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Efecto de un programa de neurorrehabilitación pediátrica en las actividades motoras gruesas de bebés prematuros

2024· article· es· W4404708527 on OpenAlexaboutno aff
Celina Juana De La Cruz Quispe, Jorge Eloy Puma Chombo

Bibliographic record

VenueRevista Vive · 2024
Typearticle
Languagees
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsnot available
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

La prematuridad trae complicaciones neuromotoras por la inmadurez del sistema nervioso; aunque es importante la intervención temprana, la evidencia científica es limitada sobre la efectividad de programas de neurorrehabilitación pediátrica. Objetivo: Determinar el efecto de un programa de neurorrehabilitación pediátrica en las actividades motoras gruesas de bebés prematuros. Materiales y métodos: Estudio pre-experimental realizado en 33 bebés prematuros de 4 a 12 meses de edad corregida atendidos en el Hospital Carlos Alberto Seguin Escobedo (HNCASE) entre marzo a mayo de 2024. El programa contó con 12 sesiones de terapia kinética de control, aprendizaje y desarrollo motor, cuyo efecto se midió con la aplicación de la Escala Motora del Infante de Alberta pre y post implementación del programa. Resultados: La mayoría de los bebes tenía edades de 4 a 6 meses (54.5%), masculinos (51.5%), prematuridad entre 30 a 37 semanas gestacionales (57.6%). Al inicio, la evaluación motora gruesa evidenció que la mayoría presentó riesgo de retraso de desarrollo motor (39.4%) y desarrollo motor grueso inadecuado (36.4%). Tras la aplicación del programa, la mayoría pasó a tener un adecuado desarrollo motor grueso (51.5%); además, dicha variación fue significativa (p=0.001). Conclusiones: El programa tiene efecto positivo al mejorar el rendimiento motor grueso en actividades de posición prono, supino, sedente y bípedo de bebes prematuros

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.007
GPT teacher head0.290
Teacher spread0.283 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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