Evidence map›Paper›PMID 40072432›Full record

ArticleJAMA network open2025

Frailty Trajectories Following Adjuvant Chemotherapy and Mortality in Older Women With Breast Cancer.

Emilie D Duchesneau, Dae Hyun Kim, Til Stürmer, Qoua Her, Zhang Zhang, Nicholas M Pajewski, Heidi D Klepin, Kathryn E Callahan, Jennifer L Lund

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Health-related quality of life trajectories among older breast cancer survivors: a SEER-MHOS analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  11. 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

9 authors.

Emilie D DuchesneauDivision of Public Health Sciences, Department of Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Dae Hyun KimHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Boston, Massachusetts.
Til StürmerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.
Qoua HerDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.
Zhang ZhangDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.
Nicholas M PajewskiDivision of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Heidi D KlepinSection on Hematology and Oncology, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Kathryn E CallahanSection on Gerontology and Geriatric Medicine, Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
Jennifer L LundDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill.

Funding

Re-Entry Supplement: Investigation of Oral Microbial Enzymes for the Detection and Treatment of Periodontal DiseaseUL1TR002489 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BUSE, JOHN BERNARD, SHAHEEN, NICHOLAS J · 2018 to 2022
$48.6M
Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Cancer Care Quality Training ProgramT32CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ETHAN M. BASCH, Stephanie Brooke Wheeler · 2018 to 2026
$3.0M
Identifying Frailty in Primary Care: Implementation of an Electronic Medical Record-based Frailty IndexK76AG059986 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI CALLAHAN, KATHRYN · 2018 to 2022
$1.2M
Mid-Career Mentoring Award For Patient-Oriented Research in Frailty and Health OutcomesK24AG073527 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI Dae Hyun Kim · 2022 to 2026
$862k
NCATS NIH HHS UL1 TR002489NCCDPHP CDC HHS U58 DP003862NCI NIH HHS T32 CA116339NIA NIH HHS K24 AG073527NIA NIH HHS K76 AG059986NIA NIH HHS R01 AG056479
6 · The paper itself

Abstract

Importance: Frailty assessed at a single time point is associated with mortality in older women with breast cancer. Little is known about how changes in frailty following cancer treatment initiation affect mortality. Objective: To evaluate the association between claims-based frailty trajectories following adjuvant chemotherapy initiation and 5-year mortality in older women with stage I to III breast cancer. Design, Setting, and Participants: This longitudinal cohort study used the Surveillance, Epidemiology, and End Results cancer registries linked to Medicare claims data (claims from 2003-2019). Women aged 65 years or older with stage I to III breast cancer diagnosed from 2004 to 2017 were included. Eligible women underwent breast surgery followed by adjuvant chemotherapy as initial treatment. A landmark design was used to identify frailty trajectories during the year following chemotherapy initiation. Continuous enrollment in Medicare fee-for-service from 180 days before cancer diagnosis through 360 days following chemotherapy initiation (landmark) was required. Women who died or disenrolled before the landmark were excluded. Analyses were conducted between September 2022 and March 2024. Exposures: Claims-based frailty trajectories during the 360 days following chemotherapy initiation were identified using the Faurot frailty index, a validated claims-based proxy for frailty based on demographics and diagnosis, procedure, and durable medical equipment claims. The Faurot frailty index was calculated every 30 days from chemotherapy initiation through the landmark (360 days after chemotherapy initiation). Claims-based frailty trajectory clusters were identified using longitudinal K-means clustering. Main Outcomes and Measures: Associations between the claims-based frailty trajectory clusters and 5-year mortality from the landmark were estimated using Kaplan-Meier analysis. Results: In total, 20 292 women with breast cancer (median [IQR] age, 70 [67-74] years) were identified. The K-means analysis resulted in 6 trajectory clusters: 3 robust (16 120 women [79.4%]) or resilient (3259 [16.1%]) trajectories and 3 nonresilient trajectories (913 women [4.5%]). Five-year mortality was higher in women belonging to the 3 nonresilient trajectories compared with those belonging to the 3 resilient trajectories (52.1% vs 20.3%; difference, 31.8%; 95% CI, 29.0%-36.2%). Conclusions and Relevance: In this cohort study of women with stage I to III breast cancer, frailty changes following chemotherapy initiation were associated with long-term survival. Future research should assess the association of frailty interventions following cancer treatment initiation with survival and patient-centered outcomes in this population.

Indexed as

Breast NeoplasmsFrailtyAgedAged, 80 and overChemotherapy, AdjuvantFemaleHumansLongitudinal StudiesMedicareSEER ProgramUnited States

Identifiers

PMID40072432
PMCPMC11904708

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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.