Evidence map›Paper›PMID 37461067›Full record

ArticleDiabetology & metabolic syndrome2023

The metabolic score for insulin resistance in the prediction of major adverse cardiovascular events in patients after coronary artery bypass surgery: a multicenter retrospective cohort study.

Shuai Zhang, Zhenguo Wu, Yifan Zhuang, Xiangfei Sun, Juan Wang, Sha Chen, Dachuan Guo, Panpan Xu, Cheng Zhang, Jianmin Yang

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

10 authors.

Shuai Zhang *National Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Zhenguo Wu *National Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Yifan Zhuang *National Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Xiangfei SunDepartment of Cardiovascular Surgery, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250021, Shandong, China.
Juan WangDepartment of Cardiology, The Second Hospital of Shandong University, Jinan, 250033, Shandong, China.
Sha ChenNational Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Dachuan GuoNational Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Panpan XuNational Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China.
Cheng ZhangNational Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China. zhangc@sdu.edu.cn.
Jianmin YangNational Key Laboratory for Innovation and Transformation of Luobing Theory, Shandong University, Jinan, 250012, China. yangjianminsdu@163.com.

Funding

National Key Research and Development Program of China 2021YFF0501403the Key Research and Development Plan of Shandong Province 2021SFGC0503
6 · The paper itself

Abstract

backgroundThe metabolic score for insulin resistance (METS-IR) is a simple, convenient, and reliable marker for resistance insulin (IR), which has been regarded as a predictor of cardiovascular disease (CVD) and cardiovascular events. However, few studies examined the relationship between METS-IR and prognosis after coronary artery bypass graft (CABG). This study aimed to investigate the potential value of METS-IR as a prognostic indicator for the major adverse cardiovascular events (MACE) in patients after CABG.

method1100 CABG patients were enrolled in the study, including 760 men (69.1%) and 340 women (30.9%). The METS-IR was calculated as Ln [(2 × FPG (mg/dL) + fasting TG (mg/dL)] × BMI (kg/m

resultThe following-up time of this study was 49-101 months (median, 70 months; interquartile range, 62-78 months). During the follow-up period, there were 243 MACEs (22.1%). The probability of cumulative incidence of MACE increased incrementally across the quartiles of METS-IR (log-rank test, p < 0.001). Multivariate Cox regression analysis demonstrated a hazard ratio (95% CI) of 1.97 (1.36-2.86) for MACE in quartile 4 compared with participants in quartile 1. The addition of the METS-IR to the model with fully adjusting variables significantly improved its predictive value [C-statistic increased from 0.702 to 0.720, p < 0.001, continuous net reclassification improvement (NRI) = 0.305, < 0.001, integrated discrimination improvement (IDI) = 0.021, p < 0.001].

conclusionMETS-IR is an independent and favorable risk factor for predicting the occurrence of MACE and can be used as a simple and reliable indicator that can be used for risk stratification and early intervention in patients after CABG.

Indexed as

Coronary artery bypass graft surgeryInsulin resistanceMajor adverse cardiovascular eventsPrognosisThe metabolic score for insulin resistance

Identifiers

PMID37461067
PMCPMC10351175

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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.