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Record W4399122510 · doi:10.1016/j.ejcskn.2024.100248

Survival Outcomes in T3N0 versus N1 in Head and Neck Cutaneous Squamous Cell Carcinoma – Implications for Neoadjuvant Immune Checkpoint Inhibitor Immunotherapy

2024· article· en· W4399122510 on OpenAlexaboutno aff
Amanda E. Yung, Yeon Joo Jeong, Alexander H. R. Varey, Serigne Lo, Ruta Gupta, Raymond Wu, Maureen Dunn, Jenny Lee, Tsu‐Hui Low, Kerwin F. Shannon, Jonathan R. Clark, Sydney Ch’ng

Bibliographic record

VenueEJC Skin Cancer · 2024
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHead and neckImmunotherapyOncologyHead and neck squamous-cell carcinomaBasal cellImmune checkpointComplete responseInternal medicineRadiation therapyHead and neck cancerChemotherapyCancerSurgery

Abstract

fetched live from OpenAlex

Background: Based on encouraging clinical outcomes in unresectable locally advanced or metastatic cutaneous squamous cell carcinoma (cSCC), the role of immune checkpoint inhibitor (ICI) immunotherapy in the (neo)adjuvant setting for earlier-stage [AJCC stage II-IV (M0)] disease is being investigated. Although pN1 disease is not included in current adjuvant trials, including C-POST (NCT03969004) and Keynote 630 (NCT03833167) where postoperative adjuvant radiotherapy remains a prerequisite, pathological staging is unavailable for neoadjuvant clinical trials and therefore, patients with isolated cN1 disease will still be included.

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)0.014
metaresearch head score (Gemma)0.031
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.031
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.013
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.026
GPT teacher head0.327
Teacher spread0.301 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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