Evidence map›Paper›PMID 39816438›Full record

ArticleJournal of multidisciplinary healthcare2025

Associations Between Frailty and Risk of All-Cause and Cardiovascular Mortality in Patients with Prediabetes: A Population-Based Study.

Chan Zhao, Kejia Wang

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. 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

2 authors.

Chan ZhaoDepartment of Endocrinology, The First Hospital of Qinhuangdao, Qinghuangdao City, Hebei Province, People's Republic of China.
Kejia WangDepartment of Geriatric Medicine, Chongqing Seventh People's Hospital, Chongqing, 400054, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diabetes is a well-known risk factor for frailty that has been associated with adverse prognosis. However, the association of frailty with all-cause and cardiovascular disease (CVD) mortality in patients with prediabetes has not been thoroughly explored. Methods: Participants with prediabetes were derived from the 1999-2018 National Health and Nutrition Examination Survey and followed up for all-cause and CVD mortality until December 31, 2019. A frailty index calculated using a 49-item deficit accumulation model > 0.21 was used to indicate the presence of frailty. Kaplan-Meier curves and weighted Cox proportional hazards regression were used to assess the association between frailty and mortality. Results: The weighted prevalence of frailty was 28.21% in this cohort of 7845 prediabetic participants with a mean age of 62.89 years. During a median follow-up time of 90 months, a total of 1983 all-cause (636 CVD-related) deaths occurred. Each 0.01 score increase in the frailty index was associated with a 5% and 6% increased risk of all-cause and CVD-related mortality, respectively. The hazard ratio and 95% confidence interval for all-cause and CVD mortality in the frailty group were 2.28 (1.89-2.76) and 2.84 (2.01-4.02), respectively, compared with those without frailty. Restricted cubic spline analysis showed a linear association between frailty index and all-cause or CVD mortality. Similar results were observed in the sensitivity analyses. Conclusion: The frailty index was positively associated with all-cause and CVD mortality in participants with prediabetes, highlighting that appropriate screening and management of frailty may help reduce mortality in patients with prediabetes.

Indexed as

all-cause mortalitycardiovascular diseasefrailtyprediabetes

Identifiers

PMID39816438
PMCPMC11733196

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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.