Evidence map›Paper›PMID 39118050›Full record

ArticleBMC cancer2024

The population-level effects of omitting chemotherapy guided by a 21-gene expression assay in node-positive breast cancer: a simulation modeling study.

Kaitlyn M Wojcik, Jennifer L Caswell-Jin, Oliver W A Wilson, Clyde Schechter, Dalya Kamil, Allison W Kurian, Jinani Jayasekera

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Kaitlyn M WojcikHealth Equity and Decision Sciences Laboratory, National Institute on Minority Health and Health Disparities, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA.
Jennifer L Caswell-JinDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Oliver W A WilsonHealth Equity and Decision Sciences Laboratory, National Institute on Minority Health and Health Disparities, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA.
Clyde SchechterDepartment of Family & Social Medicine at Albert Einstein College of Medicine, Bronx, NY, USA.
Dalya KamilHealth Equity and Decision Sciences Laboratory, National Institute on Minority Health and Health Disparities, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA.
Allison W KurianDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Jinani JayasekeraHealth Equity and Decision Sciences Laboratory, National Institute on Minority Health and Health Disparities, Division of Intramural Research, National Institutes of Health, Bethesda, MD, USA. jinani.jayasekera@nih.gov.

Funding

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
NCI NIH HHS U01 CA253911NCI NIH HHS U01CA253911NIH/NIMHD MD000022
6 · The paper itself

Abstract

backgroundA recent trial showed that postmenopausal women diagnosed with hormone receptor-positive, human epidermal growth factor receptor-2 (HER2)-negative, lymph node-positive (1-3 nodes) breast cancer with a 21-gene recurrence score of ≤ 25 could safely omit chemotherapy. However, there are limited data on population-level long-term outcomes associated with omitting chemotherapy among diverse women seen in real-world practice.

methodsWe adapted an established, validated simulation model to generate the joint distributions of population-level characteristics of women diagnosed with early-stage breast cancer in the U.S. Input parameters were derived from cancer registry, meta-analyses, and clinical trial data. The effects of omitting chemotherapy on 10-year distant recurrence-free survival, life-years, and quality adjusted life-years (QALYs) were modeled for premenopausal and postmenopausal women. QALYs were discounted at 3%. Results were evaluated for subgroups stratified by race and ethnicity. Sensitivity analyses included testing results across a range of inputs. The model was validated using the published RxPONDER trial data.

resultsIn premenopausal women, the 10-year distant recurrence-free survival rates were 85.3% with chemo-endocrine and 80.1% with endocrine therapy. The estimated life-years and QALYs gained with chemotherapy in premenopausal women were 2.1 and 0.6, respectively. There was no chemotherapy benefit in postmenopausal women. There was no variation in the absolute benefit of chemotherapy across racial or ethnic subgroups. However, there were differences in distant recurrence-free survival rates, life-years, and QALYs across groups. Sensitivity analysis showed similar results. The model closely replicated the RxPONDER trial.

conclusionsModeled population-level outcomes show a small chemotherapy benefit in premenopausal women, but no benefit among postmenopausal women. Simulation modeling provides a useful tool to extend trial data and evaluate population-level outcomes.

Indexed as

Breast NeoplasmsAdultAgedComputer SimulationDisease-Free SurvivalErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansLymphatic MetastasisMiddle AgedNeoplasm Recurrence, LocalPostmenopausePremenopauseQuality-Adjusted Life YearsErb-b2 Receptor Tyrosine Kinases

Identifiers

PMID39118050
PMCPMC11308572

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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.