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Record W2905346676 · doi:10.1111/pace.13577

Gender differences in symptoms and functional status in patients with atrial fibrillation undergoing catheter ablation

2018· article· en· W2905346676 on OpenAlexaboutno aff
Taylor C. Bazemore, Lauren E. Bolger, Samuel F. Sears, Murrium I. Sadaf, Anil K. Gehi

Bibliographic record

VenuePacing and Clinical Electrophysiology · 2018
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationCatheter ablationQuality of life (healthcare)AblationInternal medicineCatheterCardiologyPhysical therapySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Catheter ablation improves symptoms and quality of life in patients with atrial fibrillation (AF); however, despite its benefit, women are less likely than men to undergo catheter ablation. Women with AF have been described to have more frequent and severe symptoms with a lower quality of life than men, and it is therefore unclear why women are less likely to undergo catheter ablation. We prospectively characterized gender differences in AF symptoms among men and women undergoing ablation at UNC using questionnaire data. METHODS: Functional capacity was assessed with the Duke Activity Status Index (DASI) and quality of life was assessed with the Canadian Cardiovascular Society Symptoms of AF score (CCS-SAF) and the AF Effect on Quality-of-Life Questionnaire Tool (AFEQT). RESULTS: -VASc scores than men. Women had a worse functional capacity with significantly lower DASI scores than men; quality of life was also worse among women, with higher CCS-SAF scores and lower AFEQT scores than men. After adjustment for AF type, there was a persistent gender difference for functional capacity and symptom measures. CONCLUSIONS: At the time of catheter ablation, women with AF had a significantly lower functional status with worse symptoms and a lower quality of life than men. The role of this symptom difference on the gender gap in enrollment for catheter ablation is unclear and likely due to multiple patient and provider factors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.005
Threshold uncertainty score0.270

Codex and Gemma teacher scores by category

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

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 head0.042
GPT teacher head0.317
Teacher spread0.275 · 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.

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

Citations18
Published2018
Admission routes1
Has abstractyes

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