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Record W2958441110 · doi:10.1111/ajco.13181

Viable versus nonviable positive margins in Ewing sarcoma and associated recurrence rates: A systematic review

2019· review· en· W2958441110 on OpenAlexaff
Dina El Demellawy, Danielle Menzies‐Toman, Michelle Murphy, Ashley Shaw, Elizavita Chernetsova, Joni Serlo, Joseph de Nanassy

Bibliographic record

VenueAsia-Pacific Journal of Clinical Oncology · 2019
Typereview
Languageen
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
Fundersnot available
KeywordsMedicineMargin (machine learning)SarcomaSurgical marginRadiation therapyHistologyResection marginSurgerySoft tissue sarcomaRadiologyResectionPathology

Abstract

fetched live from OpenAlex

Residual tumor after curative intent therapy in patients with Ewing's sarcoma is of great clinical significance. Surgeons use the resection margin to indicate the completeness of a surgical excision. However, this margin may be either nonviable/necrotic or viable. This systematic review examines the 5-year event-free survival rate and local recurrence as a function of positive resection margins that are nonviable/necrotic versus those that are viable. Multiple databases were searched using the Ovid interface. After full text screening, 45 articles that reported either margin or postchemotherapy histology and one or more outcomes of interest were identified, and two articles reported on margin and histology simultaneously. An attempt was made to contact the remaining authors and one author was able to provide additional data. The data from the three studies suggest that prognosis in ES depends on both margin involvement and the postchemotherapy histological response simultaneously. However, radiation therapy likely improves local control in patients with inadequate surgical margins, regardless of histological response. This is an area where there is a paucity of evidence that needs to be rectified to ensure that ES patients are provided the highest quality of evidence-based care.

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)0.007
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.393
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0140.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.196
GPT teacher head0.492
Teacher spread0.296 · 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 designSystematic review
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

Citations3
Published2019
Admission routes1
Has abstractyes

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