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Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies


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Hufstedler, Heather ; Rahman, Sabahat ; Danzer, Alexander M. ; Goymann, Hannah ; de Jong, Valentijn M.T. ; Campbell, Harlan ; Gustafson, Paul ; Debray, Thomas P.A. ; Jaenisch, Thomas ; Maxwell, Lauren ; Matthay, Ellicott C. ; Bärninghausen, Till:
Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies.
In: Journal of clinical epidemiology. 145 (2022). - S. 29-38.
ISSN 0895-4356 ; 1878-5921


Open Access
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Among ID studies seeking to make causal inferences and pooling individual-level longitudinal data from multiple infectious disease cohorts, we sought to assess what methods are being used, how those methods are being reported, and whether these factors have changed over time.

Study Design and Setting
Systematic review of longitudinal observational infectious disease studies pooling individual-level patient data from 2+ studies published in English in 2009, 2014, or 2019. This systematic review protocol is registered with PROSPERO (CRD42020204104).

Our search yielded 1,462 unique articles. Of these, 16 were included in the final review. Our analysis showed a lack of causal inference methods and of clear reporting on methods and the required assumptions.

There are many approaches to causal inference which may help facilitate accurate inference in the presence of unmeasured and time-varying confounding. In observational ID studies leveraging pooled, longitudinal IPD, the absence of these causal inference methods and gaps in the reporting of key methodological considerations suggests there is ample opportunity to enhance the rigor and reporting of research in this field. Interdisciplinary collaborations between substantive and methodological experts would strengthen future work.

Weitere Angaben

Schlagwörter:Infectious disease; Methodological systematic review; Causal inference; Reporting; Individual participant data meta-analysis; Pooled data
Sprache des Eintrags:Englisch
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Volkswirtschaftslehre > VWL, insb. Mikroökonomik
DOI / URN / ID:10.1016/j.jclinepi.2022.01.008
Open Access: Freie Zugänglichkeit des Volltexts?:Ja
Die Zeitschrift ist nachgewiesen in:
Titel an der KU entstanden:Ja
Eingestellt am: 11. Apr 2022 11:29
Letzte Änderung: 12. Apr 2022 14:27
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