Evidence map›Paper›PMID 33099674›Full record

ArticleAging clinical and experimental research2021

Chest pain and acute coronary syndrome in octogenarians admitted to the Emergency Department.

James Samir Díaz-Betancur, Juan Manuel Martínez, Juan Gabriel Zapata, Isabel Marín-Orozco

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Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 79% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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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

4 authors at 2 institutions in 1 country.

James Samir Díaz-BetancurInstituto de Enfermedades Cardiovasculares, Auna Clínica Las Américas, Diag 75B No. 2 A, 80/140, Medellin, Colombia. james.diaz@lasamericas.com.co.ORCID http://orcid.org/0000-0002-7764-8097
Juan Manuel MartínezUnidad de Cuidado Especial Cardiovascular, Auna Clínica Las Américas, Medellín, Colombia.
Juan Gabriel ZapataLaboratorio Clínico, Auna Clínica Las Américas, Medellín, Colombia.
Isabel Marín-OrozcoUniversidad de Antioquia, Medellín, Colombia.
Instituto de Cancerología Las Américas · COUniversidad de Antioquia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough chest pain and acute coronary syndrome (ACS) are among the most common complaints in the Emergency Departments (ED), little is known about this topic in the octogenarian population.

objectivesThis study aimed to describe the clinical presentation and to evaluate survival time according to the ACS type in a group of 80-year-old or over patients admitted for chest pain to an ED.

methodsPatients were classified according to the discharge diagnosis. A multivariable Cox regression analysis was done to assess the association between ACS type and mortality with the non-ACS chest pain group as the reference category.

resultsACS was diagnosed in 170 of the 391 patients analyzed and 51% of ACS patients were female. Within the ACS patients, 18.8% presented STEMI, 57% NSTEMI, and 24% unstable angina (UA). Most of the patients were treated conservatively. In the adjusted analysis, the incidence of death at 40 months of follow-up was higher in patients with STEMI (HR 3.24; CI 1.59-6.56) than NSTEMI (HR 2.53; CI 1.56-4.11). There was no difference between patients with UA and the non-ACS group (HR 0.64; CI 0.26-1.58), and myocardial revascularization was associated with reduced mortality risk (HR 0.45; CI 0.22-0.92).

conclusionsA high prevalence of ACS was found among octogenarians admitted to the ED with chest pain, and the ACS type behaved as an independent predictor of mortality. Patients with UA diagnosis had a similar prognosis to patients with non-ACS chest pain, but this needs to be demonstrated by a prospective study.

Indexed as

Acute Coronary SyndromeAged, 80 and overAngina, UnstableChest PainEmergency Service, HospitalFemaleHumansProspective StudiesAcute coronary syndromeChest painMortalityMyocardial infarctionOctogenarians

Identifiers

PMID33099674
OpenAlexW3093934216

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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.