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Record W2587467701 · doi:10.1097/brs.0000000000002094

En Bloc Resection Versus Intralesional Surgery in the Treatment of Giant Cell Tumor of the Spine

2017· article· en· W2587467701 on OpenAlexaff
Raphaële Charest-Morin, Charles G. Fisher, Péter Varga, Ziya L. Gokaslan, Laurence D. Rhines, Jeremy Reynolds, Mark B. Dekutoski, Nasir A. Quraishi, Mark H. Bilsky, Michael G. Fehlings, Dean Chou, Niccole Germscheid, Alessandro Luzzati, Stefano Boriani

Bibliographic record

VenueSpine · 2017
Typearticle
Languageen
FieldMedicine
TopicBone Tumor Diagnosis and Treatments
Canadian institutionsVancouver General HospitalUniversity of British ColumbiaCentre hospitalier universitaire de Québec
Fundersnot available
KeywordsMedicineSurgeryDemographicsObservational studyInternal medicine

Abstract

fetched live from OpenAlex

STUDY DESIGN: Multicenter, ambispective observational study. OBJECTIVE: The aim of this study was to quantify local recurrence (LR) and mortality rates after surgical treatment of spinal giant cell tumor and to determine whether en bloc resection with wide/marginal margins is associated with improved prognosis compared to an intralesional procedure. SUMMARY OF BACKGROUND DATA: Giant cell tumor (GCT) of the spine is a rare primary bone tumor known for its local aggressiveness. Optimal surgical treatment remains to be determined. METHODS: The AOSpine Knowledge Forum Tumor developed a comprehensive multicenter database including demographics, presentation, diagnosis, treatment, mortality, and recurrence rate data for GCT of the spine. Patients were analyzed based on surgical margins, including Enneking appropriateness. RESULTS: Between 1991 and 2011, 82 patients underwent surgery for spinal GCT. According to the Enneking classification, 59 (74%) tumors were classified as S3-aggressive and 21 (26%) as S2-active. The surgical margins were wide/marginal in 27 (36%) patients and intralesional in 48 (64%) patients. Thirty-nine of 77 (51%) underwent Enneking appropriate (EA) treatment and 38 (49%) underwent Enneking inappropriate (EI) treatment. Eighteen (22%) patients experienced LR. LR occurred in 11 (29%) EI-treated patients and six (15%) EA-treated patients (P = 0.151). There was a significant difference between wide/marginal margins and intralesional margins for LR (P = 0.029). Seven (9%) patients died. LR is strongly associated with death (Relative Risk 8.9, P < 0.001). Six (16%) EI-treated patients and one (3%) EA-treated patients died (P = 0.056). With regards to surgical margins, all patients who died underwent intralesional resection (P = 0.096). CONCLUSION: En bloc resection with wide/marginal margins should be performed when technically feasible because it is associated with decreased LR. Intralesional resection is associated with increased LR, and mortality correlates with LR. LEVEL OF EVIDENCE: 3.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.038
GPT teacher head0.307
Teacher spread0.269 · 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

Citations77
Published2017
Admission routes1
Has abstractyes

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