ReviewCJC open2020
Introducing the Canadian Women's Heart Health Alliance ATLAS on the Epidemiology, Diagnosis, and Management of Cardiovascular Diseases in Women.
Review in CJC open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Effectiveness of patient decision aids for cardiovascular decisions: systematic review with sex/gender-based analysis.European journal of cardiovascular nursing · 2025Pooled it
- Article
- Review
- Community- and Patient-Partner Engagement in Women's Cardiovascular Disease Research: A Rapid Review of the Evidence.CJC open · 2024Review
- Challenges in Optimizing Lipid Management in Women.Cardiovascular drugs and therapy · 2022Review
- Peer-support interventions for women with cardiovascular disease: protocol for synthesising the literature using an evidence map.BMJ open · 2022Article
- Identification of a novel hypotensive peptide from porcine plasma hydrolysate byFood chemistry. Molecular sciences · 2022Article
- Article
- Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite a global understanding that indicators and outcomes of cardiovascular disease (CVD) are known to differ between men and women, uptake of the recognition of sex and gender influences on the clinical care of women has been slow or absent. The Canadian Women's Heart Health Alliance (CWHHA) was established as a network of experts and advocates to develop and disseminate evidence-informed strategies to transform clinical practice and augment collaborative action on women's cardiovascular health in Canada. As an initial project, the CWHHA membership undertook an environmental scan of CVD in women in Canada from which a scientific statement could be developed to summarize critical sex- and gender-specific issues in CVD. This comprehensive review of the evidence focused on the sex- and gender-specific differences in comorbidity, risk factors, disease awareness, presentation, diagnosis, and treatment across the entire spectrum of CVD. In the process of creating the review, it was recognized that the team of CWHHA experts had also assembled an expansive collection of original research articles that were synthesized into detailed chapters reporting on the present state of the evidence unique to each cardiovascular condition in women. This work comprises an "ATLAS" on the epidemiology, diagnosis, and management of CVD in women. The overall goal of the ATLAS is to create a living document that will help clinicians and the public recognize the unique aspects of women's heart health care and provide policy makers with information they need to ensure equitable care for women with CVD.
Identifiers
What OpenQuestion holds
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.