Evidence map›Paper›PMID 39158095›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2024

Sex differences in prevalence and characteristics of imaging-detected atherosclerosis: a population-based study.

Eva Swahn, Sofia Sederholm Lawesson, Joakim Alfredsson, Mats Fredrikson, Oskar Angerås, Olov Duvernoy, Gunnar Engström, Maria J Eriksson, Erika Fagman, Bengt Johansson and 16 more

Abstract readComparative Study
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Observational
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  17. Review
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  19. Carotid plaque characteristics and their association with cardiovascular risk factors and coronary atherosclerosis in a middle-aged population.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Eva SwahnDepartment of Cardiology, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0002-2608-2062
Sofia Sederholm LawessonDepartment of Cardiology, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0002-4776-0870
Joakim AlfredssonDepartment of Cardiology, Linköping University, SE-58185 Linköping, Sweden.ORCID 0000-0002-1415-7178
Mats FredriksonForum Östergötland, Faculty of Medicine and Health Sciences, Linköping University, Linköping, Sweden.
Oskar AngeråsDepartment of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Olov DuvernoyDepartment of Surgical Sciences, Section of Radiology, Uppsala University, Uppsala, Sweden.
Gunnar EngströmDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.ORCID 0000-0002-8618-9152
Maria J ErikssonDepartment of Molecular Medicine and Surgery, Karolinska Institute, Stockholm, Sweden.
Erika FagmanDepartment of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden.
Bengt JohanssonDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.ORCID 0000-0003-0976-6910
Linda JohnsonDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.ORCID 0000-0002-2249-8220
Nina JohnstonDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.
Johan LjungbergDepartment of Public Health and Clinical Medicine, Medicine and Heart Centre, Umeå University, Umeå, Sweden.
Maria MannilaDepartment of Cardiology and Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden.
Maria NordendahlDepartment of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
Jonas OldgrenDepartment of Medical Sciences, Cardiology, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-9969-3921
Elmir OmerovicDepartment of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden.ORCID 0000-0002-3875-8621
Ellen OstenfeldDepartment of Clinical Sciences Lund, Clinical Physiology, Lund University, Skåne University Hospital, Lund, Sweden.
Margaretha PerssonDepartment of Clinical Sciences in Malmö, Lund University, Malmö, Sweden.
Annika RosengrenDepartment of Molecular and Clinical Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-5409-6605
Linn Skoglund LarssonDepartment of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
Johan SundströmDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Mia SöderbergOccupational and Environmental Medicine, School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Carl Johan ÖstgrenCMIV Centre of Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Karin LeanderUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1404-9222
Tomas JernbergDepartment of Clinical Sciences, Danderyd University Hospital, Karolinska Institutet, Stockholm, Sweden.

Funding

AFA Insurance 160334Karolinska Institutet and Stockholm County CouncilKnut and Alice Wallenberg FoundationLinköping University and University HospitalLund University and Skåne University HospitalSwedish CArdioPulmonary bioImage Study (SCAPIS)Swedish Heart and Lung FoundationSwedish Research Council 2018-02527Swedish Society for Medical ResearchUmeå University and University HospitalUniversity HospitalUniversity of Gothenburg and Sahlgrenska University HospitalUppsala University
6 · The paper itself

Abstract

aimsMen are more likely to suffer a myocardial infarction than women, but population-based studies on sex differences in imaging-detected atherosclerosis are lacking. The aims were to assess sex differences in the prevalence of imaging-detected coronary and carotid atherosclerosis, as well as multivariable adjusted associations between sex and atherosclerosis. METHODS AND

resultsParticipants aged 50-65, recruited from the general population to the Swedish Cardiopulmonary bioImage Study (SCAPIS), were included in this population-based cross-sectional study. Comprehensive diagnostics, including coronary computed tomography angiography and carotid ultrasound, were performed. The image findings were any coronary atherosclerosis, coronary stenosis ≥ 50%, segment involvement score (SIS) ≥ 4, coronary artery calcium score (CACS) > 100, and any ultrasound-detected carotid plaque. In 25 580 participants (50% women), men had more hypertension (20.3% vs. 17.0%), hyperlipidaemia (9.0% vs. 5.5%), and diabetes (8.5% vs. 4.7%). The prevalence was 56.2% vs. 29.5% for any coronary atherosclerosis (P < 0.01), 9.0% vs. 2.3% for coronary stenosis ≥ 50% (P < 0.01), 20.2% vs. 5.3% for SIS ≥ 4 (P < 0.01), 18.2% vs. 5.6% for CACS > 100 (P < 0.01), and 60.9% vs. 48.7% for carotid plaque (P < 0.01), in men vs. women, respectively. Multivariable adjustment only marginally changed these associations: odds ratios (ORs) (95% confidence interval): 2.75 (2.53-2.99) for coronary atherosclerosis, 2.88 (2.40-3.45) for coronary stenosis ≥ 50%, 3.99 (3.50-4.55) for SIS ≥ 4, 3.29 (2.88-3.75) for CACS > 100, and 1.57 (1.45-1.70) for carotid plaque.

conclusionMen had higher prevalence of imaging-detected carotid and coronary atherosclerosis with prevalence in women aged 65 corresponding to men 11-13 years younger. The associations remained after extensive multivariable adjustment.

Indexed as

Carotid Artery DiseasesComputed Tomography AngiographyCoronary Artery DiseaseAgedCoronary AngiographyCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk AssessmentSex DistributionSex FactorsSwedenatherosclerosiscarotid artery diseasecoronary artery diseasecoronary computed tomography angiographysex characteristicsultrasonography

Identifiers

PMID39158095
PMCPMC11601724

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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.