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Record W2784072458 · doi:10.1016/j.jaad.2017.10.007

Guidelines of care for the management of cutaneous squamous cell carcinoma

2018· article· en· W2784072458 on OpenAlexfundno aff
Murad Alam, April W. Armstrong, Christian L. Baum, Jeremy S. Bordeaux, Marc D. Brown, Klaus J. Busam, Daniel B. Eisen, Vivek Iyengar, Clifford W. Lober, David J. Margolis, Jane L. Messina, Alexander Miller, Stanley J. Miller, Eliot N. Mostow, Christen M. Mowad, Kishwer S. Nehal, Kristi Schmitt-Burr, Aleksandar Sekulić, Paul A. Storrs, Joyce Teng, Siegrid S. Yu, Conway C. Huang, Kevin Boyer, Wendy Smith Begolka, Christopher K. Bichakjian, John Y. S. Kim, Jeffrey H. Kozlow, Bharat B. Mittal, Jeffrey S. Moyer, Thomas Olenecki, Phillip Rodgers

Bibliographic record

VenueJournal of the American Academy of Dermatology · 2018
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
FundersNational Cancer InstituteAstellas PharmaDUSA PharmaceuticalsRegeneron PharmaceuticalsCelgeneCastle BiosciencesSanofiExelixisMassachusetts General HospitalGenentechValeant Pharmaceuticals InternationalPfizerAmgen
KeywordsMedicineBasal cellDermatologyMEDLINEOncologyInternal medicine

Abstract

fetched live from OpenAlex

Cutaneous squamous cell carcinoma (cSCC) is the second most common form of human cancer and has an increasing annual incidence. Although most cSCC is cured with office-based therapy, advanced cSCC poses a significant risk for morbidity, impact on quality of life, and death. This document provides evidence-based recommendations for the management of patients with cSCC. Topics addressed include biopsy techniques and histopathologic assessment, tumor staging, surgical and nonsurgical management, follow-up and prevention of recurrence, and management of advanced disease. The primary focus of these recommendations is on evaluation and management of primary cSCC and localized disease, but where relevant, applicability to recurrent cSCC is noted, as is general information on the management of patients with metastatic disease.

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)0.005
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.030
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0230.015

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 head0.027
GPT teacher head0.343
Teacher spread0.316 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations581
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the American Academy of DermatologySame topicNonmelanoma Skin Cancer StudiesFrench-language works237,207