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Record W2148497004 · doi:10.3109/01942638.2010.523397

Feeding Interventions for Children With Cerebral Palsy: A Review of the Evidence

2010· review· en· W2148497004 on OpenAlexaff
Laurie Snider, Annette Majnemer, Vasiliki Darsaklis

Bibliographic record

VenuePhysical & Occupational Therapy In Pediatrics · 2010
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsCerebral palsyPsychological interventionPhysical therapyPhysical medicine and rehabilitationMedicineRandomized controlled trialPsychologyPsychiatrySurgery

Abstract

fetched live from OpenAlex

AIM: To examine the evidence of the effectiveness of different feeding interventions for children with cerebral palsy. METHODS: A search of 12 electronic databases identified all relevant studies. For each study, the quality of the methods was assessed according to the study design. A total of 33 articles were retrieved, and 21 studies were included in the final analysis. RESULTS: Feeding interventions were separated into five main categories: oral sensorimotor facilitation, food consistency, positioning, oral appliances, and adaptive equipment. Five studies were randomized controlled trials. Outcomes were mainly reported on feeding safety and efficiency. One study documented positive results in height and weight change. Nineteen of the 21 studies presented positive outcomes in eating efficiency and/or safety. INTERPRETATION: Feeding interventions demonstrate potential benefits for children with cerebral palsy. However, the current level of evidence is poor, and empirical data are lacking. Methodologically, rigorous studies are required particularly investigating multimodal approaches.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.806
Threshold uncertainty score0.774

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.121
GPT teacher head0.426
Teacher spread0.305 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreReview

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

Citations51
Published2010
Admission routes1
Has abstractyes

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