Evidence map›Paper›PMID 30856272›Full record

SynthesisJournal of the National Cancer Institute2019

Systematic Review and Meta-Analysis of the Magnitude of Structural, Clinical, and Physician and Patient Barriers to Cancer Clinical Trial Participation.

Joseph M Unger, Riha Vaidya, Dawn L Hershman, Lori M Minasian, Mark E Fleury

Registry-linked trialAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05885880 (Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment), which is not on this map. Cited by 353 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
353citing papers in PubMed, 6 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.

NCT05885880 naenrolling by invitationnot on this mapstarted 2023, after this paper: background citation

Evaluating the Effectiveness of Blue-Button Automated Clinical Trial Prescreening on Regional Enrollment: a Randomized Trial

TypeinterventionalSponsorAmerican Cancer Society Cancer Action NetworkRan2023 to 2026Enrolled1,050ConditionsCancerArmsBlue-button screening
3 · Its place in the literature

Who cites it

353 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  5. Pooled it
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  7. Trial
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  10. Improving cancer clinical trial enrollment and patient understanding using TrialTalk, a structured communication method: a pilot randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  11. Trial
  12. Trial
  13. Trial
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  15. Methylphenidate Versus Placebo for Treating Fatigue in Patients With Advanced Cancer: Randomized, Double-Blind, Multicenter, Placebo-Controlled Trial.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Trial
  16. Article
  17. Article
  18. Nutritional Risk and Unmet Nutritional Need in Ambulatory Patients Undergoing Systemic Anti-Cancer Therapies.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026
    Observational
  19. Review
  20. Article

293 more citing papers are in PubMed but not listed here.

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.

Joseph M UngerFred Hutchinson Cancer Research Center, Seattle, WA.
Riha VaidyaFred Hutchinson Cancer Research Center, Seattle, WA.
Dawn L HershmanColumbia University Medical Center, New York, NY.
Lori M MinasianNational Cancer Institute, Division of Cancer Prevention, Rockville, MD.
Mark E FleuryAmerican Cancer Society Cancer Action Network Inc., Washington, DC.

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

backgroundBarriers to cancer clinical trial participation have been the subject of frequent study, but the rate of trial participation has not changed substantially over time. Studies often emphasize patient-related barriers, but other types of barriers may have greater impact on trial participation. Our goal was to examine the magnitude of different domains of trial barriers by synthesizing prior research.

methodsWe conducted a systematic review and meta-analysis of studies that examined the trial decision-making pathway using a uniform framework to characterize and quantify structural (trial availability), clinical (eligibility), and patient/physician barrier domains. The systematic review utilized the PubMed, Google Scholar, Web of Science, and Ovid Medline search engines. We used random effects to estimate rates of different domains across studies, adjusting for academic vs community care settings.

resultsWe identified 13 studies (nine in academic and four in community settings) with 8883 patients. A trial was unavailable for patients at their institution 55.6% of the time (95% confidence interval [CI] = 43.7% to 67.3%). Further, 21.5% (95% CI = 10.9% to 34.6%) of patients were ineligible for an available trial, 14.8% (95% CI = 9.0% to 21.7%) did not enroll, and 8.1% (95% CI = 6.3% to 10.0%) enrolled. Rates of trial enrollment in academic (15.9% [95% CI = 13.8% to 18.2%]) vs community (7.0% [95% CI = 5.1% to 9.1%]) settings differed, but not rates of trial unavailability, ineligibility, or non-enrollment.

conclusionsThese findings emphasize the enormous need to address structural and clinical barriers to trial participation, which combined make trial participation unachievable for more than three of four cancer patients.

Indexed as

Decision MakingPatient SelectionClinical Trials as TopicEligibility DeterminationHumansNeoplasmsPatient Acceptance of Health CarePatient ParticipationPhysician-Patient RelationsPhysicians

Identifiers

PMID30856272
PMCPMC6410951

What OpenQuestion holds

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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.