Evidence map›Paper›PMID 42119309›Full record

ArticleGynecologic oncology2026

Longitudinal dynamics of post-diagnosis frailty among older women with ovarian cancer.

Minh Tung Phung, Lisa M Barroilhet, Neil Binkley, Ronald E Gangnon, Amy Trentham-Dietz

Abstract read
In one paragraph

Article in Gynecologic oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Minh Tung PhungDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States of America; University of Wisconsin-Madison Carbone Cancer Center, Madison, WI, United States of America; Center for Demography of Health and Aging, University of Wisconsin-Madison, Madison, WI, United States of America; Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, United States of America. Electronic address: phungmt@umich.edu.
Lisa M BarroilhetUniversity of Wisconsin-Madison Carbone Cancer Center, Madison, WI, United States of America; Department of Obstetrics and Gynecology, University of Wisconsin-Madison, Madison, WI, United States of America.
Neil BinkleyDepartment of Medicine, University of Wisconsin-Madison, Madison, WI, United States of America.
Ronald E GangnonDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States of America; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States of America.
Amy Trentham-DietzDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, United States of America; University of Wisconsin-Madison Carbone Cancer Center, Madison, WI, United States of America.

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Justine Yang Bruce · 1985 to 2026
$142.6M
University of Wisconsin Building Interdisciplinary Research Careers in Women's Health (BIRCWH) Scholars ProgramK12AR084227 · NIAMS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Lisa M Barroilhet · 2023 to 2026
$2.5M
NCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032INCI NIH HHS P30 CA014520NIAMS NIH HHS K12 AR084227
6 · The paper itself

Abstract

objectiveLeading oncology societies recommend assessing pre-treatment frailty to guide care for older adults with cancer. However, frailty may change post-diagnosis. This study characterized post-diagnosis frailty and its association with overall survival among older women with ovarian cancer.

methodsWe included 24,725 women aged 65+ diagnosed with ovarian cancer between 2000 and 2019 from Surveillance, Epidemiology, and End Results (SEER)-Medicare. Frailty was quantified at diagnosis and 1-3 years post-diagnosis using a validated claims-based index. We compared patients' frailty at the beginning and end of each year. At 1, 2, and 3 years post-diagnosis, we fit a Cox proportional hazards model including frailty at diagnosis and current frailty to assess associations with survival.

resultsFrailty distribution at diagnosis was: 7.1% non-frail, 71% pre-frail, 18% mildly frail, 3.4% moderately frail, and 0.9% severely frail. During year 1, 38% of women maintained frailty status, 4% improved, 26% worsened, and 32% died. In years 2-3, some women remained stable while others improved or worsened. There were 21,309 deaths during a median follow-up of 25 months (interquartile range 7-58). Frailty at diagnosis was not associated with survival after adjusting for current frailty (hazard ratios [HRs] for severely frail versus non-frail =0.98, 1.00, 0.76 at 1, 2, 3 years, respectively, all p-values>0.20). Current frailty was strongly associated with survival, and the association increased over time (HRs =2.26, 2.77, 3.70, respectively; all p-values<0.001).

conclusionsPost-diagnosis frailty is dynamic. Current frailty has a stronger association with overall survival compared to frailty at diagnosis. Repeated frailty assessments should be incorporated into clinical practice.

Indexed as

FrailtyOvarian NeoplasmsAgedAged, 80 and overFemaleFrail ElderlyHumansLongitudinal StudiesProportional Hazards ModelsSEER ProgramUnited StatesFrailtyFrailty dynamicsOlder adultsOvarian cancerSurvival

Identifiers

PMID42119309
PMCPMC13245817

What Socratic holds

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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 Socratic graph.