Evidence map›Paper›PMID 27796813›Full record

ArticleEndocrine2017

Neck circumference as an effective measure for identifying cardio-metabolic syndrome: a comparison with waist circumference.

Yuqi Luo, Xiaojing Ma, Yun Shen, Yiting Xu, Qin Xiong, Xueli Zhang, Yunfeng Xiao, Yuqian Bao, Weiping Jia

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Endocrine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

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

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  16. Cashew nut (Frontiers in nutrition · 2024
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  19. Correlation Between Neck Circumference and Gestational Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
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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

9 authors.

Yuqi LuoDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Xiaojing MaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Yun ShenDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Yiting XuDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Qin XiongDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Xueli ZhangDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.
Yunfeng XiaoDepartment of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Yuqian BaoDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China. yqbao@sjtu.edu.cn.
Weiping JiaDepartment of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai Clinical Center for Diabetes, Shanghai Key Clinical Center for Metabolic Disease, Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai, 200233, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neck circumference is a new anthropometric index for estimating obesity. We aimed to determine the relationship between neck circumference and body fat content and distribution as well as the efficacy of neck circumference for identifying visceral adiposity and metabolic disorders. A total of 1943 subjects (783 men, 1160 women) with a mean age of 58 ± 7 years were enrolled in this cross-sectional study. Metabolic syndrome was defined according to the standard in the 2013 China Guideline. Analyses were conducted to determine optimal neck circumference cutoff points for visceral adiposity quantified by magnetic resonance imaging, and to compare the performance of neck circumference with that of waist circumference in identifying abdominal obesity and metabolic disorders. Visceral fat content was independently correlated with neck circumference. Receiver operating characteristic curves showed that the area under the curve for the ability of neck circumference to determine visceral adiposity was 0.781 for men and 0.777 for women. Moreover, in men a neck circumference value of 38.5 cm had a sensitivity of 56.1 % and specificity of 83.5 %, and in women, a neck circumference value of 34.5 cm had a sensitivity of 58.1 % and specificity of 82.5 %. These values were the optimal cutoffs for identifying visceral obesity. There were no statistically significant differences between the proportions of metabolic syndrome and its components identified by an increased neck circumference and waist circumference. Neck circumference has the same power as waist circumference for identifying metabolic disorders in a Chinese population.

Indexed as

AdiposityAgedAnthropometryFemaleHumansMaleMetabolic SyndromeMiddle AgedNeckWaist CircumferenceCardio-metabolic syndromeNeck circumferenceVisceral obesityWaist circumference

Identifiers

PMID27796813

What OpenQuestion holds

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Read underepoch 390

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 OpenQuestion graph.