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Penile cancer

2011· review· en· W8196957 on OpenAlexaff
Julien Letendre, Fred Saad, Jean‐Baptiste Lattouf

Bibliographic record

VenueCurrent Opinion in Supportive and Palliative Care · 2011
Typereview
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicinePenile cancerDiseaseOccultLymphadenectomyIntensive care medicineCancerLocalized diseaseSurgeryGeneral surgeryDermatologyPenisProstate cancerPathologyInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This article reviews the epidemiology, diagnostic modalities and treatment of localized and advanced penile cancer, with special emphasis on most recent findings from the literature. RECENT FINDINGS: Penile cancer is a rare disease and its treatment suffers from a paucity of evidence in the literature. Risk factors include phimosis with poor hygiene, human papilloma virus infections, chronic balanitis xerotica obliterans and smoking, among others. Surgical treatment for local disease remains the best option, but organ-preserving procedures provide good aesthetic and functional results with acceptable oncologic control. Regional disease, when present in the form of adenopathy, is best diagnosed with fine-needle aspiration, and treated with radical inguinal lymphadenectomy if resectable. Occult metastatic disease constitutes a challenge and is managed according to primary tumour risk factors. For nonresectable regional disease and metastases, neoadjuvant cisplatinum-based regimens are the best option, and provide a selection of patients who will be optimal candidates to consolidative surgical therapies. SUMMARY: Penile cancer at its various stages constitutes a therapeutic challenge. Management should be increasingly confined to high volumes centres of excellence, allowing for clinical trials, which will hopefully provide a better understanding of the disease and the best treatment approach.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.294
GPT teacher head0.509
Teacher spread0.215 · 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.

Study designNot applicable
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

Citations14
Published2011
Admission routes1
Has abstractyes

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