2022
DOI: 10.1101/2022.09.01.22279485
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COVID-19 individual participant data meta-analyses. Can there be too many? Results from a rapid systematic review

Abstract: Background Individual participant data meta-analyses (IPD-MAs), which include harmonising and analysing participant-level data from related studies, provide several advantages over aggregate data meta-analyses, which pool study-level findings. IPD-MAs are especially important for building and evaluating diagnostic and prognostic models, making them an important tool for informing the research and public health responses to COVID-19. Methods We conducted a rapid systematic review of protocols and publications … Show more

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Cited by 1 publication
(2 citation statements)
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“…The toolkit templates are available for download on OSF and Google Drive. 12,13 The toolkit was developed and refined through our work with the DEPRESSD, 14 Zika Virus Individual Participant Data, 15 and ReCoDID Consortia. 16 The toolkit includes templates for common project management, data checking, and harmonizationrelated tasks, including a budget template, SOPs, and email templates to facilitate communication with data contributing groups.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The toolkit templates are available for download on OSF and Google Drive. 12,13 The toolkit was developed and refined through our work with the DEPRESSD, 14 Zika Virus Individual Participant Data, 15 and ReCoDID Consortia. 16 The toolkit includes templates for common project management, data checking, and harmonizationrelated tasks, including a budget template, SOPs, and email templates to facilitate communication with data contributing groups.…”
Section: Introductionmentioning
confidence: 99%
“…This publication presents an illustrative toolkit to support key aspects of IPD‐MAs in any field and for any outcome including planning, budgeting, and conducting data harmonization. The toolkit templates are available for download on OSF and Google Drive 12,13 . The toolkit was developed and refined through our work with the DEPRESSD, 14 Zika Virus Individual Participant Data, 15 and ReCoDID Consortia 16 .…”
Section: Introductionmentioning
confidence: 99%