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Record W2751429221 · doi:10.1177/2192568217703089

A Clinical Practice Guideline for the Management of Patients With Acute Spinal Cord Injury: Recommendations on the Role of Baseline Magnetic Resonance Imaging in Clinical Decision Making and Outcome Prediction

2017· article· en· W2751429221 on OpenAlexaff
Michael G. Fehlings, Allan R. Martin, Lindsay Tetreault, Bizhan Aarabi, Paul A. Anderson, Paul M. Arnold, Darrel S. Brodke, Anthony S. Burns, Kazuhiro Chiba, Joseph R. Dettori, Julio C. Furlan, 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, 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, James S. Harrop

Bibliographic record

VenueGlobal Spine Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSt. Michael's HospitalUniversity of British ColumbiaOttawa HospitalToronto Western HospitalHealth Sciences CentreOntario Neurotrauma FoundationSunnybrook Health Science CentreToronto Rehabilitation InstituteUniversity of TorontoUniversity Health Network
FundersAOSpineNational Institute for Health and Care Research
KeywordsMedicineMagnetic resonance imagingGuidelineGrading (engineering)Physical therapyMultidisciplinary approachSpinal cord injuryClinical PracticeEvidence-based medicineIntensive care medicinePhysical medicine and rehabilitationRadiologySpinal cordAlternative medicinePathology

Abstract

fetched live from OpenAlex

INTRODUCTION: The objective of this guideline is to outline the role of magnetic resonance imaging (MRI) in clinical decision making and outcome prediction in patients with traumatic spinal cord injury (SCI). METHODS: A systematic review of the literature was conducted to address key questions related to the use of MRI in patients with traumatic SCI. This review focused on longitudinal studies that controlled for baseline neurologic status. A multidisciplinary Guideline Development Group (GDG) used this information, their clinical expertise, and patient input to develop recommendations on the use of MRI for SCI patients. 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 limited available evidence and the clinical expertise of the GDG, our recommendations were: (1) "We suggest that MRI be performed in adult patients with acute SCI prior to surgical intervention, when feasible, to facilitate improved clinical decision-making" (quality of evidence, very low) and (2) "We suggest that MRI should be performed in adult patients in the acute period following SCI, before or after surgical intervention, to improve prediction of neurologic outcome" (quality of evidence, low). CONCLUSIONS: These guidelines should be implemented into clinical practice to improve outcomes and prognostication for patients with SCI.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.448

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
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 integrity0.0000.001
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 head0.068
GPT teacher head0.508
Teacher spread0.439 · 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 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

Citations104
Published2017
Admission routes1
Has abstractyes

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