Evidence map›Paper›PMID 39690394›Full record

ArticleJournal of cancer survivorship : research and practice2026

Frailty transitions and associated factors in older cancer survivors in the USA: using a multi-state modeling.

Weijiao Zhou, Youmin Cho, Shaomei Shang, Yuelin Li, Jisu Seo, Junlan Pu, Rhayun Song

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Article in Journal of cancer survivorship : research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

2 citing papers in PubMed.

  1. Supportive oncology development in a major metropolitan area: regional services.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  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

7 authors.

Weijiao ZhouSchool of Nursing, Peking University, Beijing, China.
Youmin ChoCollege of Nursing, Chungnam National University, 266 Munhwa-Ro, Jung-Gu, Daejeon, South Korea, 35015. youmcho@cnu.ac.kr.
Shaomei ShangSchool of Nursing, Peking University, Beijing, China.
Yuelin LiCollege of Nursing, Chungnam National University, 266 Munhwa-Ro, Jung-Gu, Daejeon, South Korea, 35015.
Jisu SeoCollege of Nursing, Chungnam National University, 266 Munhwa-Ro, Jung-Gu, Daejeon, South Korea, 35015.
Junlan PuSchool of Nursing, Peking University, Beijing, China.
Rhayun SongCollege of Nursing, Chungnam National University, 266 Munhwa-Ro, Jung-Gu, Daejeon, South Korea, 35015.

Funding

China Postdoctoral Science Foundation 2024M750138National Research Foundation of Korea NRF-2022R1A2C2011502
6 · The paper itself

Abstract

purposeFrailty is a major concern in the aging cancer population. It can progress to severe frailty or death or improve to pre-frail or non-frail states. However, frailty transitions in older cancer survivors are not well understood. This study aimed to explore frailty transitions and associated factors in older cancer survivors.

methodsWe analyzed data from the National Health and Aging Trends Study (NHATS) in 2017-2022, focusing on older adults aged ≥ 65 who have been diagnosed with cancer. Frailty was assessed annually using the Fried Frailty Phenotype. Multi-state Markov models were used to explore transitions between frailty states (non-frail, pre-frail, frail, and death) and examine the association with sociodemographic factors, comorbidities, and inflammatory biomarkers (IL-6 and CRP).

resultsAmong 1219 survivors, 25.27% were non-frail, 52.34% pre-frail, and 22.40% frail at baseline. Over 5 years, there were 1396 transitions: 950 (68.05%) progressed or deceased, and 446 (31.95%) reversed. Pre-frail individuals transitioned to frailty slightly more than they reversed to non-frailty (0.25 vs. 0.21). Frail individuals were more likely to decease than to reverse (0.30 vs. 0.28). Factors associated with frailty progression included older age, lower education, more comorbidities, and higher IL-6 and CRP levels. Being female and obese were protective against the frailty-to-death transition.

conclusionsThe results showed dynamic frailty transitions in older cancer survivors and identified key sociodemographic and physiological factors. IMPLICATIONS FOR CANCER SURVIVORS: These findings can guide targeted interventions, highlighting the importance of early identification and tailored approaches to prevent frailty progression in older cancer survivors.

Indexed as

Cancer SurvivorsFrailtyNeoplasmsAgedAged, 80 and overComorbidityFemaleFrail ElderlyGeriatric AssessmentHumansMaleUnited StatesAgingFrailtyGeriatricOncologySurvivorship

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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.