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Record W2959222914 · doi:10.1097/dss.0000000000002029

Cutaneous Leiomyosarcoma: A SEER Database Analysis

2019· article· en· W2959222914 on OpenAlexaff
Neelam Sandhu, Andrew P. Sauvageau, Adrienne Groman, Paul N. Bogner

Bibliographic record

VenueDermatologic Surgery · 2019
Typearticle
Languageen
FieldMedicine
TopicVascular Tumors and Angiosarcomas
Canadian institutionsUniversity of British ColumbiaProvidence Health Care
Fundersnot available
KeywordsLeiomyosarcomaAtypical fibroxanthomaMedicineAngiosarcomaSarcomaNeoplasmUndifferentiated Pleomorphic SarcomaWide local excisionEpidemiologyPathologyDatabaseSoft tissue sarcomaImmunohistochemistry

Abstract

fetched live from OpenAlex

BACKGROUND: Cutaneous leiomyosarcoma is a rare dermal neoplasm usually arising from the pilar smooth muscle. It is considered a relatively indolent neoplasm, and there is debate whether designation as sarcoma is appropriate. Owing to some conflicting data in the literature, however, its behavior warrants further clarification. OBJECTIVE: To determine the clinical behavior and demographic and pathologic characteristics of cutaneous leiomyosarcoma. MATERIALS AND METHODS: The Surveillance, Epidemiology and End Results database was used to collect data on cutaneous leiomyosarcoma and 2 reference populations: cutaneous angiosarcoma (aggressive) and atypical fibroxanthoma (indolent). Demographic and oncologic characteristics were examined, and overall survivals (OS) and disease-specific survivals were compared. RESULTS: Leiomyosarcoma and atypical fibroxanthoma displayed lower stage (localized: 69.7% and 66.8% respectively), smaller size (<3 cm: 90.5% and 72%), and lower rates of disease-specific mortality (2.9% and 7.8%) compared with angiosarcoma. Patients with leiomyosarcoma had a 5-year disease-specific survival rate of 98% and OS rate of 85%. CONCLUSION: Cutaneous leiomyosarcoma shows outcomes similar to atypical fibroxanthoma. It is nearly always indolent and should be distinguished from more aggressive cutaneous and subcutaneous sarcomas. Clear communication of the biologic potential may be best achieved using alternate diagnostic terminology such as "atypical intradermal smooth-muscle neoplasm."

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.016
GPT teacher head0.242
Teacher spread0.226 · 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; both teacher heads agree on what is shown here.

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

Citations25
Published2019
Admission routes1
Has abstractyes

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