Evidence map›Paper›PMID 39246582›Full record

ArticleFrontiers in cardiovascular medicine2024

Clinical characteristics and long-term prognosis of female patients with acute coronary syndrome.

Mar Rocamora-Horrach, Óscar M Peiró, Alfredo Bardají, Javier Flores-Benítez, Miguel Ivorra-Cámara, Anna Carrasquer, José Luis Ferreiro

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. 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
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Mar Rocamora-HorrachDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Óscar M PeiróDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Alfredo BardajíDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Javier Flores-BenítezDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Miguel Ivorra-CámaraDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
Anna CarrasquerDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.
José Luis FerreiroDepartment of Cardiology, Joan XXIII University Hospital, Tarragona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiovascular disease has traditionally been studied predominantly in men, but understanding its manifestations in women is crucial for effective management. This study aims to evaluate the long-term prognosis of female patients with acute coronary syndrome (ACS) within a tertiary hospital setting in Spain. Methods: Retrospective observational study based on a cohort of consecutive hospitalized patients with ACS from January 2009 to December 2014. Data on demographics, risk factors, treatment, and outcomes were collected, with a median follow-up of 9.2 years. Results: Women with ACS, constituting 27.3% of 2,330 patients, were older and had a higher prevalence of cardiovascular risk factors such as obesity, hypertension, and diabetes mellitus compared to men. They presented with more non-ST-segment elevation myocardial infarction and underwent less coronary angiography. Female patients were also less likely to be treated with acetylsalicylic acid, a second antiplatelet drug, or statins. Despite initial higher mortality rates [hazard ratio (HR) 1.30; 95% confidence interval (CI) 1.13-1.49; Conclusions: Women with ACS are more comorbid, but after adjustments, female sex appears to be a protective factor that confers a better long-term prognosis.

Indexed as

acute coronary syndromecardiovascular diseaseshealth equityprognosiswomen’s health

Identifiers

PMID39246582
PMCPMC11377307

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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.