MétaCan
Menu
Back to cohort
Record W3145057743 · doi:10.51451/np.v16i1.233

CUIDADOS RESPIRATORIOS DE LOS PACIENTES CON ATROFIA MUSCULAR ESPINAL

2021· article· es· W3145057743 on OpenAlexaff
Gloria Giménez Y., Francisco Prado Atlagic, Celia Bersano, Hiromi Kakisu P., María Victoria Herrero, Ana Luisa Manresa, Damián Pronello, PAMELA SALINAS F, Juan C. Morales S., Montserrat Gutiérrez P., Silvia Guillen T., Silvia Aravena M., Pedro Morales C., Gustavo Moscoso G., Valeria Oviedo C, Carlos Valdebenito P, Débora Núñez, Shirley Galeano, John R. Bach

Bibliographic record

VenueNeumología Pediátrica · 2021
Typearticle
Languagees
FieldMedicine
TopicShoulder Injury and Treatment
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsHumanitiesMedicineGynecologyPhilosophy

Abstract

fetched live from OpenAlex

La Atrofia Muscular Espinal (AME) es una enfermedad genética del asta anterior de la medula espinal, que cursa con debilidad muscular progresiva. La intensidad y precocidad de la debilidad muscular presenta diferentes grados de afectación de los grupos musculares respiratorios, determinando la meseta en la capacidad vital y progresión a la insuficiencia ventilatoria, como también el compromiso de los músculos inervados bulbares. Los AME tipo 1 y 2, se benefician con cuidados respiratorios no invasivos en la infancia temprana y edad escolar, mejorando la calidad y esperanza de vida. Este documento sintetiza dichas recomendaciones, con especial referencia a intervenciones guiadas por etapas, que incluyan apilamiento de aire, protocolos de tos asistida, preparación para la artrodesis de columna y soporte ventilatorio no invasivo, incluso en aquellos pacientes con pérdida de la autonomía respiratoria, minimizando el riesgo de traqueostomía. La no consideración de estas recomendaciones en la valoración regular de los pacientes resta la oferta de tratamientos oportunos.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.333
Teacher spread0.309 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueNeumología PediátricaSame topicShoulder Injury and TreatmentFrench-language works237,207