Evidence map›Paper›PMID 29476027›Full record

ArticleBMJ open2018

Sex differences in presenting symptoms of acute coronary syndrome: the EPIHeart cohort study.

Carla Araújo, Olga Laszczyńska, Marta Viana, Filipa Melão, Ana Henriques, Andreia Borges, Milton Severo, Maria Júlia Maciel, Ilídio Moreira, Ana Azevedo

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Gender disparities in coronary artery disease: a review of factors influencing clinical outcomes.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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.

Carla AraújoEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.ORCID 0000-0003-4279-9570
Olga LaszczyńskaEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Marta VianaEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Filipa MelãoServiço de Cardiologia, Centro Hospitalar São João, EPE, Porto, Portugal.
Ana HenriquesEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Andreia BorgesEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Milton SeveroEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
Maria Júlia MacielServiço de Cardiologia, Centro Hospitalar São João, EPE, Porto, Portugal.
Ilídio MoreiraServiço de Cardiologia, Centro Hospitalar de Trás-os-Montes e Alto Douro, EPE, Hospital de São Pedro, Vila Real, Portugal.
Ana AzevedoEPIUnit-Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.
i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto · PTHospital de São João · PTUnidade Local de Saúde de Trás-os-Montes e Alto Douro · PTUniversidade do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrompt diagnosis of acute coronary syndrome (ACS) remains a challenge, with presenting symptoms affecting the diagnosis algorithm and, consequently, management and outcomes. This study aimed to identify sex differences in presenting symptoms of ACS.

designData were collected within a prospective cohort study (EPIHeart).

settingPatients with confirmed diagnosis of type 1 (primary spontaneous) ACS who were consecutively admitted to the Cardiology Department of two tertiary hospitals in Portugal between August 2013 and December 2014.

participantsPresenting symptoms of 873 patients (227 women) were obtained through a face-to-face interview. OUTCOME MEASURES: Typical pain was defined according to the definition of cardiology societies. Clusters of symptoms other than pain were identified by latent class analysis. Logistic regression was used to quantify differences in presentation of ACS symptoms by sex.

resultsChest pain was reported by 82% of patients, with no differences in frequency or location between sexes. Women were more likely to feel pain with an intensity higher than 8/10 and this association was stronger for patients aged under 65 years (interaction P=0.028). Referred pain was also more likely in women, particularly pain referred to typical and atypical locations simultaneously. The multiple symptoms cluster, which was characterised by a high probability of presenting with all symptoms, was almost fourfold more prevalent in women (3.92, 95% CI 2.21 to 6.98). Presentation with this cluster was associated with a higher 30-day mortality rate adjusted for the GRACE V.2.0 risk score (4.9% vs 0.9% for the two other clusters, P<0.001).

conclusionsWhile there are no significant differences in the frequency or location of pain between sexes, women are more likely to feel pain of higher intensity and to present with referred pain and symptoms other than pain. Knowledge of these ACS presentation profiles is important for health policy decisions and clinical practice.

Indexed as

Sex FactorsAcute Coronary SyndromeAgedAged, 80 and overChest PainFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisPortugalPrevalenceProspective StudiesRisk FactorsSeverity of Illness Indexacute coronary syndromediagnosissexwomen

Identifiers

PMID29476027
PMCPMC5855399
OpenAlexW2793683954

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.