Evidence map›Paper›PMID 36207035›Full record

Trial reportBMJ open2022

What drives cancer clinical trial accrual? An empirical analysis of studies leading to FDA authorisation (2015-2020).

Kristina Jenei, Alyson Haslam, Timothée Olivier, Milos Miljkovíc, Vinay Prasad

Abstract readClinical Trial
In one paragraph

Trial report in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. AI for clinical trials in oncology.ESMO real world data and digital oncology · 2026
    Review
  2. Evaluating the impact of delayed study startup on accrual in cancer studies.Contemporary clinical trials communications · 2025
    Article
  3. Article
  4. Two-to-One Randomization: Rarely Advisable.JCO oncology practice · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Efficiency of Biomarker-Driven Clinical Trial Designs.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  10. Article
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.

Kristina JeneiSchool of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada kjenei@mail.ubc.ca.ORCID 0000-0002-3635-5212
Alyson HaslamDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-7876-3978
Timothée OlivierDepartment of Oncology, Geneva University Hospital, Geneva, Switzerland.
Milos MiljkovícCartesian Therapeutics, Gaithersburg, Maryland, USA.
Vinay PrasadDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine factors associated with accrual rate in industry sponsored clinical trials supporting US Food and Drug Administration (FDA) cancer drug approvals from 2015 to 2020. DESIGN, SETTING AND

participantsRetrospective cross-sectional study included 194 pivotal trials supporting cancer drug approvals by the US FDA from 2015 to 2020.

interventionsClinical trials were analysed for the type of blinding, primary endpoint, whether crossover was specified in the publication, study phase, line of therapy, response rate, investigational sites, manufacturer and randomisation ratio.

main outcome measuresThe main outcome was the rate of accrual, which is the number of patients accrued in the study per open month of enrolment.

resultsThe study consisted of 133 randomised (68%) and 61 (32%) non-randomised clinical trials. In randomised studies, we found the accrual rate was higher in trials investigating first and second line drugs (adjusted rate ratios (aRR): 1.55, 95% CI 1.18 to 2.09), phase III trials (aRR: 2.13, 95% CI 1.48 to 2.99), and for studies sponsored by Merck (aRR: 1.47, 95% CI 1.18 to 2.37), adjusting for other covariates. In contrast, the primary endpoint of a study, presence of crossover, single agent response rate, the number of investigational sites, population disease burden and skewed randomisation ratios were not associated with the rate of accrual. In the non-randomised adjusted model, the accrual rate was 2.03 higher (95% CI 1.10 to 3.92) for clinical trials sponsored by manufacturer, specifically Merck. Primary endpoint, crossover, trial phase, response rate, the number of investigational sites, disease burden or line of therapy were not associated with the rate of accrual.

conclusionIn this cross-sectional study, line of therapy, study phase and manufacturer were the only factors associated with accrual rate. These findings suggest many proffered factors for speedy trial accrual are not associated with greater enrolment rates.

Indexed as

NeoplasmsCross-Sectional StudiesDrug ApprovalHumansPatient SelectionRetrospective Studiesclinical trialshealth policyoncology

Identifiers

PMID36207035
PMCPMC9558788

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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.