Evidence mapPaperPMID 41014159Full record

ReviewThe oncologist2025

Characteristics of clinical trials associated with appeal and return on investment to participants: a review and framework.

Maria J Fernandez Turizo, Maria A Velez, Beth Glenn, Amy L Cummings, Barbara Segarra-Vazquez, Sarah Gorbatov, Seung J Park, Collin Shen, Jackson P Lind-Lebuffe, Joseph M Unger and 1 more

Abstract readReview
In one paragraph

Review in The oncologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Maria J Fernandez TurizoDepartment of Medicine, Beth Israel Deaconess Medical Center , Deaconess Building, Suite 306, One Deaconess Road, MA 02215, United States.
Maria A VelezDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.ORCID 0000-0001-5197-4719
Beth GlennDepartment of Health Policy and Management in the UCLA Fielding School of Public Health, University of California, Los Angeles, 31-269 Center for Health Sciences, Los Angeles, CA 90095, United States.
Amy L CummingsDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.ORCID 0000-0003-0472-392X
Barbara Segarra-VazquezDepartment of Graduate Programs, School of Health Professions, Medical Sciences Campus, University of Puerto Rico, San Juan, Puerto Rico 00921, United States.
Sarah GorbatovDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.
Seung J ParkDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.
Collin ShenDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.
Jackson P Lind-LebuffeDepartment of Medicine, Division of Hematology and Oncology, University of California Los Angeles, 2020 Santa Monica, Suite 600, Santa Monica, CA 90404, United States.
Joseph M UngerFred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, United States.
Edward B GaronFred Hutchinson Cancer Center, 1100 Fairview Ave N, Seattle, WA 98109, United States.ORCID 0000-0001-7077-8801

Funding

HLA B44 motif neoepitopes in NSCLC: Evaluating their effects on the TME and adding them to established markers in a model to predict durable benefit from PD- 1 inhibition with and without chemotherapyR01CA276917 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI EDWARD B GARON · 2023 to 2026
$2.9M
NCI NIH HHS R01 CA276917
6 · The paper itself

Abstract

Despite decades of investment in clinical research infrastructure, patient participation in clinical trials remains strikingly low. In the United States, fewer than 1 in 10 adults report ever being invited to participate in a clinical trial, and among those, less than half ultimately enroll. In oncology, across all adult cancer patients, only about 8% enroll in a clinical trial, regardless of eligibility or trial availability. Active engagement of their patients in cancer clinical trials substantially enhances scientific knowledge, and patient participation is required to obtain approval for novel therapeutics. Analyses focusing on evaluating whether clinical trial participation improves survival for participants have yielded conflicting results. Yet, there is limited data or metrics to assess the specific attributes of oncology trials that hold greater appeal or return on investment to participants, limiting researchers' ability to determine if these factors vary across different populations. Our group demonstrated that patients with limited English proficiency were unlikely to participate in studies not sponsored by industry as compared to industry-sponsored studies. If trial participation for specific populations can differ by sponsor type, it could also differ by the trial's appeal or return on investment. While the underrepresentation of racial and ethnic minority groups in trials is attributed to multiple factors, it is possible that patients from these groups are less likely to be offered participation in studies with higher appeal or return on investment, due to systemic biases, disparities in recruitment practices, and/or lack of access. In this manuscript, we propose a systematic framework for evaluating attributes of interventional oncology clinical trials, with an emphasis on the study's purpose, experimental design, and investigational agent. This framework aims to pinpoint characteristics that may enhance trials' appeal or return on investment to participants and could lay a foundation for future research. This will allow investigators to assess the return on investment of appeal of studies offered across different patient populations.

Indexed as

Clinical Trials as TopicNeoplasmsPatient ParticipationHumansPatient SelectionUnited Statesclinical trial designoncology clinical trialsReturn on Investment

Identifiers

PMID41014159
PMCPMC12578512

What Socratic 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 Socratic graph.