Evidence map›Paper›PMID 40384814›Full record

ArticleJournal of multidisciplinary healthcare2025

Elevated Waist-to-Height Ratio Increases the Risk of Cardiovascular and Cerebrovascular Disease Mortality in Elderly Type 2 Diabetes Mellitus Populations.

Yang Yang, Yajie Zhang, Zhen Tian

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 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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 synthesis or guideline pooled it.

  1. Pooled it
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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

3 authors.

Yang YangDepartment of Neurology, Huaian Fifth People's Hospital Affiliated to Yangzhou University, Huaian, Jiangsu Province, 223005, People's Republic of China.
Yajie ZhangDepartment of Neurology, Huaian Fifth People's Hospital Affiliated to Yangzhou University, Huaian, Jiangsu Province, 223005, People's Republic of China.
Zhen TianDepartment of Neurology, Huaian Fifth People's Hospital Affiliated to Yangzhou University, Huaian, Jiangsu Province, 223005, People's Republic of China.ORCID 0009-0007-9698-8437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the association between anthropometric indicators and cardiovascular and cerebrovascular disease (CCVD) mortality risk in elderly patients with type 2 diabetes mellitus (T2DM). Methods: This retrospective cohort study included 897 elderly T2DM patients who received long-term follow-up from January 2017 to January 2020. Baseline data included demographics, medical history, and anthropometric indicators such as body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). The primary outcome was CCVD-related mortality. A Cox proportional hazards model was used to analyze associations between physical measurements and CCVD mortality risk. Results: During a mean follow-up of 7.13 ± 2.45 years, 45 CCVD-related deaths occurred, with a mortality rate of 70.37 per 10,000 person-years. Cox regression analysis showed that higher WHtR was significantly associated with increased CCVD mortality risk in the overall population. Subgroup analyses revealed that elevated WHR predicted higher mortality risk in males, while increased BMI and WHtR were associated with greater CCVD mortality risk in females. Among patients without dyslipidemia or hyperuricemia, elevated WHtR also indicated increased mortality risk. Conclusion: Elevated WHtR is an independent predictor of CCVD mortality in elderly T2DM patients. WHR in males and BMI in females are also important risk factors. Monitoring and managing abdominal obesity may help reduce CCVD-related deaths in this population.

Indexed as

abdominal obesityanthropometric measurementscardiovascular mortalityrisk assessmentsurvival analysistype 2 diabetes mellituswaist-to-height ratio

Identifiers

PMID40384814
PMCPMC12083487

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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.