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17-01: Challenges in selecting rate vs. rhythm control in Atrial Fibrillation

2016· article· en· W2600608287 on OpenAlexaboutno aff
Suzanne Murray, Matthias Antz, Hein Heidbüchel, Céline Carrera, Patrice Lazure, Alec Vahanian, Gerhard Hindricks

Bibliographic record

VenueEP Europace · 2016
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationHeart RhythmRhythmClinical PracticeFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

Purpose: Atrial Fibrillation (AF) is a complex disorder with multiple causes and different clinical manifestations, which may challenge physicians in their treatment decisions. In a previous Canadian study, physicians reported difficulties in the selection of rate versus rhythm control in the management of AF, and provided heterogeneous answers to case-based treatment strategy questions. A study was designed to investigate the challenges reported by European Cardiologists, Neurologists, and General Practitioners/Family Physicians in the diagnosis, treatment and management of AF. Methods: This mixed methods ethics-approved study included exploratory semi-structured qualitative interviews (designed to generate in-depth discussion around challenges in diagnosing, treating and managing AF), followed by a quantitative survey including clinical cases (designed to validate the findings from the interviews). Cardiologists, Neurologists, and General Practitioners/Family Physicians (GPs/FPs) were recruited from France, Germany, Italy, Poland, Spain and the UK. Results: A total of 561 physicians participated in this study (294 cardiologists, 131 neurologists, and 136 GPs/FPs). The response rate was 7%. Thirty-six percent (36%) of the sample had an AF patient caseload making up more than 20% of their total patient caseload and 90% of the sample had over 10 years of clinical practice experience. Eleven challenges were identified in relation to the diagnosis, treatment and management of AF. In particular, when questioned about specific detailed clinical cases of patients with AF, participants reported being uncertain when making treatment decisions in relation to rate control vs. rhythm control strategies. When choosing rhythm control, the decisions on how to restore rhythm (cardioversion first vs. anti-arrhythmic drug first) and when to do so (within first 24 hours or later) varied significantly between countries. When selecting a rate control strategy, 84% of cardiologists selected Beta-blockers as the first treatment option, vs. 63% of GPs/FPs. In addition, 61 % of cardiologists reported needing improvement in their skills to select patients who would benefit from AV node ablation (98% Neurologists, 87% GPs/FPs). Significant differences across countries were observed. Conclusions: The findings from this study corroborate the Canadian findings and indicate variability in the skills and treatment decision preferences of physicians involved in the care of AF patients. Differences between countries may indicate variation in implementation of guidelines and/or in access to treatment options. These findings call for targeted educational interventions to improve and standardise the care provided to AF patients by specialists and GPs/FPs alike. These initiatives would benefit from being adapted to local situations, given the variation observed between countries.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.146
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.068
GPT teacher head0.314
Teacher spread0.246 · 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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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