Validation of prognostic models predicting mortality or ICU admission in patients with COVID-19 in low- and middle-income countries: a global individual participant data meta-analysis
Among the available COVID-19 prognostic models, only a few could be validated on data collected from LMICs, mainly due to limited predictor availability. Despite their discriminative ability, selected models for mortality prediction or ICU admission showed varying and suboptimal calibration.
Authors
- Janet Dı́az (ORCID: https://orcid.org/0000-0002-8753-531X)
- Banafsheh Arshi (ORCID: https://orcid.org/0000-0003-0223-7872)
- Ronaldo Silva (ORCID: https://orcid.org/0000-0002-2852-2287)
- Johanna AAG Damen (ORCID: https://orcid.org/0000-0001-7401-4593)
- Maarten van Smeden (ORCID: https://orcid.org/0000-0002-5529-1541)
- Laure Wynants (ORCID: https://orcid.org/0000-0002-3037-122X)
- Silvia Bertagnolio (ORCID: https://orcid.org/0000-0001-8416-2581)
- Karel G. M. Moons (ORCID: https://orcid.org/0009-0004-7797-1056)
- Soe Soe Thwin
Institutions
- Utrecht University (NL)
- University Medical Center Utrecht (NL)
- Maastricht University (NL)
- World Health Organization (CH)
- KU Leuven (BE)
Publication Details
- Journal
- Diagnostic and Prognostic Research
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1186/s41512-024-00181-5
- Citations
- 3
- Primary Topic
- COVID-19 Clinical Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.17
Funders
- World Health Organization