Evidence map›Paper›PMID 40827124›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2025

Association Between Neck-to-Limb Length Ratio and Cardiovascular Events in a Chinese Population.

Xiaoya Li, Tingting Hu, Yiting Xu, Xuhong Lu, Yingying Su, Yunfeng Xiao, Yufei Wang, Xiaojing Ma, Yuqian Bao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 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

9 authors.

Xiaoya Li *Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Tingting Hu *Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Yiting Xu *Department of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Xuhong LuDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Yingying SuDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Yunfeng XiaoDepartment of Radiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, 200233, People's Republic of China.
Yufei WangDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Xiaojing MaDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.
Yuqian BaoDepartment of Endocrinology and Metabolism, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai Clinical Center for Diabetes, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, People's Republic of China.ORCID 0000-0002-4754-3470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Obesity contributes to cardiovascular (CV) events. This study aimed to identify the most effective anthropometric indicators that add predictive value to body mass index (BMI) for subsequent CV events in individuals without carotid plaques, improving early risk stratification in subclinical populations. Methods: This longitudinal study enrolled 1043 participants from a community-based cohort in Shanghai (2013-2014) and followed them for CV events through 2021-2022. The CV events included ischemic heart disease (myocardial infarction, unstable angina pectoris, hospitalization for heart failure, and coronary revascularization), ischemic stroke, and CV death. Carotid plaque was excluded via ultrasound. Visceral fat area (VFA) was assessed using magnetic resonance imaging. The neck circumference (NC), neck-to-height ratio (NHtR), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), neck-to-limb length ratio (NLR), and waist-to-limb length ratios (WLR) were calculated. Results: Multivariable linear regression analysis revealed a significant positive correlation between various obesity-related indices (BMI, waist circumference, NC, NHtR, WHtR, WHR, NLR, and WLR) and VFA (all Conclusion: NLR was correlated with visceral fat content, and significantly enhanced the predictive value of BMI for CV risk in individuals without baseline carotid plaque. These findings support their use in routine clinical assessment to enhance early prevention efforts.

Indexed as

body mass indexcardiovascular disorderneck-to-height rationeck-to-limb length ratioobesityvisceral fat

Identifiers

PMID40827124
PMCPMC12358135

What Socratic holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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 Socratic graph.