Evidence map›Paper›PMID 35846410›Full record

ArticleArchives of medical sciences. Atherosclerotic diseases2022

Clinical variables for predicting type-1 and type-2 non-ST segment elevation myocardial infarction in those presenting with ischemic symptoms.

Edward T Ha, Brandon Ng, Abeer Afshaq, Eitan Fleischman, Batool Hosain, Roohi Sharma, Theodore J Gaeta, Manish Parikh, Stephen J Peterson, Wilbert S Aronow

Open access · diamondAbstract read
In one paragraph

Article in Archives of medical sciences. Atherosclerotic diseases, 2022. 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
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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, 0 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

10 authors at 4 institutions in 1 country.

Edward T HaNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Brandon NgStony Brook University Hospital, Stony Brook, USA.
Abeer AfshaqNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Eitan FleischmanNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Batool HosainNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Roohi SharmaNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Theodore J GaetaNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Manish ParikhNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Stephen J PetersonNewYork Presbyterian-Brooklyn Methodist Hospital, NewYork, USA.
Wilbert S AronowNew York Medical College, NewYork, USA.
NewYork–Presbyterian Brooklyn Methodist Hospital · USCornell University · USStony Brook University Hospital · USWestchester Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The accuracy of detecting myocardial infarction (MI) has greatly improved with the advent of more sensitive assays, and this has led to etiologic subtyping. Distinguishing between type 1 and type 2 non-ST-segment elevation myocardial infarction (NSTEMI) early in the clinical course allows for the most appropriate advanced diagnostic procedures and most efficacious treatments. The purpose of this study was to investigate the predictive effect of demographic and clinical variables on predicting NSTEMI subtypes in patients presenting with ischemic symptoms. Material and methods: We performed a single institution retrospective cohort study of patients who presented to the emergency department (ED) with ischemic signs and symptoms consistent with non-ST-segment myocardial infarction, for whom results of coronary angiography were available. We analyzed demographic, laboratory, echocardiography and angiography data to determine predictors of NSTEMI sub-types. Results: Five hundred and forty-six patients were enrolled; 426 patients were found on coronary angiography to have type 1 acute MI (T1AMI), whereas 120 patients had type 2 acute MI (T2AMI). Age (OR per year = 1.03 (1.00, 1.05), Conclusions: Key clinical variables such as age, prior MI, L/H ratio, percentage change in troponin I, and presence of RWMA on echocardiogram may be utilized as significant predictors of T1AMI in patients presenting with ischemic symptoms to the ED.

Indexed as

acute myocardial infarctionlipid rationon-ST-segment myocardial infarctionpercutaneous coronary interventionprediction algorithmregional wall motion abnormalitiestroponin

Identifiers

PMID35846410
PMCPMC9278173
OpenAlexW4284883748

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.