Evidence map›Paper›PMID 39578846›Full record

ArticleDiabetology & metabolic syndrome2024

Prognostic value of serum glycated albumin in acute coronary syndrome patients without standard modifiable cardiovascular risk factors.

Xiaoming Zhang, Yu Du, Qianyun Guo, Xiaoteng Ma, Dongmei Shi, Yujie Zhou

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

Who cites it

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Xiaoming ZhangDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Yu DuDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Qianyun GuoDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Xiaoteng MaDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Dongmei ShiDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China.
Yujie ZhouDepartment of Cardiology, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart Lung and Blood Vessel Disease, Beijing Key Laboratory of Precision Medicine of Coronary Atherosclerotic Disease, Clinical Center for Coronary Heart Disease, Capital Medical University, Beijing, 100029, China. azzyj12@163.com.

Funding

National Key Research and Development Program of China 2022YFC3602500
6 · The paper itself

Abstract

backgroundGlycated albumin (GA) has been demonstrated to be associated with adverse outcomes in patients with acute coronary syndrome (ACS). However, as a specific subgroup of ACS, a significant proportion of patients with ACS without standard modifiable cardiovascular risk factors (SMuRFs) are currently being identified. The prognostic value of serum GA for adverse events in such patients remains unexplored. This study aims to evaluate the prognostic value of GA in predicting adverse outcomes in patients with ACS without SMuRFs.

methodsThis retrospective study involved 1,140 consecutive patients who were diagnosed with ACS without SMuRFs at the Beijing Anzhen Hospital between May 2018 and December 2020 and underwent coronary angiography. Each patient was followed up for a period of 35-66 months after discharge. The primary endpoint of this study was major adverse cardiovascular and cerebrovascular events (MACCEs) that included all-cause mortality, non-fatal myocardial infarction, non-fatal ischemic stroke, and ischemia-driven revascularization.

resultsThe average age of the study participants was 59.55 ± 10.98 years, and men accounted for 61.8%. The average GA level was 14.37 ± 2.42. The median follow-up duration was 48.3 months, during which 220 cases (19.3%) experienced MACCEs. In the fully adjusted model, with GA as a continuous variable, the hazard ratio (HR) for MACCEs in the high GA group was 1.069 (95% confidence interval (CI): 1.008, 1.133), the HR for ischemia-driven revascularization was 1.095 (95% CI: 1.021, 1.175), and the HR for all-cause mortality was 1.155 (95% CI: 1.021, 1.306), all with P values less than 0.05. Similarly, when GA was considered as a categorical variable, in the fully adjusted model, GA was associated with MACCEs, ischemia-driven revascularization, and all-cause mortality, with P values all less than 0.05. The restricted cubic spline curve showed that the relationship between GA and MACCEs was linear (p for non-linear = 0.079; p for overall association = 0.026). Furthermore, GA levels were correlated with poor prognosis in the subgroups of patients.

conclusionSerum GA might be an independent predictor of all-cause death and ischemia-driven revascularization in patients with ACS without SMuRFs.

Indexed as

Acute coronary syndromePrognosisSerum glycated albuminStandard modifiable cardiovascular risk factors

Identifiers

PMID39578846
PMCPMC11583742

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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.