Evidence map›Paper›PMID 32102686›Full record

SynthesisTrials2020

Exclusion rates in randomized controlled trials of treatments for physical conditions: a systematic review.

Jinzhang He, Daniel R Morales, Bruce Guthrie

Abstract readSystematic Review
In one paragraph

Synthesis in Trials, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 9 pooled it
–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

77 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mapping Comorbidities in Patients With Low Back Pain-A Systematic Review.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2025
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17 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Jinzhang HeNinewells Hospital and Medical School, University of Dundee, James Arrott Drive, Dundee, DD2 1SY, Scotland.
Daniel R MoralesPopulation Health and Genomics Division, University of Dundee, Mackenzie Building, Kirsty Semple Way, Dundee, DD2 4BF, Scotland.
Bruce GuthrieCentre for Population Health Sciences, University of Edinburgh, Doorway 3 Old Medical School, Teviot Place, Edinburgh, EH8 9AG, Scotland. bruce.guthrie@ed.ac.uk.ORCID http://orcid.org/0000-0003-4191-4880

Funding

Department of Health 11/2003/27Health Services and Delivery Research Programme NIHR HS&DR 11/2003/27Medical Research Scotland Vac-965-2016
6 · The paper itself

Abstract

backgroundThe generalisability of randomized controlled trials (RCTs) can be uncertain because the impact of exclusion criteria is rarely quantified. The aim of this study was to systematically review studies examining the percentage of clinical populations with a physical health condition who would be excluded by RCTs of treatments for that condition.

methodsMedline and Embase were searched from inception to Feb 11th 2018. Two reviewers independently completed screening, full-text review, data extraction and risk-of-bias assessment. The primary outcome was the percentage of patients in the clinical population who would have been excluded from each examined trial. Subgroup analyses examined exclusion by population setting, publication date and funding source.

resultsTitles/abstracts (20,754) were screened, and 50 studies were included which reported exclusion rates from 305 trials of treatments in 31 physical conditions. Estimated rates of exclusion from trials varied from 0% to 100%, and the median exclusion rate was 77.1% of patients (interquartile range 55.5% to 89.0% exclusion). Median exclusion rates for trials in common chronic conditions were high, including hypertension 83.0%, type 2 diabetes 81.7%, chronic obstructive pulmonary disease 84.3%, and asthma 96.0%. The most commonly applied exclusion criteria related to age, co-morbidity and co-prescribing, whereas more implicit criteria relating to life expectancy or functional status were not typically examined. There was no evidence that exclusion varied by the nature of the clinical population in which exclusion was evaluated or trial funding source. There was no statistically significant change in exclusion rates in more recent compared with older trials.

conclusionsThe majority of trials of treatments for physical conditions examined excluded the majority of patients with the condition being treated. Almost a quarter of the trials studied excluded over 90% of patients, more than half of trials excluded at least three quarters of patients, and four out of five trials excluded at least half of patients. A limitation is that most studies applied only a subset of eligibility criteria, so exclusion rates are likely under-estimated. Exclusion from trials of older people and people with co-morbidity and co-prescribing is increasingly untenable given population aging and increasing multimorbidity.

trial registrationPROSPERO registration CRD42016042282.

Indexed as

Patient SelectionBiasHumansMorbidityRandomized Controlled Trials as TopicAged [M01.060.116.100]External validityGeneralizabilityMultimorbidity [N05.715.350.225.500]Randomized controlled trial [V03.175.250.500.500]Real-world evidenceSystematic review [V03.850]

Identifiers

PMID32102686
PMCPMC7045589

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.