Stroke rates vary substantially across cohorts of patients with atrial fibrillation
Bibliographic record
Abstract
Commentary on: Quinn GR, Severdija ON, Chang Y, et al . Wide variation in reported rates of stroke across cohorts of patients with atrial fibrillation. Circulation 2017;135:208–19.[OpenUrl][1][Abstract/FREE Full Text][2] Oral anticoagulants (OACs) substantially reduce stroke risk in patients with atrial fibrillation (AF); however, they remain globally underused.1 One of the main reasons is the difficulty in stratifying AF-related ischaemic stroke risk at the individual patient level.1 ,2 Among scores stratifying AF-related stroke risk, CHA2-DS2-Vasc prevails in most recent international AF guidelines.3 ,4 Still, it remains unknown whether AF-related stroke risk is stable across regions, international cohorts or within specific CHA2-DS2-Vasc score strata. This systematic review included only studies reporting ischaemic stroke rates for patients with AF not on OACs, and assessed … [1]: {openurl}?query=rft.jtitle%253DCirculation%26rft_id%253Dinfo%253Adoi%252F10.1161%252FCIRCULATIONAHA.116.024057%26rft_id%253Dinfo%253Apmid%252F27799272%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=circulationaha&resid=135/3/208&atom=%2Febmed%2F22%2F3%2F110.atom
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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Observational | high |
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".