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Record W2757186606 · doi:10.1097/pep.0000000000000455

Commentary on “Comparing Unimanual and Bimanual Training in Upper Extremity Function in Children With Unilateral Cerebral Palsy”

2017· letter· en· W2757186606 on OpenAlexaboutno aff
Karen Harpster, Valerie Miller

Bibliographic record

VenuePediatric Physical Therapy · 2017
Typeletter
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsCerebral palsyPsychological interventionIntervention (counseling)Constraint-induced movement therapyPhysical therapyPhysical medicine and rehabilitationRandomized controlled trialMedicineSystematic reviewInternational Classification of Functioning, Disability and HealthActivities of daily livingRating scaleSet (abstract data type)MEDLINEPsychologyRehabilitationDevelopmental psychologyPsychiatrySurgery

Abstract

fetched live from OpenAlex

“How should I apply this information?” There is a rigorous evidence base for the effectiveness of modified constraint-induced movement therapy (mCIMT) and intensive bimanual therapy (IBT) for improving upper extremity function and participation in activities of daily living for children with unilateral cerebral palsy (CP).1 However, there is no consensus as to which approach is best. Therefore, clinicians should consider a variety of factors (eg, patient and family goals, prior therapeutic history, the capacity and amount of spontaneous use of the more involved upper extremity, and the patient's age) to determine which intervention should be used. As noted, parent report measures, such as the Canadian Occupational Performance Measure, Goal Attainment Scale, and the Pediatric Evaluation of Disability Inventory, are increasingly important to set treatment goals and as outcome measures of mCIMT and/or IBT. “What should I be mindful about when applying this information?” The studies included in this systematic review were randomized controlled trials that compared mCIMT with IBT. In addition to these studies, there is an abundance of higher-level studies supporting the effectiveness of both mCIMT and IBT. When making a clinical decision regarding which intervention to implement, all studies should be considered. In a recent systematic review of systematic reviews regarding interventions for children with cerebral palsy, both CIMT and IBT were considered green light interventions using the GRADE system both getting a strong, positive rating of “do it.”1 Clinicians and researchers implementing either mCIMT or IBT should come to consensus identifying a core set of outcome measures to be used consistently across programs, making sure to have assessments at all levels of the International Classification of Functioning, Disability and Health (ICF) framework. A common pitfall of studies using these approaches remains; there is no consistency in which outcome measures are used, making it difficult to compare results across studies. In addition, although we have evidence that mCIMT and IBT are effective interventions, we are still unsure about the best dosing. Karen Harpster, PhD, OTR/L Valerie Miller, MS, OTR/L Cincinnati Children's Hospital Medical Center Cincinnati, Ohio

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.026
GPT teacher head0.271
Teacher spread0.245 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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