Evidence map›Paper›PMID 30764803›Full record

ArticleBMC public health2019

The association of metabolic syndrome components and diabetes mellitus: evidence from China National Stroke Screening and Prevention Project.

Wenzhen Li, Dongming Wang, Xiaojun Wang, Yanhong Gong, Shiyi Cao, Xiaoxv Yin, Xianbo Zhuang, Wenhuan Shi, Zhihong Wang, Zuxun Lu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 44 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

10 authors at 4 institutions in 1 country.

Wenzhen LiDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China.
Dongming WangDepartment of Occupational & Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiaojun WangDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China.
Yanhong GongDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China.
Shiyi CaoDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China.
Xiaoxv YinDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China.
Xianbo ZhuangDepartment of Neurology, Liaocheng People's Hospital, Liaocheng city, Shandong Province, China.
Wenhuan ShiDepartment of science and education, The Third Hospital of Shijiazhuang, Shijiazhuang city, Hebei Province, China.
Zhihong WangHealth Science Center, Shenzhen second people's hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, 518020, People's Republic of China. 247506385@qq.com.
Zuxun LuDepartment of Social Medicine and Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, No. 13 Hangkong Road, Wuhan, 430030, China. zuxunlu@yahoo.com.ORCID http://orcid.org/0000-0001-8432-5109
Huazhong University of Science and Technology · CNFirst Hospital of Shijiazhuang · CNLiaocheng People's Hospital · CNShenzhen University · CN

Funding

Huazhong University of Science and Technology 2016YXMS215Ministry of Finance of the People's Republic of China Finance and Social Security [2011] Document No. 61, Ministry of Financethe Innovation Committee of Shenzhen Science and Technology KJYY20170413162318686
6 · The paper itself

Abstract

backgroundThe metabolic syndrome (MetS) is related with cardiovascular disease. However, its relationship with diabetes mellitus (DM) has not been examined in Chinese population with a larger sample. We aimed to assess the relationship between metabolic syndrome (MetS) and its components, and DM, and to determine the best one from the available definitions of Mets when assessing the risk of DM.

methodsThis was a cross-sectional survey in a nationally representative sample of 109,551 Chinese adults aged ≥40 years in 2014-15. MetS was defined according to three criteria including the updated International Diabetes Federation (IDF) criterion, the National Cholesterol Education Program Third Adult Treatment Panel (NCEP ATP III) criterion and American Heart Association/National Heart, Lung, and Blood Institute (AHA/NHLBI) criterion. Logistic regression models were used to estimate the odds of DM.

resultsMetS as defined by three criteria including IDF, NCEP ATP III,and AHA/NHLBI all increased the prevalence of DM, and the adjusted ORs with 95% CI was more higher using NCEP ATP III (3.65, 3.52-3.79) than IDF (2.50, 2.41-2.60) and AHA/NHLBI (3.03, 2.92-3.24). The odds of DM was highest in hyperglycemia with cut-off glucose≥6.1 mmol/L (14.55, 13.97-15.16), and other components were also associated significantly with DM. There was heterogeneity for OR of DM associated with various trait combinations.

conclusionsThe NCEP ATPIII MetS definition may be more suitable for assessment of DM risk in Chinese population. Hyperglycemia, as previous study reported, are important risk factors of DM. Besides, other traits of Mets are also significantly associated with DM and should therefore be of greater concern.

Indexed as

AdultAgedCardiovascular DiseasesChinaCross-Sectional StudiesDiabetes MellitusFemaleHumansHyperglycemiaLipidsLogistic ModelsMaleMetabolic SyndromeMiddle AgedPrevalenceRisk FactorsLipidsDiabetes mellitusMetabolic syndromeNational cross-sectional study

Identifiers

PMID30764803
PMCPMC6376638
OpenAlexW2923109596

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.