Evidence map›Paper›PMID 26295050›Full record

ArticleBioMed research international2015

Neck Circumference as a Predictive Indicator of CKD for High Cardiovascular Risk Patients.

Ya-Fang Liu, Shih-Tai Chang, Wei-Shiang Lin, Jen-Te Hsu, Chang-Min Chung, Jung-Jung Chang, Kuo-Chun Hung, Kang-Hua Chen, Chi-Wen Chang, Fu-Chi Chen and 2 more

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  5. Association Between Neck Circumference and Microalbuminuria in Community Residents.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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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

12 authors.

Ya-Fang LiuGraduate Institute of Life Sciences, National Defense Medical Center, No. 161, Section 6, Minquan East Road, Neihu District, Taipei City 114, Taiwan ; Department of Education and Research, Shin Kong Wu Ho-Su Memorial Hospital, No. 95, Wenchang Road, Shilin District, Taipei City 111, Taiwan.
Shih-Tai ChangDivision of Cardiology, Chiayi Chang Gung Memorial Hospital, No. 6, West Section Chiapu Road, Putzu City, Chiayi Hsien 613, Taiwan.
Wei-Shiang LinDivision of Cardiology, Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, No. 325, Section 2, Chenggong Road, Neihu District, Taipei City 114, Taiwan.
Jen-Te HsuDivision of Cardiology, Chiayi Chang Gung Memorial Hospital, No. 6, West Section Chiapu Road, Putzu City, Chiayi Hsien 613, Taiwan.
Chang-Min ChungDivision of Cardiology, Chiayi Chang Gung Memorial Hospital, No. 6, West Section Chiapu Road, Putzu City, Chiayi Hsien 613, Taiwan.
Jung-Jung ChangDivision of Cardiology, Chiayi Chang Gung Memorial Hospital, No. 6, West Section Chiapu Road, Putzu City, Chiayi Hsien 613, Taiwan.
Kuo-Chun HungDivision of Cardiology, Department of Internal Medicine, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, No. 5, Fuxing Street, Guishan District, Taoyuan City 333, Taiwan.
Kang-Hua ChenSchool of Nursing, College of Medicine, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City 333, Taiwan.
Chi-Wen ChangSchool of Nursing, College of Medicine, Chang Gung University, No. 259, Wenhua 1st Road, Guishan District, Taoyuan City 333, Taiwan.
Fu-Chi ChenDepartment of Biomedical Engineering, National Defense Medical Center, No. 161, Section 6, Minquan East Road, Neihu District, Taipei City 114, Taiwan.
Yun-Wen ShihSection of Biostatistics and Informatics, Department of Epidemiology, School of Public Health, National Defense Medical Center, Room 4317, No. 161, Section 6, Minquan East Road, Neihu District, Taipei City 114, Taiwan.
Chi-Ming ChuGraduate Institute of Life Sciences, National Defense Medical Center, No. 161, Section 6, Minquan East Road, Neihu District, Taipei City 114, Taiwan ; Section of Biostatistics and Informatics, Department of Epidemiology, School of Public Health, National Defense Medical Center, Room 4317, No. 161, Section 6, Minquan East Road, Neihu District, Taipei City 114, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeck circumference (NC) is an anthropometric measure of obesity for upper subcutaneous adipose tissue distribution which is associated with cardiometabolic risk. This study investigated whether NC is associated with indicators of chronic kidney disease (CKD) for high cardiometabolic risk patients.

methodsA total of 177 consecutive patients who underwent the outpatient departments of cardiology were prospectively enrolled in the study. The patients were aged >20 years with normal renal function or with stages 1-4 CKD. A linear regression was performed using the Enter method to present an unadjusted R(2), standardized coefficients, and standard error, and the Durbin-Watson test was used to assess residual independence.

resultsMost anthropometric measurements from patients aged ≧ 65 were lower than those from patients aged < 65, except for women's waist circumference (WC) and waist hip ratio. Female NC obtained the highest R(2) values for 24 hr CCR, uric acid, microalbuminuria, hsCRP, triglycerides, and HDL compared to BMI, WC, and hip circumference. The significances of female NC with 24 hr CCR and uric acid were improved after adjusted age and serum creatinine.

conclusionsNC is associated with indicators of CKD for high cardiometabolic risk patients and can be routinely measured as easy as WC in the future.

Indexed as

AdultAgedAnthropometryBody Mass IndexCardiovascular DiseasesFemaleHumansMaleMiddle AgedNeckObesityRenal Insufficiency, ChronicRisk FactorsTriglyceridesWaist CircumferenceTriglycerides

Identifiers

PMID26295050
PMCPMC4532819

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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 OpenQuestion graph.