El papel del sistema serotoninérgico central en la etiopatogenia del síncope neurocardiogénico
Bibliographic record
Abstract
La implementacion de la prueba de mesa basculante en el ano 1986 para el diagnostico de pacientes con sincope recurrente de origen no aclarado, determino al sincope neurocardiogenico como una de las causas mas prevalentes de disfuncion autonomica cardiovascular. A pesar de su importancia en terminos de salud publica, la fi siopatologia del sincope neurocardiogenico no ha sido completamente aclarada, dificultando asi la implementacion de un enfoque terapeutico apropiado. El reflejo de Bezold-Jarisch propuesto inicialmente como mecanismo causante del sincope neurocardiogenico ha sido recientemente desvirtuado y actualmente se ha sugerido que la etiologia del sincope neurocardiogenico puede estar relacionada con alteraciones hormonales y en la neurotransmison derivadas del sistema nervioso central. Multiples mecanismos han sido postulados involucrando alteraciones en vias nerviosas centrales y perifericas que llevan a hipotension y bradicardia subitas relacionadas con una inhibicion del infl ujo simpatico. Recientemente se ha postulado que la alteracion del sistema central serotoninergico podria ser un elemento clave en la fisiopatologia del sincope neurocardiogenico. En este papel se revisan algunos aspectos del rol del sistema central serotoninergico en la regulacion de la funcion cardiovascular, presentando datos que sugieren su potencial participacion en el sincope neurocardiogenico
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".