Evidence map›Paper›PMID 34195936›Full record

ArticleEating and weight disorders : EWD2022

Comparison of obesity indices and triglyceride glucose-related parameters to predict type 2 diabetes mellitus among normal-weight elderly in China.

Pan Ke, Xia Wu, Minzhi Xu, Jie Feng, Hongbin Xu, Yong Gan, Chao Wang, Zhenyu Deng, Xiang Liu, Wenning Fu and 5 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Eating and weight disorders : EWD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
4.1field-weighted citation impact, top 5% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 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

15 authors at 5 institutions in 2 countries.

Pan Ke *Department 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, Hubei, China.
Xia Wu *Baoan District Songgang People's Hospital, Shenzhen, Guangdong, China.
Minzhi XuDepartment 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, Hubei, China.
Jie FengDepartment 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, Hubei, China.
Hongbin XuDepartment 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, Hubei, China.
Yong GanDepartment 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, Hubei, China.
Chao 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, Hubei, China.
Zhenyu DengBaoan District Songgang People's Hospital, Shenzhen, Guangdong, China.
Xiang LiuBaoan District Songgang People's Hospital, Shenzhen, Guangdong, China.
Wenning FuSchool of Nursing, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Qingfeng TianSchool of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Yan HeSchool of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Lirong ZhongSchool of Public Health, Hubei University of Medicine, Shiyan, Hubei, China.
Heng JiangCentre for Alcohol Policy Research, School of Psychology and Public Health, La Trobe University, Melbourne, VIC, 3086, Australia. Jason.Jiang@latrobe.edu.au.
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, Hubei, China. zuxunlu@yahoo.com.ORCID http://orcid.org/0000-0001-8432-5109
Huazhong University of Science and Technology · CNHegang People's Hospital · CNZhengzhou University · CNHubei University of Medicine · CNLa Trobe University · AU

Funding

Australian National Health Medical Research Council Project GNT1141325Australian Research Council Discover Project Grants DP200101781National Social Science Foundation of China 18ZDA085
6 · The paper itself

Abstract

purposeAlthough a significant proportion of type 2 diabetes mellitus (T2DM) cases arose from normal-weight individuals, studies on indicators of T2DM in normal-weight people are limited. Accordingly, this study aims to investigate the predictive value of obesity indices and triglyceride glucose-related parameters (TyG-related parameters) in T2DM among normal-weight Chinese elderly.

methodsA total of 24,215 normal-weight Chinese elderly (age ≥ 60 years) [body mass index-BMI (18.5-23.9 kg/m

resultsThe prevalence of T2DM was 14.2% in normal-weight individuals. Among the indices, TyG was significantly associated with T2DM among men and women, respectively, (adjusted odds ratio-aOR per SD 3.46; 95% CI 3.23-3.71) and (aOR per SD 3.64; 95% CI 3.43-3.86). Compared with other indices, TyG had the highest AUC value for T2DM in men (AUC: 0.818, 95% CI 0.810-0.825) and women (AUC: 0.824, 95% CI 0.814-0.833).

conclusionsTyG is an effective marker and outperforms other indices when predicting T2DM in the normal-weight Chinese elderly population. LEVEL OF EVIDENCE: Level V: Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Indexed as

Diabetes Mellitus, Type 2AgedBody Mass IndexChinaFemaleGlucoseHumansMaleMiddle AgedObesityRisk FactorsTriglyceridesWaist CircumferenceGlucoseTriglyceridesIndicatorNormal weightObesity IndicesTyG-related parametersType 2 diabetes mellitus (T2DM)

Identifiers

PMID34195936
OpenAlexW3133717914

What OpenQuestion holds

Textmetadata
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.