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Record W2979882351 · doi:10.33588/rn.6908.2019081

Impacto de la terapia resistida sobre los parámetros de la marcha en niños con parálisis cerebral: revisión sistemática y metaanálisis

2019· review· es· W2979882351 on OpenAlexaff
Paula Parás‐Bravo

Bibliographic record

VenueRevista de Neurología · 2019
Typereview
Languagees
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsImpact
Fundersnot available
KeywordsCadenceGaitCerebral palsyMedicinePhysical medicine and rehabilitationPhysical therapyGait analysis

Abstract

fetched live from OpenAlex

INTRODUCTION: Cerebral palsy is one of the main causes of disability in childhood. Resistive therapy has proved to be beneficial in increasing strength and motor function in these patients, but its impact on gait is not yet clear. AIM: To analyse the impact of resistive therapy on improving gait through a systematic review and meta-analysis. PATIENTS AND METHODS: A search was conducted in Medline, ISI Web of Knowledge and PEDro for clinical trials in which resistive therapy was used and at least one gait parameter was assessed. RESULTS: Nine controlled studies and one single-arm study were identified. In terms of pre-post difference, the overall intragroup effect was in favour of the intervention, with null heterogeneity (standardised mean difference: 0.32; 95% CI: 0.19-0.44). The standardised mean differences were also positive as they restricted each of the gait parameters analysed: 0.36, 0.35 and 0.22 for step cadence, gait speed and step length, respectively. As regards the difference between groups, the results showed high heterogeneity, and the mean difference was also favourable, especially for speed (7.3 cm/s; 95% CI: 2.67-11.92), cadence (5.66 steps; 95% CI: 1.86-9.46) and, to a lesser extent, step length (3.25 cm; 95% CI: -1.69 to 8.19). CONCLUSION: The results support the impact of resistive therapy on gait improvement, especially in terms of the gait speed and step cadence parameters.

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)0.007
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.829
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.007
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.329
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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations3
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueRevista de NeurologíaSame topicCerebral Palsy and Movement DisordersFrench-language works237,207