Fisioterapia aquática no desenvolvimento motor grosso de lactente prematuro com malformações congênitas de membros superiores: relato de caso
Bibliographic record
Abstract
Introduction: The congenital malformations of upper limbs may be associated to neuropsychomotor developmental delay. It is known that the first years of life are characterized by important acquisitions of child development. This period is considered crucial, due to greater brain plasticity, with increased neural networks and consequently developmental gains. Given these characteristics emerges the importance of intervention as early as possible. Objective: To verify the influence of functional aquatic physiotherapy on the gross motor development of an infant with a clinical diagnosis of bilateral carpal bone malformation. Method: This is a case report developed in the aquatic physiotherapy sector of the Assistance Association for Disabled Children (AACD) - Ibirapuera Unit. One male patient with 2 months and 23 days of corrected age, with medical diagnosis of bilateral carpal bone malformation and neuropsychomotor developmental delay participated of this study. Evaluations were performed before and after 8 sessions of intervention through the Alberta Infant Motor Scale (AIMS). The protocol was defined on stimulating neuropsychomotor development focus. Results: It was possible to observe an increase of 12 points in the total score of AIMS, ranging from 6 to 18, and improvement in the percentile. Where before the intervention was verified 5 percentile, and after the intervention, 50 percentile. Conclusion: This study shows that for this patient functional aquatic physiotherapy can positively influence the gross motor development.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".