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Record W2416145355 · doi:10.1097/bsd.0000000000000387

Surgical Treatment of Thoracic Spinal Cord Herniation

2016· article· en· W2416145355 on OpenAlexfundno aff
Jose Alfredo Corredor, Roger Härtl

Bibliographic record

VenueClinical Spine Surgery A Spine Publication · 2016
Typearticle
Languageen
FieldMedicine
TopicSpinal Dysraphism and Malformations
Canadian institutionsnot available
FundersUniversity of British Columbia
KeywordsMedicineSurgerySpinal cordThoracic vertebraeLumbar vertebrae

Abstract

fetched live from OpenAlex

Thoracic spinal cord herniation (TSCH) is an unusual condition characterized by central displacement of the spinal cord through a dural defect, resulting in neurological impairment due to compression and vascular compromise. Different surgical techniques have been described to treat symptomatic patients with TSCH such as closure of the defect by primary sutures after reducing the spinal cord, widening the dural defect to prevent cord strangulation, or reducing the spinal cord and using a dural patch. Through a case presentation of a 62-year-old woman with TSCH, we describe step-by-step, a surgical technique for repair by reducing the spinal cord and using a dural patch. In our experience surgical reduction of the hernia will frequently improve the patient's symptoms and signs even in patients with longstanding deficits. The final objective of this surgical technique is to prevent recurrent herniation and progressive deficit.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.104
GPT teacher head0.432
Teacher spread0.328 · 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 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

Citations10
Published2016
Admission routes1
Has abstractyes

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