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Record W2932801357 · doi:10.5489/cuaj.5712

Patient presentation, differential diagnosis, and management of penile lesions.

2019· review· en· W2932801357 on OpenAlexaff
Juan Chipollini, Alfredo Harb De la Rosa, Mounsif Azizi, Bobby Shayegan, Kevin C. Zorn, Philippe E. Spiess

Bibliographic record

VenuePubMed · 2019
Typereview
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsUniversité de MontréalMcMaster University
Fundersnot available
KeywordsMedicineDifferential diagnosisPresentation (obstetrics)GlansGlans penisCase presentationConservative managementTreatment modalityModalitiesPenisSurgeryRadiologyDermatologyPathology

Abstract

fetched live from OpenAlex

Penile lesions may arise from the squamous epithelium of the glans, prepuce, or shaft. Due to often delayed medical presentation after initial onset, it is necessary for the urologist to appropriately and effectively diagnose and manage these lesions in order to optimize outcomes and minimize morbidity. Herein, we review the differential diagnosis and basic diagnostic approaches of penile lesions. We emphasize the need for awareness of premalignant and malignant tumours. We also review common office-based treatment modalities for benign and malignant lesions.

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)0.000
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.081
GPT teacher head0.343
Teacher spread0.262 · 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
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
Published2019
Admission routes1
Has abstractyes

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