Review Article

Diagnostic Accuracy of Predictive Models in Prostate Cancer: A Systematic Review and Meta-Analysis

Table 1

Baseline characteristics for studies included in meta-analysis.

IDAuthor NameCountryWHO regionSample sizeMean age/range/medianAUCModel contentScoreModel name

1Ankerst et al. [17]USAAmericas57563.40.69 (0.65–0.74)Total PSA
Family history
DRE
Free PSA
7Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) model
0.64 (0.65–0.74)Total PSA
Family history
DRE
Free PSA
[-2] Pro PSA

2Boesen et al. [14]DenmarkEurope876650.89 (0.87–0.92)Age
PSA density
cTDRE
bpMRI
8Advanced imaging model
0.78 (0.75–0.82)PSA
cTDRE
Baseline model
0.84 (0.81–0.86)bpMRIImaging model
0.85 (0.83–0.88)Age
PSA density
cTDRE
Advanced model

3Dwivedi et al. [15]IndiaSoutheast Asia137650.66 (NA)Age
ADC
PSA
Metabolic ratio
9Original
0.78 (NA)Age
ADC
PSA
Metabolic ratio
DW-MRI
Original
0.83 (NA)Age
ADC
PSA
Metabolic ratio
MRSI
Original
0.89 (0.83–0.95)Age
ADC
PSA
Metabolic ratio
mpMRI (MRSI +  DW-MRI)
Developed
model

4Foley et al. [18]IrelandEurope25063.70.71 (0.64–0.77)Age at biopsy
Abnormality on DRE
Family history
Previous negative biopsy
Total PSA
Free PSA
p2PSA
7Predicting PHI
0.62 (0.55–0.69)Age at biopsy
Abnormality on DRE
Family history
Previous negative biopsy
PSA
Predicting PSA
5Nam et al. [19]CanadaAmericas2130Median age 630.67 (0.65–0.69)Age
Family history
Ethnicity
Urinary voiding Symptom score
DRE
PSA
free: total PSA ratio
8Sunnybrook nomogram-based prostate cancer risk calculator (SRC)
0.61 (0.59–0.64)Age
Family history
Ethnicity
DRE
PSA
Prostate Cancer Prevention Trial (PCPT)-based risk calculator (PRC)

6Roffman et al. [20]USAAmericas1672670.73 (0.71–0.75)Age
BMI
Diabetes status
Smoking status
Emphysema
Asthma
Race
Ethnicity
Hypertension
Heart disease
Exercise habits
History of stroke
9Multi parameterized artificial neural network (ANN)

7Roobol et al. [21]NetherlandEurope358068Low-risk PCa
0.70 (0.68–0.72)
Age
PSA (class via
DRE)
Abnormal DRE
Prostate volume
9DRE-model
Low-risk PCa
0.73 (0.70–0.75)
PSA
Age
Abnormal DRE
Prostate volume
Abnormal TRUS
TRUS model
8Roobol et al. [16]NetherlandsEurope740Median age 610.77 (0.73–0.81)PSA
DRE
Prostate volume
Prior biopsy
8GOTEBORG-R1
cohort
DRE vol-RC model
740Median age 610.71 (0.67–0.76)PSA
DRE
Prior biopsy
GOTEBORG-R1
cohort
PSA DRE-model
1241Median age 630.60 (0.57–0.64)PSA
DRE
Prostate volume
Prior Biopsy
GOTEBORG-R2–6
cohort
DRE vol-RC model
1241Median age 630.56 (0.52–0.60)PSA
DRE
Prior biopsy
GOTEBORG-R2–6 cohort
PSA DRE-model
2895Median age 660.74 (0.72–0.79)PSA
DRE
Prostate volume
Prior biopsy
Family history
ROTTERDAM-R1
cohort
DRE vol-RC model
1494Median age 670.65 (0.62–0.69)PSA
DRE
Prostate volume
Prior biopsy
Family history
ROTTERDAM-R2-3 cohort
DRE vol-RC model
1494Median age 670.60 (0.57–0.63)PSA
DRE
Prior biopsy
Family history
ROTTERDAM-R2-3 cohort
PSA DRE-model
2631Median age 640.66 (0.64–0.68)PSA
DRE
Prostate volume
Biopsy Gleason grade
Family history
African origin
Prior biopsy
CCF cohort
DRE vol-RC model
2631Median age 640.62 (0.60–0.64)PSA
DRE
Biopsy Gleason grade
Family history
African origin
Prior biopsy
CCF cohort
PSA DRE-model
4199Median age 630.72 (0.70–0.73)PSA
DRE
Prostate volume
Prior biopsy
Tyrol cohort
DRE vol-RC model
4199Median age 630.67 (0.65–0.69)PSA
DRE
Prior biopsy
Tyrol cohort
PSA DRE-model

Abbreviations. PSA: prostate-specific antigen, DRE: digital rectal examination, PCPTRC: prostate cancer prevention trial risk calculator, PRC: prostate cancer prevention trial (PCPT)-based risk calculator, ANN: artificial neural network, TRUS: transrectal ultrasound, DW-MRI: diffusion-weighted magnetic resonance imaging, BMI: body mass index, SRC: Sunnybrook nomogram–based prostate cancer risk calculator, MRSI: magnetic resonance spectroscopic imaging, ADC: apparent diffusion coefficients, and PHI: prostate health index.