Evidence map›Paper›PMID 36859269›Full record

ArticleCardiovascular diabetology2023

Prediabetes and all-cause mortality in young patients undergoing coronary artery angiography: a multicenter cohort study in China.

Yibo He, Hongyu Lu, Yihang Ling, Jin Liu, Sijia Yu, Ziyou Zhou, Tian Chang, Yong Liu, Shiqun Chen, Jiyan Chen

Erratum issuedOpen access · goldAbstract readMulticenter Study
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
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  5. Prediabetes is Associated with Worse Long-Term Outcomes in Young Patients with Acute Coronary Syndrome.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 1 country.

Yibo He *Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Hongyu Lu *Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Yihang Ling *Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Jin LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Sijia YuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Ziyou ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Tian ChangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.
Yong LiuDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. liuyong@gdph.org.cn.
Shiqun ChenDepartment of Guangdong Provincial Key Laboratory of Coronary Heart Disease Prevention, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, 510080, China. shiqunchen@126.com.
Jiyan ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, China. chenjiyandr@126.com.
Guangdong Provincial People's Hospital · CNSouthern Medical University · CNGuangdong Academy of Medical Sciences · CNSouth China University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of prediabetes is increasing in young adults and patients undergoing coronary angiography. However, whether prediabetes is a considerable risk factor for all-cause mortality remains undetermined in young patients undergoing coronary angiography.

methodsIn this study, we retrospectively included 8868 young patients (men aged < 45 years, women aged < 55 years) who underwent coronary angiography (CAG). Patients were categorized as normoglycemic, prediabetes and diabetes according to the HbA1c level or documented history of diabetes. The association of all-cause mortality with diabetes and prediabetes was detected by Cox proportional hazards regression analysis.

resultsA total of 3240 (36.5%) among 8868 young patients receiving CAG were prediabetes and 2218 (25.0%) were diabetes. 728 patients died during a median follow-up of 4.92 years. Compared to the normoglycemic group, prediabetes increased the risk of all-cause mortality in young CAG patients by 24%(adjusted HR: 1.24, 95% CI: 1.04-1.49, p = 0.019) and diabetes increased the risk of all-cause mortality by 46%(adjusted HR:1.46, 95% CI:1.2-1.79, p < 0.001). Subgroup analysis showed that diabetes and prediabetes increased the risk of death mainly in patients without comorbidities.

conclusionPrediabetes accounts for more than one-third of the young adults undergoing CAG and was associated with an increased risk of all-cause mortality, active prevention strategy should be considered for these patients.

Indexed as

Prediabetic StateChinaCoronary AngiographyCoronary VesselsFemaleHumansMaleRetrospective StudiesYoung AdultCoronary artery angiographyMortalityPrediabetesYoung adults

Identifiers

PMID36859269
PMCPMC9979507
OpenAlexW4322739855

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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.