Evidence map›Paper›PMID 41867507›Full record

ArticleBMJ connections. Oncology2025

Trends in design of FDA registrational randomized clinical trials in hematology and oncology: a 20-year cohort study.

Charles J Milrod, Aidan Petrovich, Wayne Liang, Elizabeth J Davis, Carolyn Petersen, Talal Hilal, Peter Yang, Jeremy L Warner, Samuel M Rubinstein

Abstract read
In one paragraph

Article in BMJ connections. Oncology, 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

9 authors.

Charles J MilrodDepartment of Medicine, Division of Hematology and Oncology, Brown University Health, Providence, Rhode Island.ORCID 0000-0002-2305-6299
Aidan PetrovichDepartment of Medicine, Northside Hospital, Lawrenceville, Georgia.
Wayne LiangDepartment of Artificial Intelligence & Informatics, Mayo Clinic, Rochester, Minnesota.
Elizabeth J DavisDepartment of Pediatrics, Division of Hematology and Oncology, University of Alabama-Birmingham, Birmingham, Alabama.
Carolyn PetersenDepartment of Medicine, Division of Oncology, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-2136-1273
Talal HilalDepartment of Hematology and Oncology, Mayo Clinic, Rochester, Minnesota.
Peter YangDivision of Hematology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Jeremy L WarnerDepartment of Medicine, Division of Hematology and Oncology, Brown University Health, Providence, Rhode Island.ORCID 0000-0002-2851-7242
Samuel M RubinsteinDepartment of Medicine, Division of Hematology and Oncology, UNC-Chapel Hill, Chapel Hill, North Carolina.

Funding

Enhancing the HemOnc Knowledgebase of Chemotherapy Drugs and RegimensU24CA265879 · NCI · RHODE ISLAND HOSPITAL · PI Jeremy L Warner · 2022 to 2026
$3.4M
NCI NIH HHS U24 CA265879
6 · The paper itself

Abstract

Introduction: Registrational trials are clinical trials which are used to justify regulatory approval of a new medication by the FDA. However, clinical trials may not be designed around patient-centered outcomes, like overall survival or quality of life. This disconnect raises concerns about whether current trial designs are truly aligned with the long-term needs and priorities of patients. A comprehensive analysis of trial designs and endpoints is necessary to ensure that future oncologic therapies deliver meaningful clinical improvements. Our objective was to describe types of clinical trial design and primary endpoints used for registrational trials, and their trends over time. Research Design and Methods: In this cohort study, the HemOnc database was used to identify registrational trials supporting cancer drug approval from 2004 through 2023.Clinical trial design (escalation, de-escalation, in-class switch, out-of-class switch) and primary endpoint (overall survival; time-to-event including progression free survival; response-based endpoint). Results: Escalation trial designs were more common than in-class switches or out-of-class switches. De-escalation and mixed designs were exceedingly rare. The most common primary endpoint was a composite time-to-event endpoint. Conclusion: Most clinical trials leading to FDA approval for cancer-directed therapies employ escalation designs with composite time-to-event endpoints. Designs reflecting paradigm shifts in therapy (in-class switches and out-of-class switches) are sparsely used. This approach raises the concern that trials may increase therapeutic toxicity without delivering meaningful improvements in overall survival or quality of life.

Indexed as

Clinical trialsdrug approvalsurrogate endpoints

Identifiers

PMID41867507
PMCPMC13003578

What OpenQuestion holds

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Registered trials

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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.