Evidence map›Paper›PMID 39514584›Full record

ArticlePloS one2024

Association of METS-IR index with Type 2 Diabetes: A cross-sectional analysis of national health and nutrition examination survey data from 2009 to 2018.

Yisen Hou, Rui Li, Zhen Xu, Wenhao Chen, Zhiwen Li, Weirong Jiang, Yong Meng, Jianli Han

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
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

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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

17 citing papers in PubMed.

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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

8 authors.

Yisen HouDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.ORCID 0009-0003-4817-4739
Rui LiDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Zhen XuDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Wenhao ChenDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Zhiwen LiDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Weirong JiangDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Yong MengDepartment of Oncology Surgery, Xi'an No.3 Hospital, The Afliated Hospital of Northwest Universit, Xi'an, Shanxi, People's Republic of China.
Jianli HanDepartment of General Surgery, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi, People's Republic of China.ORCID 0000-0001-7791-3519

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith rising global diabetes prevalence, precise early identification and management of diabetes risk are critical research areas. The metabolic score for insulin resistance (METS-IR), a novel non-insulin-based tool, is gaining attention for quantifying insulin resistance using multiple metabolic parameters. Despite its potential in predicting diabetes and its precursors, evidence on its specific relationship with diabetes is limited, especially in large-scale population validation and mechanistic exploration.

objectiveThis study aims to analyze the association between METS-IR and type 2 diabetes (T2DM) in American adults.

methodsWe conducted a cross-sectional analysis of the National Health and Nutrition Examination Survey (NHANES) data from 2009 to 2018. Participants aged 20 years and above were included, excluding individuals with missing data on BMI, fasting blood glucose, high-density lipoprotein cholesterol glycated hemoglobin and diabetes status. Logistic regression analysis, subgroup analysis, and restricted cubic spline analysis were used to assess the association between METS-IR and T2DM, controlling for potential confounding factors.

resultsAfter adjusting for age, gender, race, education level, smoking status, drinking habits, depression, physical activity, hypertension, and hyperlipidemia, we found a positive association between METS-IR and the risk of T2DM. Specifically, each unit increase in METS-IR was associated with a 7% increase in the risk of T2DM (OR = 1.07, 95% CI: 1.06, 1.08). Subgroup analysis showed that the association between METS-IR and T2DM incidence was significantly positive in the highest quartile group, particularly among Mexican Americans over 40 years old and those diagnosed with depression, hypertension, or hyperlipidemia.

conclusionOur study revealed a significant positive association between METS-IR and the prevalence of T2DM, indicating that this relationship persists even after controlling for various confounding factors. Therefore, monitoring METS-IR may provide a valuable tool for the early identification of individuals at risk of glucose metabolism disorders. Further research should focus on the applicability of METS-IR in different populations and its potential impact on clinical practice.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceNutrition SurveysAdultAgedBlood GlucoseCross-Sectional StudiesFemaleHumansMaleMetabolic SyndromeMiddle AgedPrevalenceRisk FactorsUnited StatesBlood Glucose

Identifiers

PMID39514584
PMCPMC11548740

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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.