Evidence map›Paper›PMID 32981423›Full record

ArticleJournal of the American Heart Association2020

Sex Differences in Modifiable Risk Factors and Severity of Coronary Artery Disease.

Olivia Manfrini, Jinsung Yoon, Mihaela van der Schaar, Sasko Kedev, Marija Vavlukis, Goran Stankovic, Marialuisa Scarpone, Davor Miličić, Zorana Vasiljevic, Lina Badimon and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01218776 (International Survey of Acute Coronary Syndromes), which is not on this map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 3% 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.

NCT01218776 recruitingnot on this map

International Survey of Acute Coronary Syndromes

TypeobservationalSponsorUniversity of BolognaRan2010 to 2026Enrolled36,000ConditionsAcute Coronary Syndrome, Unstable Angina Pectoris, Myocardial Infarction, Coronary Disease
3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Microvascular Dysfunction in MINOCA: Still a Moving Target.Journal of the American Heart Association · 2026
    Article
  4. Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Epidemiology of Rounding Error.Medicina (Kaunas, Lithuania) · 2024
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  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

12 authors at 7 institutions in 7 countries.

Olivia ManfriniDepartment of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy.
Jinsung YoonDepartment of Electrical and Computer Engineering University of California Los Angeles CA.
Mihaela van der SchaarCambridge Centre for Artificial Intelligence in Medicine Department of Applied Mathematics and Theoretical Physics and Department of Population Health University of Cambridge Cambridge United Kingdom.
Sasko KedevUniversity Clinic of Cardiology Medical Faculty University "Ss. Cyril and Methodius" Skopje Macedonia.
Marija VavlukisUniversity Clinic of Cardiology Medical Faculty University "Ss. Cyril and Methodius" Skopje Macedonia.
Goran StankovicClinic of Cardiology University Clinical Centre of Serbia Belgrade Serbia.
Marialuisa ScarponeDepartment of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy.
Davor MiličićDepartment for Cardiovascular Diseases University Hospital Center Zagreb University of Zagreb Croatia.
Zorana VasiljevicMedical Faculty University of Belgrade Serbia.
Lina BadimonCardiovascular Research Program ICCC, IR-IIBSant Pau, Hospital de la Santa Creu i Sant Pau, CiberCV-Institute Carlos III Barcelona Spain.
Edina CenkoDepartment of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy.
Raffaele BugiardiniDepartment of Experimental, Diagnostic and Specialty Medicine University of Bologna Bologna Italy.
University of Bologna · ITSs. Cyril and Methodius University in Skopje · MKUniversity of Belgrade · RSHospital de Sant Pau · ESUniversity Hospital Centre Zagreb · HRUniversity of California, Los Angeles · USUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background It is still unknown whether traditional risk factors may have a sex-specific impact on coronary artery disease (CAD) burden. Methods and Results We identified 14 793 patients who underwent coronary angiography for acute coronary syndromes in the ISACS-TC (International Survey of Acute Coronary Syndromes in Transitional Countries; Clini​calTr​ials.gov, NCT01218776) registry from 2010 to 2019. The main outcome measure was the association between traditional risk factors and severity of CAD and its relationship with 30-day mortality. Relative risk (RR) ratios and 95% CIs were calculated from the ratio of the absolute risks of women versus men using inverse probability of weighting. Estimates were compared by test of interaction on the log scale. Severity of CAD was categorized as obstructive (≥50% stenosis) versus nonobstructive CAD. The RR ratio for obstructive CAD in women versus men among people without diabetes mellitus was 0.49 (95% CI, 0.41-0.60) and among those with diabetes mellitus was 0.89 (95% CI, 0.62-1.29), with an interaction by diabetes mellitus status of

Indexed as

AgedCoronary Artery DiseaseCoronary StenosisFemaleHumansHypercholesterolemiaHypertensionMaleMiddle AgedRiskRisk FactorsSeverity of Illness IndexSex FactorsSmokingconventional risk factorsdiabetes mellitusobstructive coronary artery diseasesex differencessmoking

Identifiers

PMID32981423
PMCPMC7792418
OpenAlexW3089182767

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.