Evidence map›Paper›PMID 34622670›Full record

ArticleJournal of the American Heart Association2021

Association of Global Coagulation Profiles With Cardiovascular Risk Factors and Atherosclerosis: A Sex Disaggregated Analysis From the BioHEART-CT Study.

Katharine A Kott, Marie-Christine Morel-Kopp, Stephen T Vernon, Yuki Takagi, Belinda A Di Bartolo, Karlheinz Peter, Jean Y Yang, Stuart M Grieve, Christopher Ward, Gemma A Figtree

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Obesity and COVID-19: What are the Consequences?Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · 2022
    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 2 institutions in 1 country.

Katharine A KottCardiovascular Discovery Group Kolling Institute of Medical ResearchUniversity of Sydney Sydney Australia.ORCID 0000-0001-9923-2722
Marie-Christine Morel-KoppDepartment of Haematology and Transfusion Medicine Royal North Shore Hospital Sydney Australia.
Stephen T VernonCardiovascular Discovery Group Kolling Institute of Medical ResearchUniversity of Sydney Sydney Australia.ORCID 0000-0001-6262-0916
Yuki TakagiNorthern Blood Research Centre Kolling Institute of Medical ResearchUniversity of Sydney Sydney Australia.
Belinda A Di BartoloCardiovascular Discovery Group Kolling Institute of Medical ResearchUniversity of Sydney Sydney Australia.
Karlheinz PeterAtherothrombosis and Vascular Biology Laboratory Baker Heart and Diabetes Institute Melbourne Australia.ORCID 0000-0002-8040-2258
Jean Y YangCharles Perkins Centre University of Sydney Sydney Australia.ORCID 0000-0002-5271-2603
Stuart M GrieveNorthern Clinical School Faculty of Medicine and Health University of Sydney Sydney Australia.
Christopher WardNorthern Clinical School Faculty of Medicine and Health University of Sydney Sydney Australia.ORCID 0000-0003-4929-1200
Gemma A FigtreeCardiovascular Discovery Group Kolling Institute of Medical ResearchUniversity of Sydney Sydney Australia.ORCID 0000-0002-5080-6083
The University of Sydney · AUBaker Heart and Diabetes Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Although the association between dysregulated coagulation and atherosclerosis is well recognized, individual assays have been of minimal value in understanding disease susceptibility. Here we investigated the association of global coagulation profiles with coronary artery disease with consideration of sex differences. Methods and Results The study included patients from the BioHEART-CT (The BioHEART Study: Assessing Patients With Suspected Cardiovascular Disease for New Disease Markers and Risk Factors) biobank who had computed tomography coronary angiograms scored for coronary artery calcium score (CACS) and Gensini score. The cohort included 206 adult patients who were referred for clinically indicated computed tomography coronary angiography and had a median of 2 major cardiac risk factors; 50% were women and the average age was 62.6 years (±9.9 years). The overall hemostatic potential (OHP) and calibrated automated thrombography generation assays were performed on platelet-poor plasma. CACS and Gensini score in men were significantly correlated in bivariate analysis with measures from the OHP assay, and regression models predicting disease severity by CACS or Gensini score were improved by adding the OHP assay variables in men but not in women. The calibrated automated thrombography generation assay demonstrated a more hypercoagulable profile in women than in men. The OHP assay showed hypercoagulable profiles in women with hyperlipidemia and men with obesity. Conclusions The OHP assay identified hypercoagulable profiles associated with different risk factors for each sex and was associated with CACS and Gensini score severity in men, emphasizing the associations between increased fibrin generation and reduced fibrinolysis with cardiac risk factors and early atherosclerosis. Registration Information www.anzctr.org.au. Identifier: ACTRN12618001322224.

Indexed as

AtherosclerosisCardiovascular DiseasesCoronary Artery DiseaseThrombophiliaVascular CalcificationAdultCoronary AngiographyFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedRisk FactorsTomography, X-Ray Computedatherosclerosishypercoagulabilityrisk factorssex

Identifiers

PMID34622670
PMCPMC8751896
OpenAlexW3204119116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.