Impact of data extraction errors in meta-analyses on the association between depression and peripheral inflammatory biomarkers: an umbrella review
Articolo
Data di Pubblicazione:
2021
Abstract:
Accumulating evidence suggests that alterations in inflammatory biomarkers are important in depression. However, previous meta-analyses disagree on these associations, and errors in data extraction may account for these discrepancies.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Data extraction error; depression; inflammatory biomarker; meta-analysis; umbrella review
Elenco autori:
Lee, San; Lee, Keum Hwa; Park, Kyung Mee; Park, Sung Jong; Kim, Won Jae; Lee, Jinhee; Kronbichler, Andreas; Smith, Lee; Solmi, Marco; Stubbs, Brendon; Koyanagi, Ai; Jacob, Louis; Stickley, Andrew; Thompson, Trevor; Dragioti, Elena; Hans, Oh; Brunoni, Andre R; Carvalho, Andre F; Radua, Joaquim; Suk Kyoon, An; Namkoong, Kee; Lee, Eun; Shin, Jae Il; Fusar-Poli, Paolo
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