Evidence map›Paper›PMID 35036143›Full record

ArticlePeerJ2022

Development and validation of a novel risk score to predict 5-year mortality in patients with acute myocardial infarction in China: a retrospective study.

Yan Tang, Yuanyuan Bai, Yuanyuan Chen, Xuejing Sun, Yunmin Shi, Tian He, Mengqing Jiang, Yujie Wang, Mingxing Wu, Zhiliu Peng and 5 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

15 authors at 3 institutions in 1 country.

Yan Tang *Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanyuan Bai *Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yuanyuan ChenDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Xuejing SunDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yunmin ShiDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Tian HeDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Mengqing JiangDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yujie WangDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Mingxing WuDepartment of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China.
Zhiliu PengDepartment of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China.
Suzhen LiuDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Weihong JiangDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yao LuCenter of Clinical Pharmacology, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Hong YuanDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Jingjing CaiDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
Third Xiangya Hospital · CNCentral South University · CNXiangyang Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disease burden from ischaemic heart disease remains heavy in the Chinese population. Traditional risk scores for estimating long-term mortality in patients with acute myocardial infarction (AMI) have been developed without sufficiently considering advances in interventional procedures and medication. The goal of this study was to develop a risk score comprising clinical parameters and intervention advances at hospital admission to assess 5-year mortality in AMI patients in a Chinese population.

methodsWe performed a retrospective observational study on 2,722 AMI patients between January 2013 and December 2017. Of these patients, 1,471 patients from Changsha city, Hunan Province, China were assigned to the development cohort, and 1,251 patients from Xiangtan city, Hunan Province, China, were assigned to the validation cohort. Forty-five candidate variables assessed at admission were screened using least absolute shrinkage and selection operator, stepwise backward regression, and Cox regression methods to construct the C2ABS2-GLPK score, which was graded and stratified using a nomogram and X-tile. The score was internally and externally validated. The C-statistic and Hosmer-Lemeshow test were used to assess discrimination and calibration, respectively.

resultsFrom the 45 candidate variables obtained at admission, 10 potential predictors, namely, including

conclusionThe C2ABS2-GLPK score is a Chinese population-based risk assessment tool to predict 5-year mortality in AMI patients based on 10 variables that are routinely assessed at admission. This score can assist physicians in stratifying high-risk patients and optimizing emergency medical interventions to improve long-term survival in patients with AMI.

Indexed as

Acute myocardial infarctionMortalityRisk assessmentRisk score

Identifiers

PMID35036143
PMCPMC8740514
OpenAlexW4206255362

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.