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Record W2751984732 · doi:10.1177/2192568217701910

A Clinical Practice Guideline for the Management of Patients With Acute Spinal Cord Injury: Recommendations on the Type and Timing of Rehabilitation

2017· article· en· W2751984732 on OpenAlexaff
Michael G. Fehlings, Lindsay Tetreault, Bizhan Aarabi, Paul A. Anderson, Paul M. Arnold, Darrel S. Brodke, Kazuhiro Chiba, Joseph R. Dettori, Julio C. Furlan, James S. Harrop, Gregory W. J. Hawryluk, Langston T. Holly, Susan Howley, Tara Jeji, Sukhvinder Kalsi‐Ryan, Mark Kotter, Shekar N. Kurpad, Brian K. Kwon, Ralph J. Marino, Allan R. Martin, Eric M. Massicotte, Geno J. Merli, James Middleton, Hiroaki Nakashima, Narihito Nagoshi, Katherine Palmieri, Anoushka Singh, Andrea C. Skelly, Eve C. Tsai, Alexander R. Vaccaro, Jefferson R. Wilson, Albert Yee, Anthony S. Burns

Bibliographic record

VenueGlobal Spine Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSt. Michael's HospitalUniversity of OttawaUniversity of British ColumbiaToronto Western HospitalHealth Sciences CentreOntario Neurotrauma FoundationSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersAOSpineNational Institute for Health and Care Research
KeywordsMedicineGuidelineRehabilitationSpinal cord injuryClinical PracticePhysical therapyIntensive care medicineSpinal cordPhysical medicine and rehabilitationPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective of this study is to develop guidelines that outline the appropriate type and timing of rehabilitation in patients with acute spinal cord injury (SCI). METHODS: A systematic review of the literature was conducted to address key questions related to rehabilitation in patients with acute SCI. A multidisciplinary guideline development group used this information, and their clinical expertise, to develop recommendations for the type and timing of rehabilitation. Based on GRADE (Grading of Recommendation, Assessment, Development and Evaluation), a strong recommendation is worded as "we recommend," whereas a weaker recommendation is indicated by "we suggest. RESULTS: Based on the findings from the systematic review, our recommendations were: (1) We suggest rehabilitation be offered to patients with acute spinal cord injury when they are medically stable and can tolerate required rehabilitation intensity (no included studies; expert opinion); (2) We suggest body weight-supported treadmill training as an option for ambulation training in addition to conventional overground walking, dependent on resource availability, context, and local expertise (low evidence); (3) We suggest that individuals with acute and subacute cervical SCI be offered functional electrical stimulation as an option to improve hand and upper extremity function (low evidence); and (4) Based on the absence of any clear benefit, we suggest not offering additional training in unsupported sitting beyond what is currently incorporated in standard rehabilitation (low evidence). CONCLUSIONS: These guidelines should be implemented into clinical practice to improve outcomes and reduce morbidity in patients with SCI by promoting standardization of care, decreasing the heterogeneity of management strategies and encouraging clinicians to make evidence-informed decisions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.031
metaresearch head score (Gemma)0.159
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.159
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0050.008
Bibliometrics0.0090.007
Science and technology studies0.0030.002
Scholarly communication0.0050.006
Open science0.0080.004
Research integrity0.0120.010
Insufficient payload (model declined to judge)0.0080.006

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 head0.101
GPT teacher head0.520
Teacher spread0.420 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations99
Published2017
Admission routes1
Has abstractyes

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