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| Verfasst von: | Hufstedler, Heather [VerfasserIn]  |
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| | Mauer, Nicole [VerfasserIn] |
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| | Yeboah, Edmund [VerfasserIn] |
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| | Carr, Sinclair [VerfasserIn] |
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| | Rahman, Sabahat [VerfasserIn] |
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| | Danzer, Alexander M. [VerfasserIn] |
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| | Debray, Thomas P. A. [VerfasserIn] |
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| | de Jong, Valentijn M.T. [VerfasserIn] |
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| | Campbell, Harlan [VerfasserIn] |
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| | Gustafson, Paul [VerfasserIn] |
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| | Maxwell, Lauren [VerfasserIn] |
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| | Jänisch, Thomas [VerfasserIn] |
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| | Matthay, Ellicott C. [VerfasserIn] |
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| | Bärnighausen, Till [VerfasserIn] |
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| Titel: | Application of causal inference methods in individual-participant data meta-analyses in medicine |
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| Titelzusatz: | addressing data handling and reporting gaps with new proposed reporting guidelines |
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| Verf.angabe: | Heather Hufstedler, Nicole Mauer, Edmund Yeboah, Sinclair Carr, Sabahat Rahman, Alexander M. Danzer, Thomas P. A. Debray, Valentijn M.T. de Jong, Harlan Campbell, Paul Gustafson, Lauren Maxwell, Thomas Jaenisch, Ellicott C. Matthay nad Till Bärnighausen |
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| Jahr: | 2024 |
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| Umfang: | 12 S. |
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| Illustrationen: | 1 Illustration |
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| Fussnoten: | Online veröffentlicht: 19. April 2024 ; Gesehen am 30.10.2024 |
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| Titel Quelle: | Enthalten in: BMC medical research methodology |
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| Ort Quelle: | London : BioMed Central, 2001 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 24(2024), Artikel-ID 91, Seite [1]-12 |
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| ISSN Quelle: | 1471-2288 |
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| Abstract: | Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) conducted with non-randomized exposures, published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy. |
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| DOI: | doi:10.1186/s12874-024-02210-9 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1186/s12874-024-02210-9 |
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| | DOI: https://doi.org/10.1186/s12874-024-02210-9 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Causal inference |
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| | Cohort studies |
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| | Individual participant data |
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| | Longitudinal observational data |
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| | Meta-analysis |
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| | Pooling |
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| K10plus-PPN: | 1907180400 |
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| Verknüpfungen: | → Zeitschrift |
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Application of causal inference methods in individual-participant data meta-analyses in medicine / Hufstedler, Heather [VerfasserIn]; 2024 (Online-Ressource)
