Evidence map›Paper›PMID 31711480›Full record

ArticleBMC medicine2019

Representation of people with comorbidity and multimorbidity in clinical trials of novel drug therapies: an individual-level participant data analysis.

Peter Hanlon, Laurie Hannigan, Jesus Rodriguez-Perez, Colin Fischbacher, Nicky J Welton, Sofia Dias, Frances S Mair, Bruce Guthrie, Sarah Wild, David A McAllister

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 9 pooled it
6.5field-weighted citation impact, top 3% of its field
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

55 citing papers in PubMed, 9 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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  4. A systematic review and meta-analysis of the effect of intravitreal VEGF inhibitors on cardiorenal outcomes.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
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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

10 authors at 4 institutions in 1 country.

Peter HanlonInstitute for Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.ORCID 0000-0002-5828-3934
Laurie HanniganInstitute for Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
Jesus Rodriguez-PerezInstitute for Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
Colin FischbacherInformation Services Division, NHS Scotland, Edinburgh, UK.
Nicky J WeltonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sofia DiasPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Frances S MairInstitute for Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK.
Bruce GuthrieUsher Institute for Population Health Sciences, University of Edinburgh, Edinburgh, UK.
Sarah WildUsher Institute for Population Health Sciences, University of Edinburgh, Edinburgh, UK.
David A McAllisterInstitute for Health and Wellbeing, University of Glasgow, 1 Lilybank Gardens, Glasgow, G12 8RZ, UK. David.McAllister@glasgow.ac.uk.
University of Glasgow · GBUniversity of Bristol · GBUniversity of Edinburgh · GBNational Health Service Scotland · GB

Funding

Medical Research Council MR/K025643/1Medical Research Council MR/P015298/1Medical Research Council MR/S021949/1Wellcome Trust 201492-Z-16-ZWellcome Trust 201492/Z/16/Z
6 · The paper itself

Abstract

backgroundClinicians are less likely to prescribe guideline-recommended treatments to people with multimorbidity than to people with a single condition. Doubts as to the applicability of clinical trials of drug treatments (the gold standard for evidence-based medicine) when people have co-existing diseases (comorbidity) may underlie this apparent reluctance. Therefore, for a range of index conditions, we measured the comorbidity among participants in clinical trials of novel drug therapies and compared this to the comorbidity among patients in the community.

methodsData from industry-sponsored phase 3/4 multicentre trials of novel drug therapies for chronic medical conditions were identified from two repositories: Clinical Study Data Request and the Yale University Open Data Access project. We identified 116 trials (n = 122,969 participants) for 22 index conditions. Community patients were identified from a nationally representative sample of 2.3 million patients in Wales, UK. Twenty-one comorbidities were identified from medication use based on pre-specified definitions. We assessed the prevalence of each comorbidity and the total number of comorbidities (level of multimorbidity), for each trial and in community patients.

resultsIn the trials, the commonest comorbidities in order of declining prevalence were chronic pain, cardiovascular disease, arthritis, affective disorders, acid-related disorders, asthma/COPD and diabetes. These conditions were also common in community-based patients. Mean comorbidity count for trial participants was approximately half that seen in community-based patients. Nonetheless, a substantial proportion of trial participants had a high degree of multimorbidity. For example, in asthma and psoriasis trials, 10-15% of participants had ≥ 3 conditions overall, while in osteoporosis and chronic obstructive pulmonary disease trials 40-60% of participants had ≥ 3 conditions overall.

conclusionsComorbidity and multimorbidity are less common in trials than in community populations with the same index condition. Comorbidity and multimorbidity are, nevertheless, common in trials. This suggests that standard, industry-funded clinical trials are an underused resource for investigating treatment effects in people with comorbidity and multimorbidity.

Indexed as

Clinical Trials as TopicComorbidityDrug TherapyMultimorbidityCross-Sectional StudiesData AnalysisHumansMulticenter Studies as TopicComorbidityMultimorbidityRandomised controlled trials

Identifiers

PMID31711480
PMCPMC6849229
OpenAlexW2984880947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.