Evidence map›Paper›PMID 28852155›Full record

ArticleScientific reports2017

Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes.

Chun-Ming Ma, Na Lu, Rui Wang, Xiao-Li Liu, Qiang Lu, Fu-Zai Yin

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

27 citing papers in PubMed, 38 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

6 authors at 1 institution in 1 country.

Chun-Ming MaDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Na LuDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Rui WangDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Xiao-Li LiuDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Qiang LuDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China.
Fu-Zai YinDepartment of Endocrinology, The First Hospital of Qinhuangdao, No.258 Wenhua Road, Qinhuangdao, 066000, Hebei Province, China. yinfuzai62@163.com.
First Hospital of Qinhuangdao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study evaluated the performance of three novel obese indicators, visceral adiposity index (VAI), lipid accumulation product (LAP) and waist circumference-triglyceride index (WTI), for identifying metabolic syndrome(MetS) in type 2 diabetes. A cross-sectional study was conducted on 711 type 2 diabetes in Qinhuangdao. The MetS was defined as the definition of Chinese Diabetes Society. Receiver operating characteristic curve analyses were performed to assess the accuracy of three obese indicators as diagnostic tests for MetS. The prevalence of MetS was 71.3%. In men, among all three obese indicators, the LAP had the highest area under curve (AUC) value (AUC = 0.894), followed by VAI (AUC = 0.860) and WTI (AUC = 0.855). In women, among all three obese indicators, the LAP had the highest AUC value (AUC = 0.906), followed by WTI (AUC = 0.887) and VAI (AUC = 0.881). However. there was no significant difference between the three obese indicators(P > 0.05). Three obese indicators were effective indicators for the screening of MetS, LAP and WTI are more simple.

Indexed as

AdiposityAdultAgedBiomarkersChinaDiabetes Mellitus, Type 2Disease ManagementFemaleHumansLipid MetabolismMaleMetabolic SyndromeMiddle AgedObesityOdds RatioPrevalenceBiomarkers

Identifiers

PMID28852155
PMCPMC5574991
OpenAlexW2748044690

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.