Abstract
Background: We critically evaluated the risk of bias in published systematic reviews (SRs) and meta-analyses (MAs) pertaining to COVID-19 using ROBIS tool.
Materials And Methods: MEDLINE and Cochrane Central Library were searched for SRs/MAs on 14th May 2020, including studies of all designs describing various facets of COVID-19 in humans; no restrictions were applied for interventions, comparators, and outcomes. Two reviewers independently assessed all the SRs/MAs with ROBIS.
Results: Out of 204 identified records, 48 SRs/MAs were included. The most frequently reviewed topics were therapy outcomes, diagnosis, and comorbidities (15, 8, and 6 papers respectively). Only 29/48(60.41%) papers had made a mention of using PRISMA or other guidelines for drafting the SR/MA. Only 5/48(10.42%) of all included SRs/MAs had low overall risk of bias as per ROBIS tool; 41/48(85.42%) had high risk of bias, 2/48(4.17%) had unclear risk of bias. The highest proportion of bias was found in data synthesis and findings (30/48, 62.50% of studies had high risk of bias), followed by study identification and selection (29/48, 60.42%). The IRR for methodological quality assessment was substantial, with the Cohen’s kappa values being 0.64, 0.68, 0.62, and 0.75 for domains 1-4 of ROBIS tool, and 0.66 for overall risk of bias assessment.
Conclusion: There are serious concerns about the methodology employed to generate the results of the SRs/ MAs pertaining to COVID-19, with ‘quantity’ seemingly being given more importance than ‘quality’ of the paper.
Keywords: COVID-19, systematic reviews, meta-analysis, ROBIS, comorbidities, methodological quality.
Graphical Abstract
[http://dx.doi.org/10.1016/j.canep.2017.08.013]
[http://dx.doi.org/10.7599/hmr.2015.35.1.23]
[http://dx.doi.org/10.2196/10769] [PMID: 30920371]
[http://dx.doi.org/10.1016/j.juro.2011.03.044] [PMID: 21600615]
[http://dx.doi.org/10.2106/JBJS.L.00597] [PMID: 23780547]
[http://dx.doi.org/10.1136/bmj.b2535] [PMID: 19622551]
[http://dx.doi.org/10.1016/j.jclinepi.2015.06.005] [PMID: 26092286]
[http://dx.doi.org/10.1016/j.jclinepi.2017.06.019] [PMID: 28694122]
[http://dx.doi.org/10.6061/clinics/2019/e1316] [PMID: 31721908]
[http://dx.doi.org/10.1371/journal.pone.0234705] [PMID: 32555708]
[http://dx.doi.org/10.1097/MD.0000000000016301] [PMID: 31305415]
[http://dx.doi.org/10.1007/s40272-020-00404-4] [PMID: 32488731]
[PMID: 21286370]
[http://dx.doi.org/10.4103/picr.PICR_123_17] [PMID: 29109937]
[http://dx.doi.org/10.3346/jkms.2018.33.e92] [PMID: 29542301]
[http://dx.doi.org/10.1111/bju.13653] [PMID: 27611722]
[http://dx.doi.org/10.1016/j.vaccine.2014.01.060] [PMID: 24513008]
[http://dx.doi.org/10.1097/PRS.0000000000001898] [PMID: 26710056]
[http://dx.doi.org/10.1177/1753193417712660] [PMID: 28610464]
[http://dx.doi.org/10.1136/bmjopen-2018-023357] [PMID: 30185581]
[http://dx.doi.org/10.1177/014107680609900414] [PMID: 16574968]
[http://dx.doi.org/10.5999/aps.2020.00262] [PMID: 32203987]
[http://dx.doi.org/10.1099/mgen.0.000259] [PMID: 30938670]