Evidence map›Paper›PMID 36673809›Full record

ArticleInternational journal of environmental research and public health2023

Association between METS-IR and Prediabetes or Type 2 Diabetes Mellitus among Elderly Subjects in China: A Large-Scale Population-Based Study.

Hui Cheng, Xiao Yu, Yu-Ting Li, Zhihui Jia, Jia-Ji Wang, Yao-Jie Xie, Jose Hernandez, Harry H X Wang, Hua-Feng Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 29 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

9 authors at 4 institutions in 3 countries.

Hui ChengSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xiao YuSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yu-Ting LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.ORCID 0000-0002-6716-358X
Zhihui JiaSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jia-Ji WangCentre for General Practice, The Seventh Affiliated Hospital, Southern Medical University, Foshan 528244, China.
Yao-Jie XieSchool of Nursing, The Hong Kong Polytechnic University, Hung Hom, Kowloon 852, Hong Kong, China.ORCID 0000-0001-9289-4985
Jose HernandezMedicine and Health, EDU Institute of Higher Education, 1320 Kalkara, Malta.
Harry H X WangSchool of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-0361-6527
Hua-Feng WuShishan Community Health Centre of Nanhai, Foshan 528234, China.
Sun Yat-sen University · CNHong Kong Polytechnic University · HKThird Affiliated Hospital of Southern Medical University · CNUniversity of Oxford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metabolic score for insulin resistance (METS-IR) was recently proposed as a non-insulin-based, novel index for assessing insulin resistance (IR) in the Western population. However, evidence for the link between METS-IR and prediabetes or type 2 diabetes mellitus (T2DM) among the elderly Chinese population was still limited. We aimed to investigate the associations between METS-IR and prediabetes or T2DM based on large-scale, cross-sectional, routine physical examination data. In a total of 18,112 primary care service users, an increased METS-IR was independently associated with a higher prevalence of prediabetes (adjusted odds ratio [aOR] = 1.457, 95% confidence interval [CI]: 1.343 to 1.581, p < 0.001) and T2DM (aOR = 1.804, 95%CI: 1.720 to 1.891, p < 0.001), respectively. The aOR for prediabetes in subjects with the highest quartile of METS-IR was 3.060-fold higher than that in those with the lowest quartile of METS-IR. The aOR for T2DM in subjects with the highest quartile of METS-IR was 6.226-fold higher than that in those with the lowest quartile of METS-IR. Consistent results were obtained in subgroup analyses. Our results suggested that METS-IR was significantly associated with both prediabetes and T2DM. The monitoring of METS-IR may add value to early identification of individuals at risk for glucose metabolism disorders in primary care.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceMetabolic SyndromePrediabetic StateAgedCross-Sectional StudiesHumansRisk Assessmentcross-sectional studyinsulin resistanceMETS-IRprediabetesT2DM

Identifiers

PMID36673809
PMCPMC9859146
OpenAlexW4313889563

What OpenQuestion holds

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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.