Evidence map›Paper›PMID 39989045›Full record

ArticleJournal of the National Cancer Institute. Monographs2025

Challenges to and considerations of designing cancer prevention trials.

Danielle M Enserro, Heather J Gunn, Mohamed I Elsaid, Fenghai Duan, Stephanie L Pugh

Registry-linked trialAbstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07513259 (Pre-Diagnosis GLP-1 Receptor Agonist Use and Post-Cancer Mortality in Adults With Obesity and Type 2 Diabetes), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT07513259 completednot on this map

Pre-Diagnosis GLP-1 Receptor Agonist Use and Post-Cancer Mortality in Adults With Obesity and Type 2 Diabetes: A Target Trial Emulation

TypeobservationalSponsorChung Shan Medical UniversityRan2018 to 2025Enrolled203,424ConditionsObesity & Overweight, Diabetes Mellitus Type 2, Neoplasms
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Danielle M EnserroNRG Oncology Statistics and Data Management Center, Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, United States.ORCID 0000-0003-2132-9967
Heather J GunnAlliance Statistics and Data Management Center, Mayo Clinic, Scottsdale, AZ, United States.
Mohamed I ElsaidDepartment of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, United States.
Fenghai DuanDepartment of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health, Providence, RI, United States.
Stephanie L PughNRG Oncology Statistics and Data Management Center, American College of Radiology, Philadelphia, PA, United States.

Funding

ECOG-ACRIN NCORP Research Base - TMISTUG1CA189828 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer, MITCHELL D. SCHNALL · 2014 to 2026
$199.7M
NRG Oncology NCORP Research Base-BIQSFPUG1CA189867 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI Deborah Watkins Bruner, Lisa A. Kachnic · 2014 to 2026
$140.5M
Collaborations and NCORP Collective ManagementUG1CA189823 · NCI · MAYO CLINIC ROCHESTER · PI Evanthia Galanis, Olwen Hahn · 2014 to 2026
$120.6M
Statistics CoreU10CA180794 · NCI · DANA-FARBER CANCER INST · PI PAUL J CATALANO, CONSTANTINE A. GATSONIS · 2014 to 2026
$111.2M
SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
URCC NCORP Research BaseUG1CA189961 · NCI · UNIVERSITY OF ROCHESTER · PI Michelle C Janelsins, KAREN M. MUSTIAN · 2014 to 2026
$67.7M
Towards a preventive cancer vaccine for children with constitutional mismatch repair deficiencyUG1CA189955 · NCI · PUBLIC HEALTH INSTITUTE · PI BRAD H POLLOCK, Michael E. Roth · 2014 to 2026
$62.5M
Wake Forest NCORP Research BaseUG1CA189824 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Emily Van Meter Dressler, GLENN J LESSER · 2014 to 2026
$57.9M
NCI NIH HHS U10 CA180794NCI NIH HHS UG1 CA189823NCI NIH HHS UG1 CA189824NCI NIH HHS UG1 CA189828NCI NIH HHS UG1 CA189867NCI NIH HHS UG1 CA189955NCI NIH HHS UG1 CA189961NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Prevention trials in oncology are some of the most important cancer clinical trials that can be designed, implemented, analyzed, and interpreted. They are pivotal in the goal of stopping the development of cancer before it starts. Prevention trials are unique in that they not only have some of the same requirements and challenges as treatment trials but also have challenges that may make their design more complex. This paper aims to discuss some types of prevention trials and highlight their most common design challenges, including large sample size requirements, slow accrual rates with long accrual duration, extended follow-up periods with trial adherence issues and missing data, endpoints that require extended follow-up or have a high level of confounding, and problems with optimizing study design. This article provides real study examples and suggestions for designing prevention clinical trials while mitigating the known issues they face.

Indexed as

Clinical Trials as TopicNeoplasmsResearch DesignHumansSample Size

Identifiers

PMID39989045
PMCPMC11848038

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.