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Recurrent disease in patients with stage III melanoma in the era of adjuvant immune and targeted therapy.

2021· article· en· W3171802215 on OpenAlexaffabout
Victor Lo, Valerie Francescutti, Elaine McWhirter, Forough Farrokhyar, Linda May Lee

Bibliographic record

VenueJournal of Clinical Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsJuravinski Cancer CentreNiagara Health SystemMcMaster University
Fundersnot available
KeywordsMedicineMelanomaAdjuvant therapySurgeryStage (stratigraphy)Sentinel lymph nodeDissection (medical)CancerAdjuvantLymph nodeBiopsyInternal medicineBreast cancer

Abstract

fetched live from OpenAlex

e21570 Background: Advancements in systemic therapy have reduced recurrence, and the adoption of nodal surveillance in place of dissection has reduced morbidity for patients with Stage III melanoma. The objective of this study was to describe the timing and pattern of recurrence in stage III melanoma patients and evaluate the impact of adjuvant treatment and nodal surveillance. Methods: A multicenter retrospective chart review of patients with pathologically confirmed Stage III cutaneous melanoma seen at either the Juravinski Cancer Centre or Walker Family Cancer Centre in Ontario, Canada from January 1, 2017 to December 31, 2019. Results: There were 137 patients with Stage III melanoma: 18% IIIA, 22% IIIB, 52% IIIC, and 8% Stage IIID as per the 8th American Joint Committee on Cancer (AJCC) 2018 staging system. 103 (75%) patients had sentinel lymph node biopsy (SLNB) only as part of initial surgical therapy, 6 (4%) had SLNB with completion dissection, and 25 (18%) had upfront radical nodal dissection. 67 (49%) patients received adjuvant therapy, of which 50 (74%) had immunotherapy, 17 (25%) received BRAF-targeted therapy, and 1 (1%) had interferon. 54 (39%) patients developed recurrent disease, with a median time to recurrence of 8.5 months (IQR: 4.3-14.9). The recurrence rates were 63% in patients who did not have adjuvant treatment and 37% in those who had adjuvant therapy, with a median time-to-recurrence of 7.5 and 9.0 months respectively. There were 30 (56%) loco-regional recurrences and 24 (44%) distant recurrences. Of the patients with loco-regional recurrence, 26 (87%) had SLNB only compared to 4 (13%) who had upfront or completion dissection. 12 (24%) patients recurred while on adjuvant treatment (7 distant recurrences and 5 loco-regional recurrences), and 8 (13%) patients recurred following completion of adjuvant treatment (5 distant recurrences and 3 loco-regional recurrences). Recurrences were detected by patients, clinicians, CT and nodal US surveillance in 43%, 20%, 28% and 9% of cases, respectively. The majority of loco-regional recurrence was detected clinically (67%) rather than by radiologic surveillance (33%). Of the 30 loco-regional recurrences, 24 underwent surgical resection of the recurrence, 4 had subsequent systemic therapy without surgery, 1 had intra-tumoral injections and 1 had no treatment. Conclusions: Recurrences in Stage III melanoma occur early, often within a year, with higher rates of loco-regional rather than distant disease. Recurrence rates were lower in those who received adjuvant therapy, but the majority of recurrences were detected by patients or clinicians, including loco-regional recurrences in patients who had SLNB only despite surveillance nodal US.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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

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 head0.040
GPT teacher head0.369
Teacher spread0.329 · 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".

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Citations1
Published2021
Admission routes2
Has abstractyes

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