Evidence map›Paper›PMID 38926161›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2024

Sex differences in coronary atherosclerotic plaque activity using

Jacek Kwiecinski, Kang-Ling Wang, Evangelos Tzolos, Alastair Moss, Marwa Daghem, Philip D Adamson, Damini Dey, Patrycja Molek-Dziadosz, Dana Dawson, Parthiban Arumugam and 11 more

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Cardiovascular imaging in 2024: review of current research and innovations.European heart journal. Imaging methods and practice · 2025
    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

21 authors.

Jacek KwiecinskiDepartment of Interventional Cardiology and Angiology, Institute of Cardiology, Alpejska 42, Warsaw, 04-628, Poland. jkwiecinski@ikard.pl.
Kang-Ling WangCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Evangelos TzolosCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Alastair MossCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Marwa DaghemCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Philip D AdamsonChristchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Damini DeyDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Patrycja Molek-DziadoszCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Dana DawsonAberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Aberdeen, United Kingdom.
Parthiban ArumugamManchester University, NHS Foundation Trust, Manchester, United Kingdom.
Nikant SabharwalOxford University Hospitals, NHS Foundation Trust, Oxford, United Kingdom.
John P GreenwoodLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, and Leeds Teaching Hospitals NHS Trust, Leeds, UK.
John N TownendInstitute of Cardiovascular Sciences, University of Birmingham, Birmingham, United Kingdom.
Patrick A CalvertRoyal Papworth Hospital, University of Cambridge, Cambridge, United Kingdom.
James Hf RuddDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
Daniel BermanDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Johan W VerjansAustralian Institute for Machine Learning, The University of Adelaide, Adelaide, Australia.
Michelle C WilliamsCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
Piotr SlomkaDepartments of Medicine (Artificial Intelligence in Medicine), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Marc R DweckCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.
David E NewbyCentre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom.

Funding

Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0M
Integrated prediction of cardiovascular events by automated coronary plaque and pericoronary adipose tissue quantification from CT AngiographyR01HL148787 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI DEY, DAMINI · 2020 to 2023
$3.0M
Integrated analysis of coronary anatomy and biology with 18F-fluoride PET and CT angiographyR01HL135557 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2017 to 2020
$3.0M
British Heart Foundation FS/12/29/29463British Heart Foundation FS/ICRF/20/26002British Heart Foundation PG/09/083/27667British Heart Foundation RE/18/5/34216, CH/09/002, RG/F/22/110093British Heart Foundation RG/F/22/110093NHLBI NIH HHS R01 HL135557NHLBI NIH HHS R01 HL148787NHLBI NIH HHS R35 HL161195NIH/NHLBI 1R01HL148787-01A1NIH/NHLBI R35-HL161195Wellcome TrustWellcome Trust WT103782AIA
6 · The paper itself

Abstract

introductionThere are sex differences in the extent, severity, and outcomes of coronary artery disease. We aimed to assess the influence of sex on coronary atherosclerotic plaque activity measured using coronary

methodsIn a post-hoc analysis of observational cohort studies of patients with coronary atherosclerosis who had undergone

resultsBaseline

conclusionAlthough men present with more coronary atherosclerotic plaque than women, increased plaque activity is a strong predictor of future myocardial infarction regardless of sex.

Indexed as

Coronary Artery DiseaseFluorine RadioisotopesPlaque, AtheroscleroticSex CharacteristicsSodium FluorideAgedFemaleHumansMaleMiddle AgedPositron-Emission TomographyPositron Emission Tomography Computed TomographyPrognosisSex FactorsFluorine-18Fluorine RadioisotopesSodium Fluoride18F-NaF PETCoronary artery diseaseGenderMyocardial infarctionSex

Identifiers

PMID38926161
PMCPMC11774508

What OpenQuestion holds

Textmetadata
LicenceTDM
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.