Author: Bellos, Ioannis
Title: A meta-research study revealed susceptibility of Covid-19 treatment research to white hat bias: First, do no harm Cord-id: j7vb8jb4 Document date: 2021_3_26
ID: j7vb8jb4
Snippet: OBJECTIVE: : To investigate the presence of white hat bias in Covid-19 treatment research by evaluating the effects of citation and reporting bias. STUDY DESIGN AND SETTING: : Citation bias was investigated by assessing the degree of agreement between evidence provided by a remdesivir randomized controlled trial and its citing articles. The dissimilarity of outcomes derived from non-randomized and randomized studies was tested by a meta-analysis of hydroxychloroquine effects on mortality. The di
Document: OBJECTIVE: : To investigate the presence of white hat bias in Covid-19 treatment research by evaluating the effects of citation and reporting bias. STUDY DESIGN AND SETTING: : Citation bias was investigated by assessing the degree of agreement between evidence provided by a remdesivir randomized controlled trial and its citing articles. The dissimilarity of outcomes derived from non-randomized and randomized studies was tested by a meta-analysis of hydroxychloroquine effects on mortality. The differential influence of studies with beneficial over those with neutral results was evaluated by a bibliometric analysis. RESULTS: : The articles citing the ACTT-1 remdesivir trial preferentially presented its positive outcomes in 55.83% and its negative outcomes in 6.43% of cases. The hydroxychloroquine indicated no significant effect by randomized studies, but a significant survival benefit by non-randomized ones. Citation mapping revealed that the study reporting survival benefit from the hydroxychloroquine-azithromycin combination was the most influential, despite subsequent studies reporting potential harmful effects. CONCLUSION: : The present study raises concerns about citation bias and a predilection of reporting beneficial over harmful effects in the Covid-19 treatment research, potentially in the context of white hat bias. Pre-registration, data sharing and avoidance of selective reporting are crucial to ensure the credibility of future research.
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