Evidence map›Paper›PMID 27703549›Full record

ArticleOpen access Macedonian journal of medical sciences2016

Neck Circumference in Overweight/Obese Subjects who Visited the Binjai Supermall in Indonesia.

Dharma Lindarto, Shierly, Santi Syafril

Open access · diamondAbstract read
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Article in Open access Macedonian journal of medical sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

5 citing papers in PubMed, 17 citations in OpenAlex.

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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 at 1 institution in 1 country.

Dharma LindartoDepartment of Internal Medicine, Faculty of Medicine, North Sumatra University - H. Adam Malik Hospital, Jalan Bunga Lau No 17, Medan 20136, Indonesia.
ShierlyDepartment of Internal Medicine, Faculty of Medicine, North Sumatra University - H. Adam Malik Hospital, Jalan Bunga Lau No 17, Medan 20136, Indonesia.
Santi SyafrilDepartment of Internal Medicine, Faculty of Medicine, North Sumatra University - H. Adam Malik Hospital, Jalan Bunga Lau No 17, Medan 20136, Indonesia.
Universitas Sumatera Utara · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeck circumference (NC) is a simple screening measure for identifying overweight and obesity, it reflects upper-body fat distribution and central obesity.

aimTo determine whether a single measure of NC might be used to identify overweight/obesity. MATERIAL AND

methodsAn observational, analytical, cross-sectional study was done. The subjects consisted of all consecutive subjects who visited Binjai Supermall (North Sumatera Province, Indonesia) between 23rd and 29th September 2015 and agreed to participate in the study. NC, weight, height, body mass index (BMI), and waist circumference (WC) were measured. Overweight and obesity were defined as BMIs of 23.0-24.9 and ≥ 25 kg/m

resultsIn total, 1554 subjects participated. Of these, 1238 (79.7%) were overweight/obese. NC correlated significantly with weight, height, BMI, and WC. Receiver operating characteristic (ROC) analysis showed that for all men and women, the area under the curve of overweight/obesity for NC was 0.83 and 0.79, respectively. The best NC cutoff points for males and females that indicated overweight/obesity were ≥ 37 cm (sensitivity, 78.3% and specificity, 75.5%) and ≥ 33.5 cm (sensitivity, 76.6% and specificity, 66.7%), respectively.

conclusionThe NC cutoffs that were identified may be useful for screening for overweight/obesity and related co-morbidities.

Indexed as

BMIcutoff pointneck circumferenceobesityoverweight

Identifiers

PMID27703549
PMCPMC5042609
OpenAlexW2500520387

What OpenQuestion holds

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LicenceCC BY
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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.