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Record W2500981709 · doi:10.1038/sc.2016.90

The CanPain SCI Clinical Practice Guidelines for Rehabilitation Management of Neuropathic Pain after Spinal Cord: Recommendations for treatment

2016· article· en· W2500981709 on OpenAlexafffundabout
Stacey Guy, Swati Mehta, A Casalino, Isabelle Côté, Anna Kras‐Dupuis, DE Moulin, Andrew G. Parrent, Patrick J. Potter, C Short, Robert Teasell, Cheryl L. Bradbury, Thomas N. Bryce, B. Catharine Craven, Nanna Brix Finnerup, David T. Harvey, Sander L. Hitzig, Brenda Lau, James Middleton, Colleen O’Connell, Steven Orenczuk, P.J. Siddall, Andrea Townson, Catherine Truchon, Eva Widerström-Noga, Dalton L. Wolfe, Eldon Loh

Bibliographic record

VenueSpinal Cord · 2016
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInstitut National d'Excellence en Santé et en Services SociauxStan Cassidy FoundationUniversity of British ColumbiaLondon Health Sciences CentreSpinal Cord Injury OntarioUniversity of New BrunswickWestern UniversityUniversity of TorontoDalhousie UniversityCentre for Interdisciplinary Research in RehabilitationParkwood InstituteToronto Rehabilitation InstituteLawson Health Research Institute
FundersOntario Neurotrauma FoundationRick Hansen Institute
KeywordsMedicineNeuropathic painRehabilitationPhysical therapySpinal cord injurySpinal cordPhysical medicine and rehabilitationClinical PracticeMEDLINEAnesthesiaPsychiatry

Abstract

fetched live from OpenAlex

STUDY DESIGN: Clinical practice guidelines. OBJECTIVES: To develop the first Canadian clinical practice guidelines for treatment of neuropathic pain in people with spinal cord injury (SCI). SETTING: The guidelines are relevant for inpatient and outpatient SCI rehabilitation settings in Canada. METHODS: The CanPainSCI Working Group reviewed the evidence for different treatment options and achieved consensus. The Working Group then developed clinical considerations for each recommendation. Recommendations for research are also included. RESULTS: Twelve recommendations were developed for the management of neuropathic pain after SCI. The recommendations address both pharmacologic and nonpharmacologic treatment modalities. CONCLUSIONS: An expert Working Group developed recommendations for the treatment of neuropathic pain after SCI that should be used to inform practice.

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)0.012
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.829
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.025
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 head0.288
GPT teacher head0.558
Teacher spread0.270 · 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 designOther design
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

Citations104
Published2016
Admission routes3
Has abstractyes

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