MétaCan
Menu
Back to cohort
Record W2777998293 · doi:10.1097/mrr.0000000000000269

Use of clinical measures to document the effect of passive cycling on knee extensor spasticity and the ability to perform activities of daily living in spinal cord injury: a case report

2017· article· en· W2777998293 on OpenAlexafffund
Pierre Pomerleau, Marc Perron, Laurent J. Bouyer, Désirée B. Maltais

Bibliographic record

VenueInternational Journal of Rehabilitation Research · 2017
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsCentre for Interdisciplinary Research in RehabilitationUniversité Laval
FundersInstitut de Réadaptation en Déficience Physique de Québec
KeywordsSpasticitySpinal cord injuryMedicinePhysical medicine and rehabilitationPhysical therapyRehabilitationActivities of daily livingSpinal cord

Abstract

fetched live from OpenAlex

The effects, on spasticity-related clinical measure results [initial knee flexion velocity during the pendulum test (F1-VEL); Spinal Cord Injury Spasticity Evaluation Tool (SCI-SET) scores], of a 5-week passive cycling program were assessed in a 67-year-old man with chronic, complete, thoracic-level SCI. Three weekly evaluations were performed before and after training, at the start, middle, and end of the training (ET), and 24 h following ET. The F1-VEL increased significantly from baseline, from ET to the 2-week follow-up evaluation. A trend was found for an improvement from baseline in SCI-SET scores, from middle of training onwards. These findings, which can inform clinical decisions and clinical trial development, suggest that the F1-VEL pendulum test result may be used to document the effect on knee extensor spasticity of a passive cycling program in chronic, complete, thoracic-level SCI. Whether this is also true for the SCI-SET requires future confirmation.

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)0.011
metaresearch head score (Gemma)0.098
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.297
Threshold uncertainty score0.910

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.098
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.112
GPT teacher head0.498
Teacher spread0.386 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Rehabilitation ResearchSame topicBotulinum Toxin and Related Neurological DisordersFrench-language works237,207