Evidence map›Paper›PMID 26285575›Full record

Observational studyCardiovascular diabetology2015

Adjustment of the GRACE score by HemoglobinA1c enables a more accurate prediction of long-term major adverse cardiac events in acute coronary syndrome without diabetes undergoing percutaneous coronary intervention.

Xiao-Jun Liu, Zhao-Fei Wan, Na Zhao, Ya-Ping Zhang, Lan Mi, Xin-Hong Wang, Dong Zhou, Yan Wu, Zu-Yi Yuan

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cardiovascular diabetology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

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  16. Hemoglobin ACardiovascular diabetology · 2017
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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 7 institutions in 1 country.

Xiao-Jun LiuDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. liuxjchina@163.com.
Zhao-Fei WanFirst Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China. 427pingping@163.com.
Na ZhaoFirst Department of Cardiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China. zhaona@bjmu.edu.cn.
Ya-Ping ZhangDepartment of Ophthalmology Medicine, Xi'an IV People's Hospital, Xi'an, Shaanxi, China. Zypbetter@163.Com.
Lan MiPeking University Cancer Hospital and Institute, Beijing, China. jiaguwentt@sina.com.
Xin-Hong WangDepartment of Cardiovascular Medicine, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China. yzylaoban@163.com.
Dong ZhouDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. 1099579903@qq.com.
Yan WuDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. 26169966@qq.com.
Zu-Yi YuanDepartment of Cardiovascular Medicine, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, China. zuyiyuan@mail.xjtu.edu.cn.
First Affiliated Hospital of Xi'an Jiaotong University · CNPeking University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CNShaanxi Provincial People's Hospital · CNShaanxi Provincial People's Hospital · CNShanxi Medical University · CNXi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Global Registry of Acute Coronary Events (GRACE) risk score is widely recommended for risk assessment in patients with acute coronary syndrome (ACS). Chronic hyperglycemia [hemoglobinA1c (HbA1c)] can independently predict major adverse cardiac events (MACEs) in patients with ACS. We investigated whether the prediction of MACEs with the GRACE score could be improved with the addition of HbA1c content in ACS patients without diabetes mellitus (DM) undergoing percutaneous coronary intervention (PCI).

methodsWe enrolled 549 ACS patients without DM who underwent PCI. The GRACE score and HbA1c content were determined on admission. Correlation was analyzed by Spearman's rank correlation. Cumulative MACE curve was calculated using the Kaplan-Meier method. Multivariate Cox regression was used to identify predictors of MACEs. Additionally, the predictive value of HbA1c content alone and combined with GRACE score was estimated by the area under the receiver-operating characteristic curve (AUC), continuous net reclassification improvement (NRI) and integrated discrimination improvement (IDI).

resultsDuring a median of 42.3 months (interquartile range 39.3-44.2 months), 16 (2.9%) were lost to follow-up, and patients experienced 69 (12.9%) MACEs: 51 (9.6%) all-cause deaths and 18 (3.4%) nonfatal myocardial infarction cases. The GRACE score was positively associated with HbA1c content. Multivariate Cox analysis showed that both GRACE score and HbA1c content were independent predictors of MACEs (hazard ratio 1.030; 95% CI 1.020-1.040; p < 0.001; 3.530; 95% CI 1.927-6.466; p < 0.001, respectively). Furthermore, Kaplan-Meier analysis demonstrated increased risk of MACEs with increasing HbA1c content (log-rank 33.906, p < 0.001). Adjustment of the GRACE risk estimate by HbA1c improved the predictive value of the GRACE score [increase in AUC from 0.75 for the GRACE score to 0.80 for the GRACE score plus HbA1c, p = 0.012; IDI = 0.055, p < 0.001; NRI (>0) = 0.70, p < 0.001].

conclusionsHbA1c content is positively associated with GRACE risk score and their combination further improved the risk stratification for ACS patients without DM undergoing PCI.

Indexed as

Decision Support TechniquesAcute Coronary SyndromeAgedArea Under CurveBiomarkersChinaChi-Square DistributionFemaleGlycated HemoglobinHumansHyperglycemiaKaplan-Meier EstimateMaleMiddle AgedMultivariate AnalysisMyocardial InfarctionBiomarkersGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID26285575
PMCPMC4541750
OpenAlexW2142404491

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.