Evidence map›Paper›PMID 36125732›Full record

ArticleJournal of endocrinological investigation2023

The impact of the metabolic score for insulin resistance on cardiovascular disease: a 10-year follow-up cohort study.

Z Wu, H Cui, Y Zhang, L Liu, W Zhang, W Xiong, F Lu, J Peng, J Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 2% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 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 3 institutions in 2 countries.

Z Wu *The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
H Cui *The Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
Y ZhangThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
L LiuThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
W ZhangThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
W XiongThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China.
F LuCardio-Cerebrovascular Control and Research Center, Shandong Academy of Medical Sciences, Jinan, China.
J PengDepartment of Geriatric Medicine, Key Laboratory of Cardiovascular Proteomics of Shandong Province, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China. pj9987@126.com.
J YangThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Department of Cardiology, Qilu Hospital of Shandong University, No 107, Wenhuaxi Road, Jinan, Shandong, China. yangjianminsdu@163.com.ORCID http://orcid.org/0000-0002-8593-2338
Chinese Academy of Medical Sciences & Peking Union Medical College · CNQilu Hospital of Shandong University · CNShandong First Medical University · CN

Funding

Key Technology Research and Development Program of Shandong No. 2021SFGC0503National Natural Science Foundation of China No.81800761National Natural Science Foundation of China No. 81970366
6 · The paper itself

Abstract

purposeTo investigate whether the metabolic score for insulin resistance (METS-IR) is associated with an increased risk of cardiovascular disease (CVD).

methodsA total of 6489 participants aged 35-70 years without a history of CVD were included in this prospective cohort study. The median follow-up time was 10.6 years. The METS-IR was calculated as ln [2 × FPG (mg/dL) + fasting TG (mg/dL)] × BMI (kg/m

resultsDuring follow-up, 396 individuals developed CVD. Kaplan-Meier survival curves by quintiles of METS-IR showed statistically significant differences (log-rank test, P < 0.001). Multivariate Cox regression analysis showed that the hazard ratio [95% confidence interval (95% CI)] of CVD was 1.80 (1.24-2.61) in quintile 5 and 1.17 (1.05-1.31) for per standard deviation (SD) increase in METS-IR. In subgroup analysis, the significant association between METS-IR and CVD was mainly observed among females and subjects without diabetes mellitus. A significant interaction was found between gender and METS-IR (P-interaction = 0.001). Moreover, adding METS-IR to models with traditional risk factors yielded a significant improvement in discrimination and reclassification of incident CVD.

conclusionThe elevated METS-IR was independently associated with incident CVD, suggesting that the METS-IR might be a valuable indicator for risk stratification and early intervention of CVD.

Indexed as

Cardiovascular DiseasesInsulin ResistanceMetabolic SyndromeFemaleFollow-Up StudiesHumansProspective StudiesRisk FactorsCardiovascular diseaseCoronary heart diseaseInsulin resistanceThe metabolic score for insulin resistance

Identifiers

PMID36125732
OpenAlexW4297855219

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.