Evidence map›Paper›PMID 35995801›Full record

ArticleScientific reports2022

Comparison of the modified Singapore myocardial infarction registry risk score with GRACE 2.0 in predicting 1-year acute myocardial infarction outcomes.

Ching-Hui Sia, Huili Zheng, Junsuk Ko, Andrew Fu-Wah Ho, David Foo, Ling-Li Foo, Patrick Zhan-Yun Lim, Boon Wah Liew, Ping Chai, Tiong-Cheng Yeo and 7 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

17 authors at 10 institutions in 2 countries.

Ching-Hui Sia *Department of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
Huili Zheng *Health Promotion Board, National Registry of Diseases Office, Singapore, Singapore.
Junsuk KoMD Program, Duke-NUS Medical School, Singapore, Singapore.
Andrew Fu-Wah HoSingHealth Duke-NUS Emergency Medicine Academic Clinical Programme, Singapore, Singapore.
David FooTan Tock Seng Hospital, Singapore, Singapore.
Ling-Li FooHealth Promotion Board, National Registry of Diseases Office, Singapore, Singapore.
Patrick Zhan-Yun LimKhoo Teck Puat Hospital, Singapore, Singapore.
Boon Wah LiewChangi General Hospital, Singapore, Singapore.
Ping ChaiDepartment of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
Tiong-Cheng YeoDepartment of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
Huay-Cheem TanDepartment of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
Terrance ChuaDepartment of Cardiology, National Heart Centre Singapore, Singapore, Singapore.
Mark Yan-Yee ChanDepartment of Cardiology, National University Heart Centre Singapore, Singapore, Singapore.
Jack Wei Chieh TanDepartment of Cardiology, National Heart Centre Singapore, Singapore, Singapore.
Keith A A FoxCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
Heerajnarain BulluckLeeds Teaching Hospital NHS trust, Leeds, UK.
Derek J HausenloyYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. d.hausenloy@ucl.ac.uk.
National Heart Centre Singapore · SGNational University of Singapore · SGDuke-NUS Medical School · SGHealth Promotion Board · SGNational University Heart Centre Singapore · SGChangi General Hospital · SGKhoo Teck Puat Hospital · SGLeeds Teaching Hospitals NHS Trust · GBTan Tock Seng Hospital · SGUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk stratification plays a key role in identifying acute myocardial infarction (AMI) patients at higher risk of mortality. However, current AMI risk scores such as the Global Registry of Acute Coronary Events (GRACE) score were derived from predominantly Caucasian populations and may not be applicable to Asian populations. We previously developed an AMI risk score from the national-level Singapore Myocardial Infarction Registry (SMIR) confined to ST-segment elevation myocardial infarction (STEMI) patients and did not include non-STEMI (NSTEMI) patients. Here, we derived a modified SMIR risk score for both STEMI and NSTEMI patients and compared its performance to the GRACE 2.0 score for predicting 1-year all-cause mortality in our multi-ethnic population. The most significant predictor of 1-year all-cause mortality in our population using the GRACE 2.0 score was cardiopulmonary resuscitation on admission (adjusted hazards ratio [HR] 6.50), while the most significant predictor using the SMIR score was age 80-89 years (adjusted HR 7.78). Although the variables used in the GRACE 2.0 score and SMIR score were not exactly the same, the c-statistics for 1-year all-cause mortality were similar between the two scores (GRACE 2.0 0.841 and SMIR 0.865). In conclusion, we have shown that in a multi-ethnic Asian AMI population undergoing PCI, the SMIR score performed as well as the GRACE 2.0 score.

Indexed as

Myocardial InfarctionNon-ST Elevated Myocardial InfarctionPercutaneous Coronary InterventionST Elevation Myocardial InfarctionAged, 80 and overHumansRegistriesRetrospective StudiesRisk AssessmentRisk FactorsSingapore

Identifiers

PMID35995801
PMCPMC9395527
OpenAlexW4292583779

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.