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Record W2974252096 · doi:10.20986/resed.2019.3710/2018

Antagonismo NMDA en el tratamiento de la cefalea en racimos

2019· article· es· W2974252096 on OpenAlex
María Luz Padilla del Rey, Mercedes Benítez Jiménez, Jean-Fran�ois Canuel, Clara Díaz-Alejo Marchante

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de la Sociedad Española del Dolor · 2019
Typearticle
Languagees
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.008
GPT teacher head0.328
Teacher spread0.320 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it