Evidence map›Paper›PMID 41105911›Full record

ArticleJCO clinical cancer informatics2025

Development and Validation of a Simulation Model-Based Tool to Support Individualized Physical Activity Discussions and Prescriptions for Breast Cancer Survivors.

Jinani C Jayasekera, Oliver W A Wilson, Clyde Schechter, Jennifer L Caswell Jin, Kaitlyn M Wojcik, Nicolien T van Ravesteyn, Jonathan Wall, Jacob Schneider, Lia L D'Addario, Janise M Roh and 6 more

Abstract readValidation Study
In one paragraph

Article in JCO clinical cancer informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Breast cancer survivors' perspectives on a clinical decision tool to support individualized exercise prescriptions and discussions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
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

16 authors.

Jinani C JayasekeraIntramural Research Program at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD.ORCID 0000-0001-9212-7225
Oliver W A WilsonIntramural Research Program at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD.ORCID 0000-0002-0174-3813
Clyde SchechterDepartment of Family and Social Medicine at Albert Einstein College of Medicine, Bronx, NY.ORCID 0000-0003-0010-2827
Jennifer L Caswell JinDepartment of Medicine, Stanford University School of Medicine, Stanford, CA.ORCID 0000-0002-5711-8355
Kaitlyn M WojcikIntramural Research Program at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD.ORCID 0009-0004-7290-6343
Nicolien T van RavesteynErasmus MC, University Medical Center Rotterdam, the Netherlands.
Jonathan WallPeople Designs, Inc., Durham, NC.
Jacob SchneiderIntramural Research Program at the National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD.ORCID 0009-0009-6707-8674
Lia L D'AddarioDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA.ORCID 0000-0001-7753-4041
Janise M RohDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA.ORCID 0000-0002-8615-4320
Swarnavo SarkarDepartment of Oncology, Georgetown University Medical Center, Washington, DC.ORCID 0000-0002-1830-3099
Lisa Cadmus-BertramUniversity of Wisconsin-Madison, Madison, WI.ORCID 0000-0003-4835-2817
John P PierceMoores Cancer Center, University of California, San Diego, CA.
Amy Trentham-DietzCarbone Cancer Center and Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.ORCID 0000-0002-5971-4660
Lawrence H KushiDivision of Research, Kaiser Permanente Northern California, Pleasanton, CA.ORCID 0000-0001-9136-1175
Charles E MatthewsDivision of Cancer Epidemiology and Genetics, Intramural Research Program at the National Cancer Institute, National Institutes of Health, Bethesda, MD.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
Prospective Study of Breast Cancer SurvivorshipR01CA105274 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI KUSHI, LAWRENCE H · 2004 to 2014
$19.9M
Infrastructure for Pathways, a Prospective Study of Breast Cancer SurvivorshipU01CA195565 · NCI · KAISER FOUNDATION RESEARCH INSTITUTE · PI AMBROSONE, CHRISTINE B., KUSHI, LAWRENCE H · 2016 to 2025
$18.8M
Comparative Modeling of Precision Breast Cancer Control Across the Translational Continuum - SupplementU01CA253911 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ALAGOZ, OGUZHAN, DE KONING, HARRY J · 2020 to 2025
$10.6M
Health Equity and Decision SciencesZIAMD000022 · NIMHD · NATIONAL INSTITUTE ON MINORITY HEALTH AND HEALTH DISPARITIES · PI JAYASEKERA, JINANI · 2023 to 2025
$962k
Intramural NIH HHS ZIA MD000022NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA105274NCI NIH HHS U01 CA195565NCI NIH HHS U01 CA253911
6 · The paper itself

Abstract

purposeClinical guidelines recommend offering individualized physical activity prescriptions to cancer survivors. However, there are limited tools to support individualized physical activity discussions and prescriptions. We developed and validated a simulation model-based tool to estimate individualized survival outcomes for postdiagnosis physical activity among postmenopausal breast cancer survivors.

methodsWe adapted an established simulation modeling approach developed within the Cancer Intervention and Surveillance Modeling Network to estimate breast cancer-specific and all-cause survival associated with postdiagnosis physical activity for 50- to 75-year-old (postmenopausal) women with stage I to III invasive breast cancer. Model estimates were generated for 60,480 subgroups based on age, weight status (BMI), stage, tumor subtype, treatment, aerobic (<30 min/wk [no/minimal], ≥30 to <150 min/wk [insufficient], ≥150 to <300 min/wk [active], ≥300 min/wk [highly active]), and muscle-strengthening (<2 or ≥2 d/wk) activity. The outcomes were 10-year survival and absolute survival benefits for different levels of physical activity by individual characteristics and treatment. Model inputs were derived from trials, cohort studies, registry, and surveillance data. External validation used independent data.

resultsSurvival rates and absolute benefits for physical activity varied by age, weight status, stage, tumor subtype, and amount and type of activity. For example, the 10-year breast cancer-specific and all-cause survival for no/minimal activity in a 65- to 69-year-old-woman with stage II, hormone receptor-positive, human epidermal growth factor receptor 2-negative breast cancer with obesity was 79.2% and 72.2%, respectively. Increasing aerobic activity from no/minimal to insufficient activity with <2 d/wk of muscle-strengthening was associated with absolute increases in 10-year breast cancer-specific and all-cause survival by 2.8 and 3.4 percentage points, respectively. The model closely replicated survival rates in independent data.

conclusionSimulation model-based estimates could support clinical tools for guideline-recommended individualized discussions and physical activity prescriptions for breast cancer survivors.

Indexed as

Breast NeoplasmsCancer SurvivorsExerciseAgedComputer SimulationFemaleHumansMiddle Aged

Identifiers

PMID41105911
PMCPMC12543000

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.