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Genital verrucous carcinoma is associated with lichen sclerosus: a retrospective study and review of the literature

2009· review· en· W1489599371 on OpenAlexaff
Wang Sh, YW Wong, A. Salim, Sanjiv Manek, Fenella Wojnarowska

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2009
Typereview
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsVerrucous carcinomaLichen sclerosusMedicineSex organDermatologyCarcinomaHistopathologyAnal CarcinomaPenile CarcinomaBasal cell carcinomaPathologyBasal cellAnal canalPenisSurgeryRectumPenile cancer

Abstract

fetched live from OpenAlex

BACKGROUND: The association of lichen sclerosus (LS) with genital squamous cell carcinoma is well recognized. However, the relationship between LS and verrucous carcinoma remains unclear. OBJECTIVE: To evaluate the associations of genital and perianal verrucous carcinomas with LS. METHODS: We conducted a retrospective study on patients with a genital or perianal verrucous carcinoma and reviewed their histopathology specimens and clinical notes. We also conducted a literature review. RESULTS: We identified a total of 13 patients (including 6 women and 7 men) with a genital or perianal verrucous carcinoma. All 5 women with vulval verrucous carcinoma had coexisting LS (5/5), and 1 man with penile verrucous carcinoma had coexisting LS (1/3). In contrast, no coexisting LS was found in all 5 cases of perianal verrucous carcinoma (0/5). Half of the cases of verrucous carcinoma with coexisting LS had recurrences (3/6), while no recurrences were found in those without coexisting LS (0/7). CONCLUSIONS: Our study and review of the literature demonstrate that vulval verrucous carcinoma is strongly associated with LS. In contrast, perianal verrucous carcinoma is not associated with LS. When genital verrucous carcinoma is diagnosed, it is important to consider LS as a potential concomitant diagnosis and offer appropriate treatments and close follow-up to detect recurrence of verrucous carcinoma.

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)0.000
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: Review · Consensus signal: Review
Teacher disagreement score0.302
Threshold uncertainty score0.679

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.029
GPT teacher head0.317
Teacher spread0.287 · 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
GenreReview

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

Citations31
Published2009
Admission routes1
Has abstractyes

Explore more

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