Evidence map›Paper›PMID 40608574›Full record

SynthesisRevista brasileira de epidemiologia = Brazilian journal of epidemiology2025

Prevalence of bias attributable to composite outcome in clinical trials published in 2019-2020: a systematic review.

José Mário Nunes da Silva, Juliana Ferreira Souza Conceição, Paula Camila Ramírez, Christian Leonardo Diaz-León, Fredi Alexander Diaz-Quijano

Abstract readSystematic Review
In one paragraph

Synthesis in Revista brasileira de epidemiologia = Brazilian journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

José Mário Nunes da SilvaUniversidade de São Paulo, School of Public Health, Graduate Program in Epidemiology - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-6674-0939
Juliana Ferreira Souza ConceiçãoUniversidade de São Paulo, School of Public Health - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0001-7331-1238
Paula Camila RamírezUniversidad Industrial de Santander, School of Physical Therapy - Santander, Bucaramanga, Colombia.ORCID http://orcid.org/0000-0002-3534-794X
Christian Leonardo Diaz-LeónOrganización Latinoamericana para el Fomento de la Investigación en Salud - Santander, Bucaramanga, Colombia.ORCID http://orcid.org/0000-0001-6168-3165
Fredi Alexander Diaz-QuijanoUniversidade de São Paulo, School of Public Health, Department of Epidemiology, Laboratório de Inferência Causal em Epidemiologia - São Paulo (SP), Brazil.ORCID http://orcid.org/0000-0002-1134-1930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to investigate the prevalence of bias attributable to composite outcome (BACO) in clinical trials.

methodsWe searched PubMed for randomized clinical trials where the primary outcome was a binary composite that included all-cause mortality among its components from January 1, 2019, to December 31, 2020. For each trial, the BACO index was calculated to assess the correspondence between effects on the composite outcome and mortality. This systematic review was registered in PROSPERO (CRD42021229554).

resultsAfter screening 1,076 citations and 171 full-text articles, 91 studies were included from 13 different medical areas. The prevalence of significant or suggestive BACO among the 91 included articles was 25.2% (n=23), including 12 with p<0.005 and 11 with p between 0.005 and <0.05. We observed that in 17 (73.9%) of these 23 studies, the BACO index value was between 0 and <1, indicating an underestimation of the effect. The other six studies showed negative values (26.1%), indicating an inversion of the association with mortality. None of the studies showed significant overestimation of the association attributable to the composite outcome.

conclusionThese findings highlight the need to predefine guidelines for interpreting effects on composite endpoints based on objective criteria such as the BACO index.

Indexed as

Randomized Controlled Trials as TopicBiasHumansPrevalence

Identifiers

PMID40608574
PMCPMC12204237

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.