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Record W4200174855 · doi:10.15420/ecr.2021.49

Why We Need Specialised Centres for Women’s Hearts: Changing the Face of Cardiovascular Care for Women

2021· review· en· W4200174855 on OpenAlexaff
Martha Gulati, Cara Hendry, Biljana Parapid, Sharon L. Mulvagh

Bibliographic record

VenueEuropean Cardiology Review · 2021
Typereview
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineDiseaseGerontologyFace (sociological concept)Family medicineInternal medicine

Abstract

fetched live from OpenAlex

Although cardiovascular disease (CVD) is the leading cause of mortality in women globally, cardiovascular care for women remains suboptimal, with poorer outcomes than for men. During the past two decades, there has been an incremental increase in research and publications on CVD in women, addressing sex-specific risk factors, symptoms, pathophysiology, treatment, prevention and identification of inequities in care. Nonetheless, once women have manifested CVD, they continue to have increasingly worse outcomes than men. An approach to addressing these global disparities has been the worldwide establishment of specialised centres providing cardiovascular care for women. These women's heart centres (WHCs) allow a comprehensive approach to the cardiovascular care of women across the lifespan. The purpose of this article is to define the need for and role of these specialised centres by outlining sex-specific gaps in CVD care, and to provide guidance on components within WHCs that may be considered when establishing such programmes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0080.005
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.109
GPT teacher head0.361
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2021
Admission routes1
Has abstractyes

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