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Record W3043197973 · doi:10.3747/co.27.6523

Locoregional Management of in-Transit Metastasis in Melanoma: An Ontario Health (Cancer Care Ontario) Clinical Practice Guideline

2020· article· en· W3043197973 on OpenAlexaffvenueabout
Frances C. Wright, Sarah Kellett, Nicole J. Look Hong, A. Sun, Timothy P. Hanna, Carolyn Nessim, Carman A. Giacomantonio, Claire Temple‐Oberle, X. Song, Teresa M. Petrella

Bibliographic record

VenueCurrent Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsQueen Elizabeth II Health Sciences CentreUniversity of OttawaHealth Sciences CentreUniversity Health NetworkOttawa HospitalUniversity of CalgaryPrincess Margaret Cancer CentreDalhousie UniversityUniversity of TorontoQueen's UniversityCancer Care OntarioMcMaster UniversitySunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineGuidelineMelanomaRadiation therapyMEDLINECancerMetastasisSurgeryGeneral surgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

Objective: The purpose of this guideline is to provide guidance on appropriate management of satellite and in-transit metastasis (itm) from melanoma. Methods: The guideline was developed by the Program in Evidence-Based Care (pebc) of Ontario Health (Cancer Care Ontario) and the Melanoma Disease Site Group. Recommendations were drafted by a Working Group based on a systematic review of publications in the medline and embase databases. The document underwent patient- and caregiver-specific consultation and was circulated to the Melanoma Disease Site Group and the pebc Report Approval Panel for internal review; the revised document underwent external review. Recommendations: “Minimal itm” is defined as lesions in a location with limited spread (generally 1–4 lesions); the lesions are generally superficial, often clustered together, and surgically resectable. “Moderate itm” is defined as more than 5 lesions covering a wider area, or the rapid development (within weeks) of new in-transit lesions. “Maximal itm” is defined as large-volume disease with multiple (>15–20) 2–3 cm nodules or subcutaneous or deeper lesions over a wide area. (1) In patients presenting with minimal itm, complete surgical excision with negative pathologic margins is recommended. In addition to complete surgical resection, adjuvant treatment may be considered. (2) In patients presenting with moderate unresectable itm, consider using this approach for localized treatment: intralesional interleukin 2 or talimogene laherparepvec as 1st choice, topical diphenylcyclopropenone as 2nd choice, or radiation therapy as 3rd choice. Evidence is insufficient to recommend intralesional bacille Calmette– Guérin or CO2 laser ablation outside of a research setting. (3) In patients presenting with maximal itm confined to an extremity, isolated limb perfusion, isolated limb infusion, or systemic therapy may be considered. In extremely select cases, amputation could be considered as a final option in patients without systemic disease after discussion at a multidisciplinary case conference. (4) In cases in which local, regional, or surgical treatments for itm might be ineffective or unable to be performed, or if a patient has systemic metastases at the same time, systemic therapy may be considered.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.192
GPT teacher head0.477
Teacher spread0.285 · 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 designNot applicable
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

Citations16
Published2020
Admission routes3
Has abstractyes

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