Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis

Therapeutic efficacy in COVID-19 is dependent upon disease severity (treatment effect heterogeneity). Unfortunately, definitions of severity vary widely. This compromises the meta-analysis of randomised controlled trials (RCTs) and the therapeutic guidelines derived from them. The World Health Organ...

全面介绍

书目详细资料
Main Authors: Guérin, PJ, McLean, ARD, Rashan, S, Lawal, A, Watson, JA, Strub-Wourgaft, N, White, NJ
格式: Journal article
语言:English
出版: Public Library of Science 2022
_version_ 1826311778360885248
author Guérin, PJ
McLean, ARD
Rashan, S
Lawal, A
Watson, JA
Strub-Wourgaft, N
White, NJ
author_facet Guérin, PJ
McLean, ARD
Rashan, S
Lawal, A
Watson, JA
Strub-Wourgaft, N
White, NJ
author_sort Guérin, PJ
collection OXFORD
description Therapeutic efficacy in COVID-19 is dependent upon disease severity (treatment effect heterogeneity). Unfortunately, definitions of severity vary widely. This compromises the meta-analysis of randomised controlled trials (RCTs) and the therapeutic guidelines derived from them. The World Health Organisation ‘living’ guidelines for the treatment of COVID-19 are based on a network meta-analysis (NMA) of published RCTs. We reviewed the 81 studies included in the WHO COVID-19 living NMA and compared their severity classifications with the severity classifications employed by the international COVID-NMA initiative. The two were concordant in only 35% (24/68) of trials. Of the RCTs evaluated, 69% (55/77) were considered by the WHO group to include patients with a range of severities (12 mild-moderate; 3 mild-severe; 18 mild-critical; 5 moderate-severe; 8 moderate-critical; 10 severe-critical), but the distribution of disease severities within these groups usually could not be determined, and data on the duration of illness and/or oxygen saturation values were often missing. Where severity classifications were clear there was substantial overlap in mortality across trials in different severity strata. This imprecision in severity assessment compromises the validity of some therapeutic recommendations; notably extrapolation of “lack of therapeutic benefit” shown in hospitalised severely ill patients on respiratory support to ambulant mildly ill patients is not warranted. Both harmonised unambiguous definitions of severity and individual patient data (IPD) meta-analyses are needed to guide and improve therapeutic recommendations in COVID-19. Achieving this goal will require improved coordination of the main stakeholders developing treatment guidelines and medicine regulatory agencies. Open science, including prompt data sharing, should become the standard to allow IPD meta-analyses.
first_indexed 2024-03-07T08:14:46Z
format Journal article
id oxford-uuid:d9f75bb8-f43b-41fc-9960-9c76a4cbaab9
institution University of Oxford
language English
last_indexed 2024-03-07T08:14:46Z
publishDate 2022
publisher Public Library of Science
record_format dspace
spelling oxford-uuid:d9f75bb8-f43b-41fc-9960-9c76a4cbaab92023-12-15T10:21:01ZDefinitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:d9f75bb8-f43b-41fc-9960-9c76a4cbaab9EnglishSymplectic ElementsPublic Library of Science2022Guérin, PJMcLean, ARDRashan, SLawal, AWatson, JAStrub-Wourgaft, NWhite, NJTherapeutic efficacy in COVID-19 is dependent upon disease severity (treatment effect heterogeneity). Unfortunately, definitions of severity vary widely. This compromises the meta-analysis of randomised controlled trials (RCTs) and the therapeutic guidelines derived from them. The World Health Organisation ‘living’ guidelines for the treatment of COVID-19 are based on a network meta-analysis (NMA) of published RCTs. We reviewed the 81 studies included in the WHO COVID-19 living NMA and compared their severity classifications with the severity classifications employed by the international COVID-NMA initiative. The two were concordant in only 35% (24/68) of trials. Of the RCTs evaluated, 69% (55/77) were considered by the WHO group to include patients with a range of severities (12 mild-moderate; 3 mild-severe; 18 mild-critical; 5 moderate-severe; 8 moderate-critical; 10 severe-critical), but the distribution of disease severities within these groups usually could not be determined, and data on the duration of illness and/or oxygen saturation values were often missing. Where severity classifications were clear there was substantial overlap in mortality across trials in different severity strata. This imprecision in severity assessment compromises the validity of some therapeutic recommendations; notably extrapolation of “lack of therapeutic benefit” shown in hospitalised severely ill patients on respiratory support to ambulant mildly ill patients is not warranted. Both harmonised unambiguous definitions of severity and individual patient data (IPD) meta-analyses are needed to guide and improve therapeutic recommendations in COVID-19. Achieving this goal will require improved coordination of the main stakeholders developing treatment guidelines and medicine regulatory agencies. Open science, including prompt data sharing, should become the standard to allow IPD meta-analyses.
spellingShingle Guérin, PJ
McLean, ARD
Rashan, S
Lawal, A
Watson, JA
Strub-Wourgaft, N
White, NJ
Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title_full Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title_fullStr Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title_full_unstemmed Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title_short Definitions matter: heterogeneity of COVID-19 disease severity criteria and incomplete reporting compromise meta-analysis
title_sort definitions matter heterogeneity of covid 19 disease severity criteria and incomplete reporting compromise meta analysis
work_keys_str_mv AT guerinpj definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT mcleanard definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT rashans definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT lawala definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT watsonja definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT strubwourgaftn definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis
AT whitenj definitionsmatterheterogeneityofcovid19diseaseseveritycriteriaandincompletereportingcompromisemetaanalysis