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Record W1984997104 · doi:10.1097/htr.0000000000000108

An Overview of Acquired Brain Injury Rehabilitation Randomized Controlled Trials

2015· review· en· W1984997104 on OpenAlexaff
Amanda McIntyre, Shannon Janzen, Marina Richardson, Cecilia Kwok, Robert Teasell

Bibliographic record

VenueJournal of Head Trauma Rehabilitation · 2015
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsParkwood InstituteLawson Health Research InstituteWestern University
Fundersnot available
KeywordsInterquartile rangeRandomized controlled trialMedicineRehabilitationPsychosocialSample size determinationPhysical therapyConfidence intervalAcquired brain injuryClinical trialPhysical medicine and rehabilitationSurgeryInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To summarize randomized controlled trials published in the acquired brain injury rehabilitation literature. SETTING: N/A. PARTICIPANTS: N/A. DESIGN: Systematic literature review. MAIN MEASURES: A total of 143 published randomized controlled trials in acquired brain injury rehabilitation literature from January 1980 to October 2012. Measures were area of research, number of studies, sample size, methodological quality, and country of origin. RESULTS: There were no significant differences in median sample sizes (P = .212; 95% confidence interval [CI], 0.199-0.215) or PEDro scores (P = .492; 95% CI, .491-.510) between 4 research areas in acquired brain injury: sensory-motor, cognitive-communication, medical complications, and psychosocial. Between 1980 and 2012, there was no significant difference in median sample sizes (P = .202; 95% CI, 0.198-0.214). Median PEDro scores did not significantly improve between 1983-1987 (median = 4, interquartile range = 4.5) and 2008-2012 (median = 6, interquartile range = 2; P = .100; 95% CI, 0.093-0.105). CONCLUSIONS: This study demonstrates the need for more randomized controlled trials, increased sample sizes, and improved methodological quality to better guide clinical practice for acquired brain injury rehabilitation.

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)0.117
metaresearch head score (Gemma)0.184
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.766
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.1170.184
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0320.009
Bibliometrics0.0030.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.269
GPT teacher head0.528
Teacher spread0.260 · 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 designRandomized trial
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

Citations8
Published2015
Admission routes1
Has abstractyes

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