Evidence map›Paper›PMID 41152806›Full record

ArticleBMC public health2025

The association between baseline and long-term status of metabolic score for insulin resistance index and the incidence of cardiometabolic multimorbidity.

Man Yang, Jia Liu, Suwen Shen, Qian Shen, Yaqi Liu, Yun Qian

Abstract read
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Man YangThe Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
Jia LiuThe Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
Suwen ShenDepartment of Medical Administration, Suzhou Industrial Park Medical and Health Management Center, 158 Wangdun Road, Suzhou Industrial Park, Suzhou, Jiangsu Province, 215028, China.
Qian ShenThe Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
Yaqi LiuThe Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China.
Yun QianThe Affiliated Wuxi Center for Disease Control and Prevention of Nanjing Medical University, Wuxi Center for Disease Control and Prevention, Wuxi, 214023, China. qianyun123@njmu.edu.cn.

Funding

Integrting Information About Aging SurveysR01AG030153 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Sara Adar, Alden L. Gross · 2007 to 2026
$41.7M
Mega Meta Data Set of the Health and Retirement Surveys Around the WorldRC2AG036619 · NIA · RAND CORPORATION · PI KAPTEYN, ARIE · 2009 to 2010
$2.0M
Archiving & Creating User Friendly Data: the Longitudinal Aging Survey in IndiaR03AG043052 · NIA · RAND CORPORATION · PI LEE, JINKOOK · 2012 to 2012
$95k
General Programme of Wuxi Medical Center, Nanjing Medical University WMCG202303Medical Key Discipline Program of Wuxi Health Commission LCZX2021006NIA NIH HHS R01 AG030153NIA NIH HHS R03 AG043052NIA NIH HHS RC2 AG036619the Youth Foundation of Wuxi Health and Family Planning Commission Q202267the Youth Foundation of Wuxi Health and Family Planning Commission Q202365Top Talent Support Program of Wuxi Taihu Talents Plan; Top Talent Support programme for Young and Middle-aged Scientists HB2023095
6 · The paper itself

Abstract

backgroundCardiometabolic multimorbidity (CMM) significantly shortens life expectancy. This study aimed to explore the relationship between baseline and longitudinal metabolic score for insulin resistance index (METS-IR) and CMM incidence in middle-aged and elderly Chinese adults.

methodsThe study included 8,050 participants for analysis. Long-term METS-IR status was assessed using two approaches: (1) the mean METS-IR calculated from two measurements and (2) the duration of high METS-IR exposure, categorized as 0, 2, or 4 years based on ROC-optimized cutoffs. The primary outcome was incident CMM, defined as the presence of at least two self-reported cardiometabolic conditions (diabetes, stroke, or cardiac disease). Multivariable logistic regression and nonparametric restricted cubic splines were employed to evaluate the risk and shape of the relationship between baseline and longitudinal METS-IR and CMM.

resultsDuring the 6-year follow-up, 540 participants developed CMM. Participants in the highest METS-IR tertile showed a significantly increased risk of developing CMM compared to those in the lowest tertile (baseline: OR 2.94, 95%CI 2.04–4.22; updated mean: OR 3.26, 95%CI 1.90–5.59). RCS analysis revealed a strong linear association for both baseline and updated mean METS-IR (both Plinearity<0.0001). Notably, participants with 2-year (OR 2.45, 95%CI 1.52–3.96) and 4-year (OR 3.46, 95%CI 2.18–5.51) high METS-IR exposure were associated with increased CMM risk compared to those with no exposure.

conclusionElevated baseline and long-term METS-IR, particularly sustained high exposure, were associated with higher CMM incidence in middle-aged and older Chinese adults.

Indexed as

Cardiovascular DiseasesInsulin ResistanceMetabolic SyndromeMultimorbidityAgedCardiometabolic Risk FactorsChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedRisk FactorsCardiometabolic multimorbidityCHARLSInsulin resistanceLong-term statusMETS-IR

Identifiers

PMID41152806
PMCPMC12560414

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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.