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Record W4396607292 · doi:10.1016/j.jscai.2024.101434

OR6-4 | Gender Disparities in Temporary Mechanical Circulatory Support in Patients with Acute Myocardial Infarction and Cardiogenic Shock

2024· article· en· W4396607292 on OpenAlexaff
Nadhem Abdallah, Abdilahi Mohamoud, Kevin Buda, Mariam Abdallah

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2024
Typearticle
Languageen
FieldEngineering
TopicMechanical Circulatory Support Devices
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCardiogenic shockMyocardial infarctionCirculatory systemMedicineCardiologyInternal medicineShock (circulatory)

Abstract

fetched live from OpenAlex

Cardiovascular disease is the leading cause of mortality in women, both in the United States and globally. Despite declining cardiovascular disease-related mortality since 1984, the annual mortality rate for women remains higher than that for men. While sex-specific differences in the pathophysiology, presentation, and outcomes of acute myocardial infarction (AMI) and cardiogenic shock(CS) have been identified, there is a paucity of data on the impact of gender on utilization and outcomes of temporary mechanical circulatorysupportin patients with AMI-CS.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.012
GPT teacher head0.218
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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