Evidence map›Paper›PMID 34743565›Full record

ArticleJournal of the American Heart Association2021

Graded Coronary Risk Stratification for Emergency Department Patients With Chest Pain: A Controlled Cohort Study.

Dustin G Mark, Jie Huang, Dustin W Ballard, Mamata V Kene, Dana R Sax, Uli K Chettipally, James S Lin, Sean C Bouvet, Dale M Cotton, Megan L Anderson and 7 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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 9 institutions in 1 country.

Dustin G MarkDepartment of Emergency Medicine Kaiser Permanente Oakland Medical Center Oakland CA.ORCID 0000-0002-5001-7228
Jie HuangDivision of Research Kaiser Permanente Northern California Oakland CA.
Dustin W BallardDivision of Research Kaiser Permanente Northern California Oakland CA.ORCID 0000-0002-5801-8794
Mamata V KeneDepartment of Emergency Medicine Kaiser Permanente San Leandro Medical Center San Leandro CA.ORCID 0000-0001-7493-8438
Dana R SaxDepartment of Emergency Medicine Kaiser Permanente Oakland Medical Center Oakland CA.ORCID 0000-0002-9061-7746
Uli K ChettipallyDepartment of Emergency Medicine Kaiser Permanente South San Francisco Medical Center South San Francisco CA.
James S LinDepartment of Emergency Medicine Kaiser Permanente Santa Clara Medical Center Santa Clara CA.
Sean C BouvetDepartment of Emergency Medicine Kaiser Permanente Walnut Creek Medical Center Walnut Creek CA.
Dale M CottonDepartment of Emergency Medicine Kaiser Permanente South Sacramento Medical Center Sacramento CA.
Megan L AndersonDepartment of Emergency Medicine Kaiser Permanente Roseville Medical Center Roseville CA.
Ian D McLachlanDepartment of Emergency Medicine Kaiser Permanente San Francisco Medical Center San Francisco CA.
Laura E SimonUniversity of California San Diego School of Medicine San Diego CA.ORCID 0000-0002-4146-4202
Judy ShanDivision of Research Kaiser Permanente Northern California Oakland CA.
Adina S RauchwergerDivision of Research Kaiser Permanente Northern California Oakland CA.ORCID 0000-0002-6329-6836
David R VinsonDivision of Research Kaiser Permanente Northern California Oakland CA.ORCID 0000-0001-6559-1858
Mary E ReedDivision of Research Kaiser Permanente Northern California Oakland CA.ORCID 0000-0002-8203-1016
Kaiser Permanente CREST Network Investigators [Link]
Kaiser Permanente · USKaiser Permanente San Francisco Medical Center · USKaiser Permanente San Leandro Medical Center · USKaiser Permanente Santa Clara Medical Center · USKaiser Permanente South Sacramento Medical Center · USKaiser Permanente South San Francisco Medical Center · USKaiser Permanente Walnut Creek Medical Center · USKaiser Permanente Roseville Medical Center · USUniversity of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Resource utilization among emergency department (ED) patients with possible coronary chest pain is highly variable. Methods and Results Controlled cohort study amongst 21 EDs of an integrated healthcare system examining the implementation of a graded coronary risk stratification algorithm (RISTRA-ACS [risk stratification for acute coronary syndrome]). Thirteen EDs had access to RISTRA-ACS within the electronic health record (RISTRA sites) beginning in month 24 of a 48-month study period (January 2016 to December 2019); the remaining 8 EDs served as contemporaneous controls. Study participants had a chief complaint of chest pain and serum troponin measurement in the ED. The primary outcome was index visit resource utilization (observation unit or hospital admission, or 7-day objective cardiac testing). Secondary outcomes were 30-day objective cardiac testing, 60-day major adverse cardiac events (MACE), and 60-day MACE-CR (MACE excluding coronary revascularization). Difference-in-differences analyses controlled for secular trends with stratification by estimated risk and adjustment for risk factors, ED physician and facility. A total of 154 914 encounters were included. Relative to control sites, 30-day objective cardiac testing decreased at RISTRA sites among patients with low (≤2%) estimated 60-day MACE risk (-2.5%, 95% CI -3.7 to -1.2%,

Indexed as

Acute Coronary SyndromeElectrocardiographyChest PainCohort StudiesEmergency Service, HospitalHumansRisk Assessmentacute coronary syndromediagnostic testingprognosis

Identifiers

PMID34743565
PMCPMC8751925
OpenAlexW3211625929

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.