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Record W3205338816 · doi:10.1038/s41393-021-00711-8

Increasing awareness of degenerative cervical myelopathy: a preventative cause of non-traumatic spinal cord injury

2021· review· en· W3205338816 on OpenAlexaff
Carl Moritz Zipser, Konstantinos Margetis, Karlo M. Pedro, Armin Curt, Michael G. Fehlings, Iwan Sadler, Lindsay Tetreault, Benjamin M. Davies, Mark Kotter, Brian K. Kwon, Shekar N. Kurpad, Vafa Rahimi‐Movaghar, Bizhan Aarabi, James S. Harrop, James D. Guest, Sukhvinder Kalsi‐Ryan, Angus McNair, Julio C. Furlan, Delphine Houghton, Ellen Sarewitz, Julia Carter, Margot Miller, Timothy F. Boerger, Paige Howard, Shirley Widdop, Carla Salzman, Jamie Milligan, Geno J. Merli, Robert HC Chen, Jefferson R. Wilson, Jamie Wilson, Nitin Kimmatkar, Ratko Yurac, Lucy Cameron, Mohamed E. Abdel-Wanis, Bruno Lourenço Costa, Michael Betz, Oke Righteous Obadaseraye, Lianne Wood

Bibliographic record

VenueSpinal Cord · 2021
Typereview
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsKrembil FoundationMcMaster UniversityUniversity of TorontoUniversity Health NetworkVancouver Spine Surgery InstituteUniversity of British ColumbiaToronto Rehabilitation Institute
FundersUniversität ZürichNational Institute for Health and Care Research
KeywordsMedicineMyelopathySpinal cord injurySpinal cordReferralDegenerative DisorderPhysical therapySpinal Cord DiseasesPhysical medicine and rehabilitationPsychiatryInternal medicineDiseaseNursing

Abstract

fetched live from OpenAlex

Degenerative cervical myelopathy (DCM) is a common non-traumatic spinal cord disorder and characterized by progressive neurological impairment. Generally, it is still underdiagnosed and referral to spine specialists is often late, when patients already present with incomplete cervical spinal cord injury (SCI). To improve early diagnosis and accelerate referral, diagnostic criteria for DCM are required. Recently, AO Spine RECODE- DCM (REsearch Objectives and Common Data Elements for Degenerative Cervical Myelopathy) (aospine.org/recode), an international, interdisciplinary and interprofessional initiative, including patients with DCM, was funded with the aim to accelerate knowledge discovery that can change outcomes. In this perspective we advocate for the participation of SCI specialists in this process, where the expertise and perspective on this disorder and requirements for the diagnostic and therapeutic work up is well developed.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.925
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
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 head0.128
GPT teacher head0.453
Teacher spread0.325 · 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
GenreReview

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

Citations26
Published2021
Admission routes1
Has abstractyes

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