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Record W1920957671 · doi:10.1177/000841740907600504

Group Constraint-Induced Movement Therapy: Motor and Functional Outcomes in Individuals with Stroke

2009· article· en· W1920957671 on OpenAlexvenueno aff
Eun‐Young Yoo, Min‐Ye Jung, Heung-Seok Park, Jung‐Ran Kim, Hye‐Seon Jeon

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsConstraint-induced movement therapyActivities of daily livingPhysical medicine and rehabilitationStroke (engine)Physical therapyOccupational therapyMotor functionMotor skillMedicineIntervention (counseling)Upper limbPsychologyNursing

Abstract

fetched live from OpenAlex

Background Strokes frequently cause limitations of the upper extremity and in performance of activities of daily living (ADL). Constraint-induced movement therapy (CIMT) is designed to enhance the use of the hemiplegic arm. Purpose To assess the effects of group CIMT on upper-extremity motor function and performance level of motor and process skills for instrumental activities in daily living (IADL) in community-dwelling individuals whose stroke occurred at least six months earlier. Methods Eight adults with stroke participated in this study. Group-based CIMT was administered for two weeks, five times per week, with two-hour intensive daily training. Findings The Fugl-Meyer Assessment (FMA) score and the Assessment of Motor and Process Skills (AMPS) scores improved after intervention. Implications The results of this study suggest that relatively brief group-based CIMT may be an effective intervention for improving motor function of the affected upper-limb and the level of IADL in individuals who have had stroke.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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

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 head0.063
GPT teacher head0.320
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations5
Published2009
Admission routes1
Has abstractyes

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Same venueCanadian Journal of Occupational TherapySame topicStroke Rehabilitation and RecoveryFrench-language works237,207