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Record W2619766026 · doi:10.3138/ptc.2016-28

Novel Treatment Approach to Contraversive Pushing after Acute Stroke: A Case Report

2017· article· en· W2619766026 on OpenAlexvenueno aff
Devra Romick-Sheldon, Andrea Kimalat

Bibliographic record

VenuePhysiotherapy Canada · 2017
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsStroke (engine)Intervention (counseling)RehabilitationPhysical medicine and rehabilitationPsychological interventionPhysical therapyMedicineMiddle cerebral arteryAcute strokePsychologyNursingCardiologyIschemia

Abstract

fetched live from OpenAlex

Purpose: The purpose of this case report is to provide an alternative treatment approach to pushing behavior (PB), adapting widely used equipment for persons with stroke demonstrating such behaviour. The aim is to change their graviceptive experience during interventions while performing repeated stepping and righting practice to resolve PB more quickly. Client Description: The subject is a man aged 56 years who sustained a right middle-cerebral-artery ischemic stroke. He entered in-patient rehabilitation from an acute care hospital 7 days post-stroke. Intervention: Lateral stepping with body weight–supported treadmill training (LS-BWSTT) was used such that the subject stepped laterally toward the uninvolved side. Measures and Outcome: Scores on the Scale for Contraversive Pushing and the FIM were recorded at regular intervals. After intervention, the subject demonstrated decreased PB and improved function. Implications: The individual's PB improved after LS-BWSTT. LS-BWSTT is a novel treatment intervention that could be considered in future clinical decision making using evidence-based principles.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.790

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.297
Teacher spread0.282 · 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 designBench or experimental
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

Citations9
Published2017
Admission routes1
Has abstractyes

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