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Real-world changes in the clinical management of resected stage III melanoma at high risk of local recurrence in the era of modern systemic therapies.

2022· article· en· W4286297736 on OpenAlexafffundabout
Seth Kibel, Nathan Kuehne, M.F. Silva Almeida Ribeiro, Thiago Pimentel Muniz, Philip Wong, Anna Spreafico, David Hogg, Sam Saibil, A. Sun, David Y. Mak, Diana Gray, Marcus O. Butler

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreUniversity of Toronto
FundersPrincess Margaret Cancer Foundation
KeywordsMedicineMelanomaSystemic therapyStage (stratigraphy)Adjuvant therapyLymph nodeAdjuvantCancerDissection (medical)Radiation therapySurgeryMedical recordInternal medicineRetrospective cohort studyOncologyBreast cancer

Abstract

fetched live from OpenAlex

e21575 Background: Adjuvant systemic therapies (ST) for patients with resected stage III melanoma have improved relapse-free survival; however, the role of adjuvant radiotherapy (RT), previously the mainstay adjuvant treatment, is undefined in the modern ST era. Real-world data detailing clinical practice changes and its impact on outcomes are needed to help inform the choice of adjuvant therapy for patients with resected stage III melanoma. Methods: In this single-center retrospective study, patients from Princess Margaret Cancer Centre with resected stage III cutaneous melanoma treated between 2010 and 2019 and fitting the 2016 Cancer Care Ontario guidelines for adjuvant RT were included. Demographic, pathological, and clinical data were abstracted from electronic medical records. PFS was defined as the time from lymph node dissection to local-regional recurrence in the treated nodal basin or distant recurrence. OS was defined as time from lymph node dissection to death by any cause. The Log-rank method was applied to assess survival endpoints. A p-value < 0.05 was considered statistically significant. Results: From 4,959 records reviewed, 109 patients were identified. Median age at time of surgical resection was 59.4 years (23.6-89.8), and 74 (68%) were male. Type of adjuvant therapy and number of local-regional recurrences (LR) are expressed in the table. The median follow-up among those alive at last follow-up was 54.2 months (range 1.9-122). The proportion of patients receiving adjuvant RT was higher between 2010 and 2014 than it was between 2015 and 2019 (59% to 26%), whilst the proportion of those receiving adjuvant ST progressively grew (3% to 50%). LR > 90 days following lymph node dissection as the first site of relapse or synchronously with progression to metastatic disease was rare in patients treated with either adjuvant RT (6.8%) or adjuvant ST (14.3%, chi-square p = 0.33). Median progression free survival was 12.3 months in patients treated with adjuvant RT and 43.8 months in patients treated with adjuvant ST (p = 0.007). Overall survival was not significantly different (p = 0.08). Conclusions: The advent of ST has changed our institution’s clinical practice with ST replacing RT as the primary adjuvant treatment modality. Our data suggests that in the current adjuvant treatment landscape, omission of RT does not seem to increase rates of local-regional recurrences, and patients with resected stage III melanoma can be safely spared from adjuvant RT without detrimental effect on survival.[Table: see text]

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)0.002
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
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 head0.091
GPT teacher head0.416
Teacher spread0.325 · 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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Citations0
Published2022
Admission routes3
Has abstractyes

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