Evidence map›Paper›PMID 35218520›Full record

ArticleJournal of cancer survivorship : research and practice2023

Functional aging trajectories of older cancer survivors: a latent growth analysis of the US Health and Retirement Study.

Ashly C Westrick, Kenneth M Langa, Marisa Eastman, Monica Ospina-Romero, Megan A Mullins, Lindsay C Kobayashi

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Ashly C WestrickCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA. acwestr@umich.edu.ORCID 0000-0001-8836-8499
Kenneth M LangaInstitute for Healthcare Policy and Innovations, University of Michigan, Ann Arbor, Michigan, USA.
Marisa EastmanCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
Monica Ospina-RomeroDepartment of Pathology and Laboratory Medicine, University of Wisconsin, Ann Arbor, USA.
Megan A MullinsCenter for Improving Patient and Population Health, University of Michigan, Ann Arbor, MI, USA.
Lindsay C KobayashiCenter for Social Epidemiology and Population Health, Department of Epidemiology, University of Michigan School of Public Health, 1415 Washington Heights, Ann Arbor, MI, 48109, USA.
University of Michigan · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI THEODORE S LAWRENCE · 1988 to 2026
$178.2M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Statistical Data EnclaveP30AG012846 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Esther M. Friedman · 1999 to 2026
$23.2M
Interdisciplinary Research Training Center in Cancer Care DeliveryT32CA236621 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lauren P Wallner · 2020 to 2026
$2.8M
Education and cancer-related cognitive decline during agingR03CA241841 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KOBAYASHI, LINDSAY C · 2019 to 2020
$156k
NCI NIH HHS P30 CA046592NCI NIH HHS R03 CA241841NCI NIH HHS T32 CA236621NIA NIH HHS P30 AG012846NIA NIH HHS P30 AG024824NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

purposeWe aimed to identify prototypical functional aging trajectories of US cancer survivors aged 50 and older, overall and stratified by sociodemographic and health-related characteristics.

methodsData were from 2986 survivors of a first incident cancer diagnosis (except non-melanoma skin cancer) after age 50 in the population representative U.S. Health and Retirement Study from 1998-2016. Cancer diagnoses, episodic memory function, and activity of daily living (ADL) limitations were assessed at biennial study interviews. Using time of cancer diagnosis as the baseline, we used group-based trajectory modeling to identify trajectories of memory function and ADL limitations following diagnosis.

resultsWe identified five memory loss trajectories (high: 8.4%; medium-high: 18.3%; medium-low: 21.5%; low: 25.5%; and, very low: 26.2%), and four ADL limitation trajectories (high/increasing limitations: 18.7%; medium limitations: 18.7%; low limitations: 8.14%; no limitations: 60.0). The high memory loss and high/increasing ADL limitation trajectories were both characterized by older age, being female (52% for memory, 58.9% for ADL), having lower pre-cancer memory scores, and a higher prevalence of pre-cancer comorbidities including stroke (30.9% for memory and 29.7% for ADL), hypertension (64.7% for memory and 69.8 for ADL), and depressive symptoms. In joint analyses, we found that generally those with higher memory were more likely to have fewer ADL limitations and vice versa.

conclusionOlder cancer survivors experience heterogeneous trajectories of functional aging that are largely characterized by comorbidities prior to diagnosis. IMPLICATION FOR CANCER SURVIVORS: Results can help identify older cancer survivors at increased risk for accelerated functional decline.

Indexed as

Cancer SurvivorsNeoplasmsActivities of Daily LivingAgedAgingFemaleHumansLongitudinal StudiesMaleMemory DisordersMiddle AgedRetirementActivities for daily livingAgingCancerMemory

Identifiers

PMID35218520
PMCPMC9411262
OpenAlexW4214738141

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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 OpenQuestion graph.