Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/85719
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dc.contributor.authorBaasan, Odgerel-
dc.contributor.authorFreihat, Omar-
dc.contributor.authorNagy, David U.-
dc.contributor.authorLohner, Szimonetta-
dc.date.accessioned2022-05-10T06:35:22Z-
dc.date.available2022-05-10T06:35:22Z-
dc.date.issued2022-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/87671-
dc.identifier.urihttp://dx.doi.org/10.25673/85719-
dc.description.abstractBackground: All randomized-controlled trials (RCTs) are required to follow high methodological standards. In this study, we aimed to assess the methodological quality of published cardiovascular clinical research trials in a representative sample of RCTs published in 2017. Methods: Cochrane Central Register of Controlled Trials was used to identify cardiovascular clinical research trials with adult participants published in 2017. Overall, 250 (10%) RCTs were randomly selected from a total of 2,419 studies. Data on general trial characteristics were extracted and the risk of bias (RoB) was determined. Results: Overall, 86% of RCTs have reported at least one statistically significant result, with the primary outcome significant in 69%, treatment favored in 55%, and adverse events reported in 68%. Less than one-third (29%) of trials were overall low RoB, while the other two-thirds were rated unclear (40%) or with high RoB (31%). Sequence generation, allocation concealment, and selective reporting were the domains most often rated with high RoB. Drug trials were more likely to have low RoB than non-drug trials. Significant differences were found in RoB for the allocation concealment and blinding of participants and personnel between industry-funded and non-industry-funded trials, with industry-funded trials more often rated at low RoB. Conclusion: Almost two-thirds of RCTs in the field of cardiovascular disease (CVD) research, were at high or unclear RoB, indicating a need for more rigorous trial planning and conduct. Prospective trial registration is a factor predicting a lower risk of bias.eng
dc.description.sponsorshipPublikationsfonds MLU-
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc607-
dc.titleMethodological quality and risk of bias assessment of cardiovascular disease research : analysis of randomized controlled trials published in 2017eng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleFrontiers in Cardiovascular Medicine-
local.bibliographicCitation.volume9-
local.bibliographicCitation.publishernameFrontiers Media-
local.bibliographicCitation.publisherplaceLausanne-
local.bibliographicCitation.doi10.3389/fcvm.2022.830070-
local.openaccesstrue-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

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