Evidence map›Paper›PMID 39875753›Full record

ArticleGeroScience2025

Cardiovascular disease, bone fracture, and all-cause mortality risks among postmenopausal women by arthritis and veteran status: A multistate Markov transition analysis.

Hind A Beydoun, May A Beydoun, Jordan Weiss, Robert Brunner, Nishant K Mishra, Ming Ding, Jean Wactawski-Wende, Philippe Jean-Luc Gradidge, Simin Liu, Jack Tsai

Abstract read
In one paragraph

Article in GeroScience, 2025. 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

10 authors.

Hind A BeydounU.S. Department of Veterans Affairs, VA National Center On Homelessness Among Veterans, Washington, DC, USA. Hind.Baydoun@va.gov.ORCID 0000-0002-9704-328X
May A BeydounLaboratory of Epidemiology and Population Sciences, National Institute On Aging Intramural Research Program, Baltimore, MD, USA.
Jordan WeissOptimal Aging Institute, New York University Grossman School of Medicine, New York, NY, USA.
Robert BrunnerDepartment of Family and Community Medicine (Emeritus), School of Medicine, University of Nevada (Reno), Reno, NV, USA.
Nishant K MishraDepartment of Neurology, School of Medicine, Yale University, New Haven, CT, USA.
Ming DingDepartment of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY, USA.
Philippe Jean-Luc GradidgeDepartment of Exercise Science and Sports Medicine, School of Therapeutic Sciences, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Simin LiuDepartment of Epidemiology and Biostatistics, The Joe Wen School of Population and Public Health, The University of California, Irvine, CA, USA.
Jack TsaiU.S. Department of Veterans Affairs, VA National Center On Homelessness Among Veterans, Washington, DC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arthritis, a chronic inflammatory condition linked to cardiovascular disease (CVD) and bone fracture, is more frequent among military veterans and postmenopausal women. This study examined correlates of arthritis and relationships of arthritis with risks of developing CVD, bone fractures, and mortality among postmenopausal veteran and non-veteran women. We analyzed longitudinal data on 135,790 (3,436 veteran and 132,354 non-veteran) postmenopausal women from the Women's Health Initiative who were followed-up for an average of 16 years between enrollment (1993-1998) and February 17, 2024. Regression and multistate Markov modeling were applied to meet study objectives. The prevalence of arthritis at enrollment (1993-1998) did not differ by veteran status in a fully adjusted logistic model. Variable selection yielded 5 key predictors of prevalent arthritis among veterans and 15 key predictors among non-veterans. In fully-adjusted Cox models, prevalent arthritis was associated with CVD (hazard ratio [HR] = 1.08, 95% confidence interval [CI]: 1.05, 1.10) and all-cause mortality (HR = 1.03, 95% CI: 1.01, 1.05) risks among non-veterans only, but was not associated with bone fracture risk irrespective of veteran status. Transition probabilities between health and CVD and between bone fracture and death were higher among women with vs. without arthritis. The latter transition was more strongly related to arthritis among non-veteran vs. veteran women. In conclusion, among postmenopausal women, prevalent arthritis was associated with greater probabilities of transitioning from a healthy state to CVD and from bone fracture to death, with worse prognosis after bone fracture among those who did not serve in the military.

Indexed as

ArthritisCardiovascular DiseasesFractures, BonePostmenopauseVeteransAgedCause of DeathFemaleHumansLongitudinal StudiesMarkov ChainsMiddle AgedPrevalenceRisk FactorsUnited StatesArthritisBone fractureCardiovascular diseaseMenopauseMultistateVeteran

Identifiers

PMID39875753
PMCPMC12181562

What OpenQuestion holds

Textmetadata
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.