Disease Markers

Research Article

Association of the Expression Level of miR-16 with Prognosis of Solid Cancer Patients: A Meta-Analysis and Bioinformatic Analysis

Table 1

Characteristics of the studies included in the meta-analysis.
AuthorYearCountryNo. of patientsNo. of malesAge at baseline (mean/median/range) (years)BiosamplePositionStageFollow-up (mean/median/range) (month)ScoreStatistical methodCutoff
Wang et al. [31]2012China8549/57/23-84TissueColorectumI-IV/52/2-5913Cox modelUpper tertile
Qian et al. [29]2013China14392NATissueColorectumI-IV/57.4/2.2-108.414Cox modelBest performing (0.52)
Wang et al. [32]2013USA39120362.05//SerumLungIII-IV/10.3/1.0–85.716Cox modelMedian (0.71)
Cascione et al. [27]2013USA1730/43/20-50TissueBreastI-IV/79/9-19416Cox modelComparison with corresponding adjacent normal tissue
Xiao et al. [16]2014China12676/66/22-82TissueColorectumI-IV/74.16/12-12015Cox modelMedian (1.93)
Li et al. [19]2015China3830NAPlasmaEsophagusI-IV/22/4-9514Log-rankMedian
Ren et al. [14]2016China180130NATissueStomachI-IV/85.2/79.2-97.213Cox model2-fold change
Dwivedi et al. [15]2016USA2160NATissueOvaryNANA8Log-rankBest performing (0.41)
Guo et al. [28]2016China1205351.59//SerumSkinI-IV39.32//15Cox modelMedian (0.399)
Diamantopoulos et al. [18]2017Greece1829567.5//TissueColorectumI-IV//≥13215Cox modelBest performing (5.05)
Tian et al. [30]2017China13284/45/12-78TissueBrainNA/20/5-5016Cox modelBest performing
Li et al. [33]2018China3860//28-79SerumBreastI-IV/31/19-4019Cox modelBest performing (0.3)
Hu et al. [17]2018China13182NATissueOralI-IVNA12Cox modelMedian
The optimal cutoff value was determined by plotting the receiver operating characteristic (ROC) curve.