Paroxysmal atrial fibrillation and health-related quality of life: the importance of keeping score
Bibliographic record
Abstract
This editorial refers to ‘Impact of the control of symptomatic paroxysmal atrial fibrillation on health-related quality of life’ by L. Guedon-Moreau et al ., on page 634. Atrial fibrillation (AF) causes more impairment of health-related quality of life (QOL) than many physicians appreciate. Although rarely a life-threatening disease, the distress caused by the onset of AF symptoms can be severe. For patients with paroxysmal atrial fibrillation (PAF), QOL as measured by a generic scale (SF-36) has been found to be comparable to that of post-MI patients.1 Poorer QOL can be mostly attributed to AF symptoms; however, QOL is also influenced by patient factors and side effects of AF therapies.2 In the absence of a gold standard method to treat AF patients, relief of symptoms and improving QOL are often the primary goals of therapeutic management.3 In the study conducted by Guedon-Moreau et al .,4 217 symptomatic PAF patients were classified into two groups (‘controlled’ vs. ‘uncontrolled’) and treated with … *Corresponding author. Tel: +1 416 864 5104; fax: +1 416 864 5283, Email: dorianp{at}smh.toronto.on.ca
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".