Hematoma retroperitoneal espontáneo inducido por enoxiparina a dosis terapéuticas
Bibliographic record
Abstract
da clásica de hipoxemia, alteraciones neurológicas (encefalopatía difusa con disminución del nivel de conciencia o afectación focal) y erupción petequial.Otros síntomas menores son taquicardia, trombopenia, fiebre, glóbulos grasos en orina o esputo, embolia retiniana y caída del hematocrito (4).El TAC cerebral puede ser normal o mostrar inicialmente áreas de alta atenuación difusas y edema cerebral y posteriormente áreas hipodensas y atrofia cerebral.La RMN cerebral parece una exploración más sensible para detectar lesiones en el síndrome de embolismo graso, presentando típicamente áreas puntiformes de baja señal en T1 y de alta señal en T2 con predominio en zonas profundas de la sustancia blanca (1,5).Se remienda su uso en aquellos casos en los que el TAC es normal y la clínica no es característica.El SPECT puede mostrar una disminución de flujo a nivel cerebral (2).El tratamiento incluye medidas de soporte con sueroterapia y soporte ventilatorio en los casos más severos.El uso de corticoides es controvertido, al igual que el periodo de corrección de la fractura, aunque parece que la fijación en las primeras 24 horas disminuye la incidencia de este síndrome.Su mortalidad es de aproximadamente el 5%, aunque en la mayoría de los casos la recuperación es completa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".