The reporting completeness and transparency of systematic reviews of prognostic prediction models for COVID-19 was poor: a methodological overview of systematic reviews

Ref ID 1067
First Author P. Talimtzi
Journal JOURNAL OF CLINICAL EPIDEMIOLOGY
Year Of Publishing 2024
URL https://www-sciencedirect-com.sheffield.idm.oclc.org/science/article/pii/S0895435624000192?via%3Dihub
Keywords • COVID
• Risk of bias
• Low reporting quality
Problem(s) • Lack of prespecification in eligibility criteria
• High risk of bias (ROBIS)
• Low reporting or methodological quality (OTHER GUIDANCE)
• No registered or published protocol
Article Type Empirical
Article Subtype Cross-sectional survey/Methodological systematic review
First Author Country Greece
Checklists • ROBIS
Aim To evaluate the reporting completeness and transparency of systematic reviews (SRs) of prognostic prediction models (PPMs) for COVID-19 indexed across MEDLINE, Scopus, Cochrane Database of Systematic Reviews, and Epistemonikos (epistemonikos.org) up to December 31, 2022.
Level of Investigation Descriptive
Summary of Findings From ten systematic reviews (SRs) of prognostic prediction models (PPMs) for COVID-19 indexed across MEDLINE, Scopus, Cochrane Database of Systematic Reviews, and Epistemonikos (epistemonikos.org) up to December 31, 2022. There were 10 included SRs with a total of 507 distinct PPMs. Only a third of the PPMs were externally validated (186/507 = 36.7%) and most (n = 272, 53.6%) were used to predict mortality. The reporting assessments showed that most of the studies did not have a predefined protocol (7/10, 70.0%) and most had missing information on study selection, the data collection process, and reporting of primary studies and models included, while only one SR had its data publicly available. In addition, for the majority of the SRs (8/10, 80%), the overall risk of bias was judged as being high.
Number of systematic reviews included 10
Number of eligible systematic reviews assessed 849
Treatment impacted Not Applicable
Treatment impacted description
Interpretation impacted Not Applicable
Interpretation impacted description