Antagonismo NMDA en el tratamiento de la cefalea en racimos
Bibliographic record
Abstract
El tratamiento estándar de la cefalea en racimos consiste en un tratamiento abortivo con oxígeno, triptanes, alcaloides ergóticos y/o anestésico local nasal tópico durante los episodios agudos y un tratamiento preventivo, como infiltraciones con esteroides, antagonistas de los canales del calcio y litio. Aunque la fisiopatología exacta de la cefalea en racimos no se conoce bien, se han demostrado niveles reducidos de metabolitos de quinurenina, los cuales gozan de propiedades anti-NMDA (N-metil-D-aspartato). La ketamina y el magnesio, que tienen una potente actividad antagonista NMDA, se han usado en múltiples síndromes de dolor refractario. Describimos un caso de cefalea en racimos que no respondió al tratamiento estándar y se trató de forma efectiva con infusión intravenosa de magnesio y ketamina.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| 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 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".