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Record W1974562009 · doi:10.1586/era.10.47

Management of metastatic spinal cord compression

2010· review· en· W1974562009 on OpenAlexaff
Kevin Shiue, Arjun Sahgal, Edward Chow, Stephen Lutz, Eric Chang, Nina A. Mayr, Jian Z. Wang, Robert Cavaliere, Ehud Mendel, Simon S. Lo

Bibliographic record

VenueExpert Review of Anticancer Therapy · 2010
Typereview
Languageen
FieldMedicine
TopicManagement of metastatic bone disease
Canadian institutionsSunnybrook HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineSpinal cord compressionParaplegiaRadiation therapySpinal cordMetastasisComplicationRadiologySurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

Spinal cord compression (SCC) from spinal metastasis is a common complication in cancer and if left untreated, permanent paraplegia or quadriplegia will occur. Timely diagnosis is crucial in preventing permanent neurologic damage. Once SCC is suspected, diagnostic imaging of the spine should be obtained to confirm diagnosis. Treatment consists of surgery, radiotherapy or a combination of both. Stereotactic body radiotherapy has also been incorporated into the management of SCC. The treatment decision should be made based on multiple factors, including tumor histology, retropulsion of bony fragments, performance status of the patient and status of extraspinal systemic disease. This review focuses on the pathophysiology, diagnosis and management of SCC.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.097
GPT teacher head0.473
Teacher spread0.375 · 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
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

Citations36
Published2010
Admission routes1
Has abstractyes

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