Hematological disorders: a commonly unrecognized cause of acute stroke
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: Hematological disorders account for about 1.3% of all causes of acute stroke. This systematized review presents updated information on the implications of this category of heterogeneous diseases as a cause of stroke. AREAS COVERED: The most relevant aspects of the relationship between stroke and hematological disorders are reported. A high index of suspicion is needed in young stroke patients, patients with recurrent stroke of undetermined cause, and in patients with prior history of venous thrombosis to identify a potential hematological disorder as the definitive etiology of stroke Expert commentary: Stroke can be the presenting manifestation of a specific hematological disease or may appear as a complication in the course of hematological disorders. It is important to make a correct diagnosis of the underlying hematological disorder in order to treat stroke patients promptly and appropriately as well as to establish the optimal secondary prevention strategy for recurrent vascular cerebral disease.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.012 | 0.002 |
| 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 | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it