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Record W2897194445 · doi:10.2217/fon-2018-0671

Stage III Melanoma Incidence and Impact of Transitioning to the 8th AJCC Staging System: A US Population-Based Study

2018· article· en· W2897194445 on OpenAlexaff
Ahmad A. Tarhini, Sameer R. Ghate, Raluca Ionescu‐Ittu, Sherry Shi, Antônio Nakasato, Briana Ndife, François Laliberté, Rebecca Burne, Mei Sheng Duh

Bibliographic record

VenueFuture Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsGroup for Research in Decision Analysis
FundersNovartis Pharmaceuticals Corporation
KeywordsMedicineMelanomaStage (stratigraphy)Incidence (geometry)Cancer registryPopulationAJCC staging systemCancerOncologyInternal medicineCancer stageStaging systemCancer researchEnvironmental health

Abstract

fetched live from OpenAlex

AIM: To estimate incidence of stage III melanoma using the American Joint Committee on Cancer (AJCC) staging, 7th and 8th edition. PATIENTS & METHODS: The SEER US cancer registry was analyzed (2010-2014). AJCC7 stages were recorded in the data; AJCC8 stages were inferred. RESULTS: Of 106,195 melanoma patients, 7669 and 7342 had stage III melanoma by AJCC7 and AJCC8, respectively (95% overlap). Nearly 30% of patients with AJCC7 stage III melanoma were reclassified in a higher stage III group by AJCC8 versus 7% in lower stage group. Regardless of the AJCC edition, incidence of stage III melanoma has increased from 2010 to 2014 both overall and within each stage III group. CONCLUSION: Providing appropriate management to this growing population of high-risk patients is a priority.

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 score0.022
Threshold uncertainty score0.313

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 head0.011
GPT teacher head0.310
Teacher spread0.299 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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