L. Lopez, W. J. Jagust, S. T. DeKosky et al., “Prevalence and classification of mild cognitive impairment in the cardiovascular health study cognition study,” Archives of Neurology, vol. 60, no. 10, pp. 1385–1389, 2003. View at: Publisher Site | Google Scholar
  8. G. Ravaglia, P. Forti, F. Montesi et al., “Mild cognitive impairment: epidemiology and dementia risk in an elderly Italian population,” Journal of the American Geriatrics Society, vol. 56, no. 1, pp. 51–58, 2008. View at: Publisher Site | Google Scholar
  9. D. Ding and Z. Hong, “Advances in the epidemiology of senile dementia and mild cognitive impairment,” Chinese Clinical Neuroscience, vol. 21, no. 1, pp. 101–108, 2013. View at: Google Scholar
  10. D. S. Zhou, Y. E. Xu, Z. M. Chen et al., “Investigation on the prevalence of mild cognitive impairment in the elderly,” Public Health in China, vol. 27, no. 11, pp. 1375–1377, 2011. View at: Google Scholar
  11. A. Rashid, A. Azizah, and S. Rohana, “Cognitive impairment among the elderly Malays living in rural Malaysia,” Medical Journal of Malaysia, vol. 67, pp. 187–189, 2012. View at: Google Scholar
  12. R. C. Petersen, “Mild cognitive impairment,” New England Journal of Medicine, vol. 364, no. 23, pp. 2227–2234, 2011. View at: Publisher Site | Google Scholar
  13. R. C. Petersen, “Mild cognitive impairment as a diagnostic entity,” Journal of Internal Medicine, vol. 256, no. 3, pp. 183–194, 2004. View at: Publisher Site | Google Scholar
  14. “Dementia and cognitive impairment: epidemiology, diagnosis, and treatment julie hugo, MD and mary ganguli, MD, MPH,” Clinics in Geriatric Medicine, vol. 30, no. 3, pp. 421–442, 2014. View at: Google Scholar
  15. D. S. Knopman and R. C. Petersen, “Mild cognitive impairment and mild dementia: a clinical perspective,” Mayo Clinic Proceedings, vol. 89, no. 10, pp. 1452–1459, 2014. View at: Publisher Site | Google Scholar
  16. M. Y. Zhang, P. J. Chen, Y. L. He et al., “Incidence of dementia and Alzheimer’s disease,” Chinese Journal of Psychiatry, vol. 31, pp. 195–198, 1998. View at: Google Scholar
  17. H. C. Rossetti, L. H. Lacritz, C. M. Cullum, and M. F. Weiner, “Normative data for the montreal cognitive assessment (MoCA) in a population-based sample,” Neurology, vol. 77, no. 13, pp. 1272–1275, 2011. View at: Publisher Site | Google Scholar
  18. R. López Mongil, “Cognitive impairment/dementia: assessment and follow-up. Functional aspects,” Revista española de geriatría y gerontología, vol. 52, no. Suppl 1, pp. 28–33, 2017. View at: Google Scholar
  19. S. Borson, J. Scanlan, M. Brush, P. Vitaliano, and A. Dokmak, “The Mini-Cog: a cognitive ?vital signs? measure for dementia screening in multi-lingual elderly,” International Journal of Geriatric Psychiatry, vol. 15, no. 11, pp. 1021–1027, 2000. View at: Publisher Site | Google Scholar
  20. J. N. Vega and P. A. Newhouse, “Mild cognitive impairment: diagnosis, longitudinal course, and emerging treatments,” Current Psychiatry Reports, vol. 16, no. 10, p. 490, 2014. View at: Publisher Site | Google Scholar
  21. M. S. Albert, S. T. DeKosky, D. Dickson et al., “The diagnosis of mild cognitive impairment due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease,” Alzheimer’s & Dementia, vol. 7, no. 3, pp. 270–279, 2011. View at: Publisher Site | Google Scholar
  22. S. Weintraub, A. H. Wicklund, and D. P. Salmon, “The neuropsychological profile of Alzheimer disease,” Cold Spring Harbor Perspectives in Medicine, vol. 2, no. 4, Article ID a006171, 2012. View at: Publisher Site | Google Scholar
  23. H. Seelaar, W. Kamphorst, S. M. Rosso et al., “Distinct genetic forms of frontotemporal dementia,” Neurology, vol. 71, no. 16, pp. 1220–1226, 2008. View at: Publisher Site | Google Scholar
  24. Chinese Medicine Association Neurology Branch Dementia and Cognitive Impairment Group Writing Group China Alzheimer’s Disease Association, “Guidelines for the diagnosis and treatment of dementia and cognitive impairment in China: diagnosis and treatment of mild cognitive impairment,” Chinese Medical Journal, vol. 90, no. 41, pp. 2887–2893, 2010. View at: Google Scholar
  25. J. Shi, J. N. Ni, J. Z. Tian et al., “Guidelines for diagnosis and treatment of dementia in China—interpretation of diagnosis and treatment guidelines for mild cognitive impairment,” Chinese Journal of Medical Frontiers (Electronic Edition), vol. 4, no. 10, pp. 67–70, 2012. View at: Google Scholar
  26. L. H. Zhao and J. H. Su, “Clinical research progress of acupuncture treatment of mild cognitive impairment,” Journal of Guangxi University of Chinese Medicine, vol. 21, no. 2, pp. 92–95, 2018. View at: Google Scholar
  27. C. Schwarz, M. Wirth, L. Gerischer et al., “Effects of omega-3 fatty acids on resting cerebral perfusion in patients with mild cognitive impairment: a randomized controlled trial,” Journal of Prevention of Alzheimer’Disease, vol. 5, no. 1, pp. 26–30, 2018. View at: Google Scholar
  28. S. H. Wang, H. L. Yang, J. Zhang et al., “Efficacy and safety assessment of acupuncture and nimodipine to treat mild cognitive impairment after cerebral infarction: a randomized controlled trial,” BMC Complementary and Alternative Medicine, vol. 16, no. 1, p. 361, 2016. View at: Publisher Site | Google Scholar
  29. Y. Shan, J.-J. Wang, Z.-Q. Wang et al., “Neuronal specificity of acupuncture in Alzheimer’s disease and mild cognitive impairment patients: a functional mri study,” Evidence-Based Complementary and Alternative Medicine, vol. 2018, Article ID 7619197, 10 pages, 2018. View at: Publisher Site | Google Scholar
  30. J. Xiong and Y. H. Du, “Thoughts on the quality of domestic acupuncture system evaluation/meta analysis methodology,” Acupuncture Research, vol. 36, no. 1, pp. 72–75, 2011. View at: Google Scholar
  31. J. F. Xu, N. An, W. W. Zhou et al., “Interventional systematic review/meta analysis method quality evaluation published in the Chinese Journal of Evidence-based Medicine,” Chinese Journal of Evidence-Based Medicine, vol. 13, no. 5, pp. 605–611, 2013. View at: Google Scholar
  32. B. J. Shea, B. C. Reeves, G. Wells et al., “AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both,” BMJ, vol. 358, Article ID j4008, 2017. View at: Publisher Site | Google Scholar
  33. A. Liberati, D. G. Altman, J. Tetzlaff et al., “The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions:explanation and elaboration,” Journal of Clinical Epidemiology, vol. 62, no. 10, pp. e1–34, 2009. View at: Publisher Site | Google Scholar
  34. A. David, B. Dana, A. B. Peter et al., “Grading quality of evidence and strength of recommendations,” BMJ, vol. 328, no. 7454, p. 1490, 2004. View at: Publisher Site | Google Scholar
  35. T. Gao, Q. Zheng, T. Hou, Y. Luo, Y. Shi, and Y. Li, “Acupuncture for depression: an overview of systematic reviews,” European Journal of Integrative Medicine, vol. 28, pp. 1–13, 2019. View at: Publisher Site | Google Scholar
  36. Y.-N. Luo, Q.-H. Zheng, Z.-B. Liu, F.-R. Zhang, Y. Chen, and Y. Li, “Methodological and reporting quality evaluation of systematic reviews on acupuncture in women with polycystic ovarian syndrome: a systematic review,” Complementary Therapies in Clinical Practice, vol. 33, pp. 197–203, 2018. View at: Publisher Site | Google Scholar
  37. X. M. Zhang, X. Q. Zhang, S. Y. Han et al., “Effectiveness of perioperative exercise in patients with non-small cell lung cancer:an overview of systematic reviews,” Chinese General Practice, vol. 23, no. 26, pp. 3324–3329, 2020. View at: Google Scholar
  38. X. T. Zhang, Y. Y. Hu, X. Y. Zhang et al., “An overview of systematic reviews on Tuina from 2013 to 2017,” Chinese Journal of Evidence-Based Medicine, vol. 19, no. 3, pp. 361–367, 2019. View at: Google Scholar
  39. S. Z. Mao, “Systematic review of acupuncture for mild cognitive impairment,” Chengdu University of Traditional Chinese Medicine, Chengdu, China, 2011, Master’s thesis. View at: Google Scholar
  40. J. H. Liu, J. Chen, and D. F. Yan, “Meta-analysis of the effects of acupuncture on mild cognitive impairment,” Journal of Changchun University of Traditional Chinese Medicine, vol. 27, no. 4, pp. 537-538, 2011. View at: Google Scholar
  41. X. Lu, S. Hongcai, W. Jiaying et al., “Assessing the quality of reports about randomized controlled trials of acupuncture treatment on mild cognitive impairment,” PLoS One, vol. 6, no. 2, Article ID e16922, 2011. View at: Publisher Site | Google Scholar
  42. H. Cao, Y. Wang, D. Chang, L. Zhou, and J. Liu, “Acupuncture for vascular mild cognitive impairment: a systematic review of randomised controlled Trials,” Acupuncture in Medicine, vol. 31, no. 4, pp. 368–374, 2013. View at: Publisher Site | Google Scholar
  43. J. Hu, N. Zhang, Z. X. Wang et al., “Systematic review of acupuncture for mild cognitive impairment,” Chinese Folk Medicine, vol. 23, no. 12, pp. 17–21, 2014. View at: Google Scholar
  44. W. Mai and J. H. Zheng, “Clinical efficacy of scalp acupuncture on mild cognitive impairment:a meta analysis study,” Journal of Liaoning University of Traditional Chinese Medicine, vol. 17, no. 12, pp. 121–124, 2015. View at: Google Scholar
  45. M. Deng and X.-F. Wang, “Acupuncture for amnestic mild cognitive impairment: a meta-analysis of randomised controlled trials,” Acupuncture in Medicine, vol. 34, no. 5, pp. 342–348, 2016. View at: Publisher Site | Google Scholar
  46. S. Ting, Z. Hui, Y. Li-Juan et al., “The effect of acupuncture plus drug versus drug alone on patients with mild cognitive impairment: a systematic review,” Traditional Medicine Research, vol. 1, no. 1, pp. 11–20, 2016. View at: Google Scholar
  47. Y. Wang, “MCI Patients’ MMSE Scale, investigation of blood lipids and meta-analysis of acupuncture application,” Guangxi University of Traditional Chinese Medicine, Nanning, China, 2017, Master’s thesis. View at: Google Scholar
  48. S. Y. Li, Q. Hu, J. Lang et al., “Systematic review of acupuncture treatment of mild cognitive impairment,” Yunnan Journal of Traditional Chinese Medicine, vol. 39, no. 10, pp. 73–76, 2018. View at: Google Scholar
  49. H. Kim, H. K. Kim, S. Y. Kim et al., “Cognitive improvement effects of electroacupuncture for the treatment of MCI compared with Western medications: a systematic review and Meta-analysis,” BMC Complementary and Alternative Medicine, vol. 19, no. 1, p. 13, 2019. View at: Publisher Site | Google Scholar
  50. L. Manchikanti, R. M. Benyamin, S. Helm et al., “Evidence-based medicine, systematic reviews, and guidelines in interventional pain management: part 3: systematic reviews and meta-analyses of randomized trials,” Pain Physician, vol. 12, no. 1, pp. 35–72, 2009. View at: Google Scholar

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