Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review.

Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review.
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DOI:
10.1016/j.jclinepi.2022.12.005
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发表时间:
2023-02
影响因子:
7.2
通讯作者:
Wynants, Laure
Wynants, Laure
中科院分区:
医学2区
文献类型:
--
作者:
Hudda, Mohammed T.;Archer, Lucinda;van Smeden, Maarten;Moons, Karel G. M.;Collins, Gary S.;Steyerberg, Ewout W.;Wahlich, Charlotte;Reitsma, Johannes B.;Riley, Richard D.;Van Calster, Ben;Wynants, Laure

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评估在同行评审过程后报告冠状病毒(COVID-19)预测模型的完整性的改进。对COVID-19预测模型的实时系统评价中包含的研究进行了评估,其中包括预印本和同行评审的出版版本。主要结局是预印本和已发表手稿之间对个体预后或诊断多变量预测模型(TRIPOD)报告指南的透明报告依从性百分比的变化。确定了19项研究,包括7项(37%)模型开发研究,2项现有模型的外部验证(11%)和10篇(53%)报告同一模型开发和外部验证的论文。预印本的中位依从性百分比为33%(最小值-最大值:10 - 68%)。在11/19项研究(58%)中,TRIPOD组分的依从性百分比从预印本到出版物增加,其余8项研究的依从性不变。在所有研究中,依从性的中位数变化仅为3个百分点(pp,最小值-最大值:0-14 pp)。没有观察到百分比的变化之间的关联坚持和预印本分数,期刊影响因子,或期刊提交和接受之间的时间。2019冠状病毒病预测模型研究的预印本报告质量较差,在同行评议后没有多大改善,表明同行评议对疫情期间报告的完整性影响甚微。
To assess improvement in the completeness of reporting coronavirus (COVID-19) prediction models after the peer review process. Studies included in a living systematic review of COVID-19 prediction models, with both preprint and peer-reviewed published versions available, were assessed. The primary outcome was the change in percentage adherence to the transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD) reporting guidelines between pre-print and published manuscripts. Nineteen studies were identified including seven (37%) model development studies, two external validations of existing models (11%), and 10 (53%) papers reporting on both development and external validation of the same model. Median percentage adherence among preprint versions was 33% (min-max: 10 to 68%). The percentage adherence of TRIPOD components increased from preprint to publication in 11/19 studies (58%), with adherence unchanged in the remaining eight studies. The median change in adherence was just 3 percentage points (pp, min-max: 0-14 pp) across all studies. No association was observed between the change in percentage adherence and preprint score, journal impact factor, or time between journal submission and acceptance. The preprint reporting quality of COVID-19 prediction modeling studies is poor and did not improve much after peer review, suggesting peer review had a trivial effect on the completeness of reporting during the pandemic.
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