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Record W2023275017 · doi:10.1177/1203475415575233

Primary Cutaneous Carcinosarcoma of the Basal Cell Subtype Should Be Treated as a High-Risk Basal Cell Carcinoma

2015· article· en· W2023275017 on OpenAlexaff
Émilie Bourgeault, Jimmy Alain, Éric Gagné

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2015
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCarcinosarcomaMedicineBasal cell carcinomaPathologySkin cancerBiopsyMetastasisCarcinomaMelanomaCurettageStromaMerkel cellCancerMerkel cell carcinomaBasal cellCancer researchInternal medicineImmunohistochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Cutaneous carcinosarcoma is a rare primary tumor of the skin, characterized by biphasic epithelial and mesenchymal differentiation. OBJECTIVE: Due to the limited number of cases reported, there is no consensus regarding treatment and prognosis. Some authors suggest that cutaneous carcinosarcomas should be viewed as aggressive tumors, with ancillary imaging used to evaluate potential metastatic disease. Other reports demonstrate an indolent disease course, especially with epidermal-type cutaneous carcinosarcomas. METHODS: We report a case of cutaneous carcinosarcoma, which we treated with electrodessication and curettage following a shave biopsy. The tumor had an epithelial component resembling a basal cell carcinoma and a fibrosarcomatous stroma. RESULTS: At 1-year follow-up, our patient did not show evidence of recurrence or metastasis. CONCLUSIONS: Our case suggests that a cutaneous carcinosarcoma with an epithelial component composed of basal cell carcinoma can be regarded as a high-risk nonmelanoma skin cancer.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.881

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.039
GPT teacher head0.261
Teacher spread0.223 · 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

Citations8
Published2015
Admission routes1
Has abstractyes

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