ArticleBMJ medicine2022
Effect of age, sex, and morbidity count on trial attrition: meta-analysis of individual participant level data from phase 3/4 industry funded clinical trials.
Article in BMJ medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 4 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
17 citing papers in PubMed, 4 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Pooled it
- Frailty in randomised controlled trials for dementia or mild cognitive impairment measured via the frailty index: prevalence and prediction of serious adverse events and attrition.Alzheimer's research & therapy · 2023Pooled it
- Treatment effect modification due to comorbidity: Individual participant data meta-analyses of 120 randomised controlled trials.PLoS medicine · 2023Pooled it
- Comorbidity and health-related quality of life in people with a chronic medical condition in randomised clinical trials: An individual participant data meta-analysis.PLoS medicine · 2023Pooled it
- Assessment of Muscle Function Decline and Cachexia-Related Biomarkers in Hospitalized Oncology Patients: Study Protocol.Biomedicines · 2026Article
- Preventing obesity-related cancer with the revolution in obesity management: the challenges of undertaking a clinical trial and potential solutions.British journal of cancer · 2026Review
- Sex and Gender Differences in Chronic Kidney Disease-Explained by the Brenner-Luyckx Concept of Hyperfiltration.Journal of clinical medicine · 2026Review
- Pediatric Participation in Biobanking Related to Inflammatory Bowel Diseases.Clinical pediatrics · 2025Article
- Regret in Clinical Trial Participation Among Cancer Patients.Journal of palliative medicine · 2025Article
- Cardiorenal effects of angiotensin-converting enzyme inhibitors and angiotensin receptor blockers among people underrepresented in trials: analysis of routinely collected data with emulation of a reference trial (ONTARGET).American journal of epidemiology · 2024Article
- Description of subgroup reporting in clinical trials of chronic diseases: a meta-epidemiological study.BMJ open · 2024Article
- Article
- Enhancing recruitment of individuals living with frailty, multimorbidity and cognitive impairment to Parkinson's research: experiences from the PRIME-UK cross-sectional study.Age and ageing · 2024Article
- Participant characteristics and exclusion from phase 3/4 industry funded trials of chronic medical conditions: meta-analysis of individual participant level data.BMJ medicine · 2024Article
- Sex and gender differences in the management of chronic kidney disease and hypertension.Journal of human hypertension · 2023Review
- Kidney Disease Patient Representation in Trials of Combination Therapy With VEGF-Signaling Pathway Inhibitors and Immune Checkpoint Inhibitors: A Systematic Review.Kidney medicine · 2023Article
- Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
Objectives: To estimate the association between individual participant characteristics and attrition from randomised controlled trials. Design: Meta-analysis of individual participant level data (IPD). Data sources: Clinical trial repositories (Clinical Study Data Request and Yale University Open Data Access). Eligibility criteria for selecting studies: Eligible phase 3 or 4 trials identified according to prespecified criteria (PROSPERO CRD42018048202). Main outcome measures: Association between comorbidity count (identified using medical history or concomitant drug treatment data) and trial attrition (failure for any reason to complete the final trial visit), estimated in logistic regression models and adjusted for age and sex. Estimates were meta-analysed in bayesian linear models, with partial pooling across index conditions and drug classes. Results: In 92 trials across 20 index conditions and 17 drug classes, the mean comorbidity count ranged from 0.3 to 2.7. Neither age nor sex was clearly associated with attrition (odds ratio 1.04, 95% credible interval 0.98 to 1.11; and 0.99, 0.93 to 1.05, respectively). However, comorbidity count was associated with trial attrition (odds ratio per additional comorbidity 1.11, 95% credible interval 1.07 to 1.14). No evidence of non-linearity (assessed via a second order polynomial) was seen in the association between comorbidity count and trial attrition, with minimal variation across drug classes and index conditions. At a trial level, an increase in participant comorbidity count has a minor impact on attrition: for a notional trial with high level of attrition in individuals without comorbidity, doubling the mean comorbidity count from 1 to 2 translates to an increase in trial attrition from 29% to 31%. Conclusions: Increased comorbidity count, irrespective of age and sex, is associated with a modest increased odds of participant attrition. The benefit of increased generalisability of including participants with multimorbidity seems likely to outweigh the disadvantages of increased attrition.
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What OpenQuestion holds
Registered trials
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.