Evidence map›Paper›PMID 36094686›Full record

ArticleJournal of thrombosis and thrombolysis2022

Long-term outcomes in acute coronary syndrome patients without standard modifiable risk factors: a multi-ethnic retrospective cohort study Of 5400 asian patients.

Gwyneth Kong, Nicholas W S Chew, Cheng Han Ng, Yip Han Chin, Rebecca Zeng, Roger Foo, Koo Hui Chan, Adrian Fatt-Hoe Low, Chi-Hang Lee, Mark Yan-Yee Chan and 3 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of thrombosis and thrombolysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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

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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sex differences in survival following acute coronary syndrome with and without standard modifiable risk factors.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Pooled it
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  18. Editorial: The heart of NAFLD.Frontiers in medicine · 2023
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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

13 authors.

Gwyneth Kong *Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Nicholas W S Chew *Department of Cardiology, National University Heart Centre, National University Health System, 5 Lower Kent Ridge Road, Singapore, 119074, Singapore. nicholas_ws_chew@nuhs.edu.sg.ORCID http://orcid.org/0000-0002-0640-0430
Cheng Han NgYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yip Han ChinYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Rebecca ZengYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Roger FooYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Koo Hui ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Adrian Fatt-Hoe LowYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Chi-Hang LeeYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Mark Yan-Yee ChanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Tiong-Cheng YeoYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Huay-Cheem TanYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Poay-Huan LohYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A sizeable number of patients without standard modifiable cardiovascular risk factors (SMuRFs), such as hypertension, diabetes, hypercholesterolemia and smoking, suffer from acute coronary syndrome (ACS). These SMuRF-less patients have high short-term morbidity and mortality. We compared both short- and long-term outcomes of SMuRF-less and SMuRF ACS patients in a multi-ethnic Asian cohort.This was a retrospective study of patients with first ACS from 2011 to 2017. The primary outcome was long-term all-cause mortality. Secondary outcomes were 30-day all-cause mortality, cardiac-mortality, unplanned cardiac readmission, cardiogenic shock, heart failure, and stroke. Subgroup analysis was carried out by sex and ACS type.Of 5400 patients, 8.6% were SMuRF-less. The median follow-up time was 6.3 years (interquartile range [IQR] 4.2-8.2 years). SMuRF-less patients were younger and tended to present with ST-segment elevation myocardial infarction (STEMI). They were more likely to require inotropic support, intubation, and have cardiac arrest. At 30 days, SMuRF-less patients had higher rates of all-cause mortality, cardiac-related mortality and cardiogenic shock, but lower rates of heart failure. At 6 years, all-cause mortality was similar in both groups (18.0% versus 17.1% respectively, p = 0.631). Kaplan-Meier curves showed increased early mortality in the SMuRF-less group, but the divergence in survival curves was no longer present in the long-term. The absence of SMuRF was an independent predictor of mortality, regardless of sex or ACS type.In a multi-ethnic cohort of patients with ACS, SMuRF-less patients were observed to have higher mortality than SMuRF patients during the early stages which was attenuated over time.

Indexed as

Acute Coronary SyndromeHeart FailureST Elevation Myocardial InfarctionCohort StudiesHumansRetrospective StudiesRisk FactorsShock, CardiogenicTreatment OutcomeAcute Coronary SyndromePrognostic outcomesStandard modifiable cardiovascular risk factors

Identifiers

What OpenQuestion holds

Textmetadata
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.