Evidence map›Paper›PMID 40384757›Full record

ArticleJournal of clinical and translational science2025

Characterization of terminated and withdrawn clinical trials for the treatment and prevention of oral mucositis.

Alex Reznik, Stephen Sonis, Alessandro Villa

Abstract read
In one paragraph

Article in Journal of clinical and translational science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

Alex ReznikMedical Scientist Training Program, University of Miami Miller School of Medicine, Miami, FL, USA.ORCID https://orcid.org/0000-0001-8993-8617
Stephen SonisDepartment of Oral Medicine, Infection and Immunity, Harvard School of Dental Medicine, Boston, MA, USA.
Alessandro VillaOral Medicine, Oral Oncology, and Dentistry, Miami Cancer Institute, Baptist Health South Florida, Miami, FL, USA.

Funding

Medical Scientist Training ProgramT32GM145462 · NIGMS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ALESSIA FORNONI, Daniel Jon Liebl · 2022 to 2026
$3.9M
NIGMS NIH HHS T32 GM145462
6 · The paper itself

Abstract

Purpose: Oral mucositis (OM) is a significant complication of cytotoxic cancer therapy and has no effective therapies. Unfortunately, the termination rate of clinical trials (CTs) testing potential OM interventions remains high. Here, we compared the characteristics of failed trials and matched completed trials to identify common features, which might inform better study design. Methods: CTs for the prevention/treatment of OM were identified using Results: Failed OM CTs were more likely to have academic sponsorship (45.7% vs. 39.1%), nonrandomized design (19.6% vs. 4.3%), and lower mean subject accrual (27.8 subjects vs. 101.4 subjects) compared to completed trials. The leading reason for termination was recruitment/enrollment (37.9%). Recruitment/enrollment and safety/efficacy accounted for failure in 84.6% of phase II trials. Conclusion: Contrary to general CTs where safety/efficacy concerns predominate, our results suggest OM-related trial failures are associated with a broader list of challenges including recruitment/enrollment, funding/sponsorship, and investigator/site issues. OM CTs demand aggressive planning, funding, and careful selection of trial sites and sponsorship to assure timely subject recruitment and reduce the risk for early termination and withdrawal.

Indexed as

drug developmentfailed clinical trialsOral mucositisradiation therapysupportive care

Identifiers

PMID40384757
PMCPMC12083202

What OpenQuestion 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 OpenQuestion graph.