Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review.
San LeeKeum Hwa LeeKyung Mee ParkSung Jong ParkWon Jae KimJinhee LeeAndreas KronbichlerLee SmithMarco SolmiBrendon StubbsAi KoyanagiLouis JacobAndrew StickleyTrevor ThompsonElena DragiotiHans OhAndre R BrunoniAndre F CarvalhoJoaquim RaduaSuk Kyoon AnKee NamkoongEun LeeYoun Ho ShinPaolo Fusar-PoliPublished in: Psychological medicine (2021)
These findings show that data extraction errors in meta-analyses can impact findings. Efforts to reduce such errors are important in studies of the association between depression and peripheral inflammatory biomarkers, for which high heterogeneity and conflicting results have been continuously reported.