Accidentes vasculares cerebrales en la comarca de Osona: Factores de riesgo cardiovascular
Bibliographic record
Abstract
INTRODUCTION: Cerebrovascular disease (CVD) is the second cause of hospitalization in the order of frequency in our service, thus reflecting this pathologýs high incidence in our borough. This study analyzes clinical and biological characteristics, cardiovascular risk factors and actions taken in hospital discharge in the internal medicine department of a borough hospital (the reference hospital in Osona borough), as well as other characteristics of the hospitalized CVD patients from January 2001 to December 2001. METHOD: This study was performed by revising each patient's hospital discharge report. 277 patients were hospitalized for CVD. RESULTS: Biological and demographic characteristics, as well as cardiovascular risk factors analyzed (arterial hypertension, diabetes, smoking, or dyslipidemy) were similar to other series. Incidence of hemorrhagic and cardio-embolic CVD was slightly lower, taken into account that hemorrhagic episodes that needed neurosurgical intervention were transferred to a higher-level center with a department of neurosurgery. Age was neither a factor for bad prediction leading to bad sequels after the episode nor a cause of an increased mortality. This data differs from others series. CONCLUSION: Actions taken on discharge, on cardiovascular risk factors and on hygienic-dietetic recommendations were deficient. Average stay was higher when compared to average stay in specialized ictus units.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".