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Record W2791060017 · doi:10.1177/2055217318761168

Prolonged-Release Fampridine as Adjunct Therapy to Active Motor Training in MS Patients: A Pilot, Double-Blind, Randomized, Placebo-Controlled Study

2018· article· en· W2791060017 on OpenAlexaff
François Jacques, Adrian Schembri, Avi Nativ, Chantal Paquette, Paweł Kalinowski

Bibliographic record

VenueMultiple Sclerosis Journal - Experimental Translational and Clinical · 2018
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsClinique Neuro-Outaouais
FundersSanofi GenzymeBiogenTeva Pharmaceutical IndustriesAmerican Academy of Neurology
KeywordsPlaceboMedicineRandomized controlled trialStatistical significancePhysical therapyRehabilitationClinical trialSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Both prolonged-release fampridine (PRF) and enabling active motor training (EAMT) are beneficial in multiple sclerosis (MS) patients. Their combined effect is, however, understudied. OBJECTIVE: The objective of this paper is to determine if PRF augments the beneficial effect of EAMT in MS patients as opposed to placebo. METHOD: = 20). All patients underwent EAMT during the first six weeks. Patients were assessed at -4, 0, 6 and 14 weeks. RESULTS: Both groups remained stable between -4 to 0 weeks and showed statistically significant improvements for the six-minute walk and the five-times-sit-to-stand test at weeks 6 and 14. The PRF-treated group achieved a greater mean percentage improvement and a higher incidence of responders in all three tasks at both time points. The study was, however, underpowered to reach statistical significance. CONCLUSION: Our results confirm previous studies demonstrating that MS patients, despite significant disability, do benefit from a rehabilitation program. Our study is the first to show a trend suggesting that PRF in MS patients appears to enhance the benefit of EAMT. Further studies are required to confirm this.Clinical trial registration number with Clinicaltrial.gov: NCT02146534.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.167
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.218
GPT teacher head0.415
Teacher spread0.197 · 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 designRandomized 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

Citations6
Published2018
Admission routes1
Has abstractyes

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