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CERVICAL SPONDYLOTIC MYELOPATHY TREATED BY OBLIQUE CORPECTOMY

2008· article· en· W2028952306 on OpenAlexaff
Talat Kırış, Cumhur Kılınçer

Bibliographic record

VenueNeurosurgery · 2008
Typearticle
Languageen
FieldMedicine
TopicCervical and Thoracic Myelopathy
Canadian institutionsCegep de Sept Iles
Fundersnot available
KeywordsMedicineCorpectomyOrthopedic surgerySurgeryRadiological weaponSpinal fusionMyelopathyCervical vertebraeProspective cohort studySpinal cordCervical spine

Abstract

fetched live from OpenAlex

OBJECTIVE: Anterolateral partial oblique corpectomy (OC) aims to decompress the cervical spinal cord without subsequent fusion and saves the patient from graft-, instrument-, and fusion-related complications. Although it is a promising technique, there are few studies dealing with its efficacy and safety. METHODS: In this prospective study, 40 consecutive patients underwent an OC (one to four levels from C3 to C7) for cervical spondylotic myelopathy; they ranged in age from 43 to 78 years (mean, 55 yr). The average follow-up period was 59 months (range, 24-98 mo). Clinical and radiological data were analyzed to assess the results and find possible factors related to outcomes. RESULTS: Thirty-seven (92.5%) of the 40 patients improved by the 6-month follow-up examination according to the Japanese Orthopedic Association score. The improvement was the most prominent in lower extremity dysfunction. Recovery was positively correlated with the preoperative Japanese Orthopedic Association score (r = 0.37, P = 0.018). Permanent Horner's syndrome developed in four patients (10%). During the long-term follow-up period, neurological improvement was maintained and there were no signs of postoperative instability, posture change, or axial pain. CONCLUSION: OC for treating multilevel cervical spondylotic myelopathy achieved good results with a low morbidity rate. The results of the current study suggest that OC is a good alternative to conventional median corpectomy and fusion techniques in selected cases.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.021
GPT teacher head0.241
Teacher spread0.221 · 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 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

Citations46
Published2008
Admission routes1
Has abstractyes

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