MétaCan
Menu
Back to cohort
Record W4406292075 · doi:10.1093/jncics/pkaf005

Sex differences in melanoma survival—a GEM study

2025· article· en· W4406292075 on OpenAlex
Tharani Murali, Matthew Schwartz, Adam Z. Reynolds, Li Luo, Grace Ridgeway, Klaus J. Busam, Anne Ε. Cust, Hoda Anton‐Culver, Richard P. Gallagher, Roberto Zanetti, Stefano Rosso, Lidia Sacchetto, Colin B. Begg, Irene Orlow, Nancy E. Thomas, Marianne Berwick, Tawny W. Boyce, Bruce K. Armstrong, Anne Kricker, Alison Venn, Terence Dwyer, Paul Tucker, Loraine D. Marrett, Stephen B. Gruber, Shu-Chen Huang, Kathleen Conway, David W. Ollila, Paul B. Googe, Sharon N. Edmiston, Honglin Hao, Eloise Parrish, David Gibbs, Timothy R. Rebbeck, Peter A. Kanetsky, Julia Lee Taylor, S. Madronich, Pampa Roy, Rebecca Canchola, Emily LaPilla, Sarah Yoo, Ajay Sharma, Javier Cotignola, Alison Eaton, Pamela A. Groben, Kirsten White, Amy V. Walker, Saarene Panossian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJNCI Cancer Spectrum · 2025
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsBC Cancer FoundationUniversity of British ColumbiaBC Cancer Agency
FundersLineberger Comprehensive Cancer Center, University of North Carolina at Chapel HillCancer Council NSWUniversity of California, IrvineUniversity of North Carolina at Chapel HillNational Institutes of HealthMoffitt Cancer CenterMenzies Institute for Medical ResearchUniversity of TasmaniaUniversity of OxfordMemorial Sloan-Kettering Cancer CenterCancer Care OntarioNational Cancer InstituteEmory UniversityCity of HopeUniversity of Pennsylvania
KeywordsMedicineMelanomaMEDLINEInternal medicineOncologyCancer research

Abstract

fetched live from OpenAlex

Sex differences in melanoma are prominent, with female having a significant survival advantage. However, it is unclear why we see this survival advantage. Here, we investigate the relationship between sex, clinicopathologic variables, and melanoma specific survival in 1753 single primary melanomas from patients in the GEM (Genes, Environment, and Melanoma) study. Using Cox proportional hazard models and formal mediation analysis, the effect of sex on survival is explained largely by differences in the clinicopathologic features of tumors at diagnosis. Specifically, we find evidence that 86.5% of the effect of sex on melanoma survival is mediated by differences in age at diagnosis, Breslow thickness, ulceration, mitoses, and site (hazard ratio [HR] = 1.85, P < .001). This analysis indicates that the female survival advantage in melanoma is not primarily due to a direct effect of sex (HR = 1.19, P = .42) but is largely a result of an indirect effect of sex mediated by clinicopathologic features.

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.

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 score0.019
Threshold uncertainty score0.857

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)0.0010.000

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 head0.021
GPT teacher head0.297
Teacher spread0.276 · 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