Evidence map›Paper›PMID 37889195›Full record

ArticleJournal of the American Heart Association2023

Validating the SMART2 Score in a Racially Diverse High-Risk Nationwide Cohort of Patients Receiving Coronary Artery Bypass Grafting.

Salil V Deo, Andrew Althouse, Sadeer Al-Kindi, David A McAllister, Ariela Orkaby, Yakov E Elgudin, Stephen Fremes, Danny Chu, Frank L J Visseren, Jill P Pell and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
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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

11 authors at 8 institutions in 4 countries.

Salil V DeoLouis Stokes Cleveland Veteran Affairs Medical Center Cleveland OH.ORCID 0000-0002-4729-1461
Andrew AlthouseDepartment of Internal Medicine University of Pittsburgh Pittsburgh PA.ORCID 0000-0002-8654-5014
Sadeer Al-KindiCase School of Medicine, Case Western Reserve University Cleveland OH.ORCID 0000-0002-1122-7695
David A McAllisterSchool of Health and Wellbeing University of Glasgow Glasgow UK.
Ariela OrkabyNew England Geriatric Research, Education, and Clinical Center, VA Boston, Healthcare System Boston MA.ORCID 0000-0002-4297-6306
Yakov E ElgudinLouis Stokes Cleveland Veteran Affairs Medical Center Cleveland OH.ORCID 0000-0002-5249-1820
Stephen FremesDepartment of Surgery University of Toronto Toronto Ontario Canada.ORCID 0000-0003-1723-3049
Danny ChuDepartment of Cardiac Surgery, Pittsburgh VA Medical Center Pittsburgh PA.ORCID 0000-0002-2183-6072
Frank L J VisserenDepartment of Vascular Medicine University Medical Center Utrecht the Netherlands.ORCID 0000-0003-3951-5223
Jill P PellSchool of Health and Wellbeing University of Glasgow Glasgow UK.
Naveed SattarSchool of Cardiovascular and Metabolic Health University of Glasgow Glasgow UK.ORCID 0000-0002-1604-2593
University of Glasgow · GBLouis Stokes Cleveland VA Medical Center · USBrigham and Women's Hospital · USUniversity Hospitals of Cleveland · USUniversity Medical Center Utrecht · NLUniversity of Pittsburgh · USUniversity of Pittsburgh Medical Center · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background We tested the potential of the Secondary Manifestations of Arterial Disease (SMART2) risk score for use in patients undergoing coronary artery bypass grafting. Methods and Results We conducted an external validation of the SMART2 score in a racially diverse high-risk national cohort (2010-2019) that underwent isolated coronary artery bypass grafting. We calculated the preoperative SMART2 score and modeled the 5-year major adverse cardiovascular event (cardiovascular mortality+myocardial infarction+stroke) incidence. We evaluated SMART2 score discrimination at 5 years using c-statistic and calibration with observed/expected ratio and calibration plots. We analyzed the potential clinical benefit using decision curves. We repeated these analyses in clinical subgroups, diabetes, chronic kidney disease, and polyvascular disease, and separately in White and Black patients. In 27 443 (mean age, 65 years; 10% Black individuals) US veterans undergoing coronary artery bypass grafting (2010-2019) nationwide, the 5-year major adverse cardiovascular event rate was 25%; 27% patients were in high predicted risk (>30% 5-year major adverse cardiovascular events). SMART2 score discrimination (c-statistic: 64) was comparable to the original study (c-statistic: 67) and was best in patients with chronic kidney disease (c-statistic: 66). However, it underpredicted major adverse cardiovascular event rates in the whole cohort (observed/expected ratio, 1.45) as well as in all studied subgroups. The SMART2 score performed better in White than Black patients. On decision curve analysis, the SMART2 score provides a net benefit over a wide range of risk thresholds. Conclusions The SMART2 model performs well in a racially diverse coronary artery bypass grafting cohort, with better predictive capabilities at the upper range of baseline risk, and can therefore be used to guide secondary preventive pharmacotherapy.

Indexed as

Coronary Artery DiseaseMyocardial InfarctionRenal Insufficiency, ChronicAgedCoronary Artery BypassHumansRisk AssessmentRisk FactorsTreatment Outcomeatherosclerotic vascular diseasecoronary artery bypass graftingcoronary artery diseaseexternal validationmyocardial infarctionrisk prediction

Identifiers

PMID37889195
PMCPMC10727407
OpenAlexW4387966609

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.