Evidence mapPaperPMID 42568448Full record

ArticleFrontiers in nutrition2026

Prognostic value of the cardiometabolic index for cardiovascular outcomes in patients with type 2 diabetes mellitus.

Cheng Zeng, Maojun Liu, Peiqi Tang, Ying Xin, Xinqun Hu

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Cheng ZengDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Maojun LiuDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Peiqi TangDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Ying XinDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Xinqun HuDepartment of Cardiology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The Cardiometabolic Index (CMI) serves as a measurable indicator capable of concurrently reflecting the presence of metabolic disorders and the status of central obesity. The aim of this study is to evaluate the association between the CMI and the risk of developing major adverse cardiovascular events (MACEs) and all-cause mortality in patients with type 2 diabetes mellitus (T2DM). Methods: This Results: Over a median follow-up period of 8.82 years, 1,791 (17.74%) participants experienced MACEs, and 1,914 (18.96%) all-cause mortality were recorded. After adjusting for traditional cardiovascular risk factors, multivariate Cox proportional hazards regression analysis demonstrated a significant association between CMI and the risk of MACEs and all-cause mortality. Incorporating CMI into the conventional risk model improved the predictive efficacy for MACEs and all-cause mortality. Conclusions: Elevated CMI is associated with an increased risk of MACEs and all-cause mortality in patients with T2DM. Furthermore, CMI improves the predictive performance for MACEs and all-cause mortality risk in this patient population.

Indexed as

all-cause mortalitycardiometabolic indexcardiovascular outcomemajor adverse cardiovascular eventstype 2 diabetes mellitus

Identifiers

PMID42568448
PMCPMC13447206

What Socratic holds

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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 Socratic graph.