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Record W4407700797 · doi:10.1200/jco.2025.43.5_suppl.2

Prevention, diagnosis, and management of penile cancer in the LGBTQ+ community: A systematic review and meta-analysis.

2025· review· en· W4407700797 on OpenAlexaboutno aff
Akshit Chitkara, FNU Anamika, Atulya Aman Khosla, Sakshi Bai, Arshia Adib, Rushin Patel, Rohit Singh

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typereview
Languageen
FieldMedicine
TopicGenital Health and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePenile cancerMeta-analysisCancerOncologyGynecologyIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

2 Background: Penile cancer is a rare but significant malignancy with unique prevention, diagnosis, and treatment challenges within the LGBTQ+ community. This systematic review and meta-analysis aims to evaluate the existing evidence on penile cancer for LGBTQ+ individuals, addressing disparities and unique needs to improve clinical outcomes. Methods: Following PRISMA 2020 guidelines, a systematic search was conducted across PubMed, Embase, Scopus, and clinical trial registries up to September 2024. Studies were included if they involved penile cancer prevention, screening, or treatment in LGBTQ+ populations, with no restrictions on study design or language. Data extraction focused on epidemiological patterns, risk factors (e.g., HPV infection), screening practices, diagnostic approaches, treatment modalities, and outcomes. The risk of bias was assessed using the Newcastle-Ottawa Scale for cohort studies and the Cochrane risk-of-bias tool for randomized controlled trials. The meta-analysis used a random-effects model to pool prevention and treatment outcomes data. Results: Of the 872 studies screened, 18 met the inclusion criteria, encompassing 1,232 LGBTQ+ patients. High-risk populations included men who have sex with men (MSM) and transgender women with elevated rates of HPV-associated penile cancer. HPV vaccination was underutilized in these populations despite its potential to prevent penile cancer. Early diagnosis was often delayed due to stigma, lack of awareness, and healthcare access barriers. Treatment outcomes varied, with higher rates of post-surgical complications and psychological distress reported. Meta-analysis revealed that HPV vaccination reduced the risk of penile cancer by 60% (pooled relative risk: 0.40, 95% CI: 0.25-0.64), while early surgical intervention improved 5-year survival rates by 45% (HR: 0.55, 95% CI: 0.32-0.79). Conclusions: Penile cancer prevention and management in LGBTQ+ populations require tailored strategies, including increased HPV vaccination coverage, early screening, and culturally competent healthcare. Addressing barriers related to stigma and healthcare access could significantly improve outcomes. Further research is needed to optimize treatment protocols and incorporate LGBTQ+-specific considerations in penile cancer care. Summary of meta-analysis results. Outcome Measure Number of Studies Pooled Effect Estimate 95% Confidence Interval (CI) Heterogeneity (I²) % HPV Vaccination Effectiveness 8 Relative Risk (RR): 0.40 0.25–0.64 42 Barriers to Early Diagnosis 5 Odds Ratio (OR): 2.25 (higher risk) 1.45–3.51 38 Post-Surgical Complication Rate 4 Risk Ratio (RR): 1.30 (higher rate) 1.12–1.50 27 Psychological Distress Post-Treatment 3 Standard Mean Difference (SMD): 0.75 0.50–1.00 60 5-Year Survival Improvement with Early Surgery 6 Hazard Ratio (HR): 0.55 0.32–0.79 49

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)0.013
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.034
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0160.038
Bibliometrics0.0080.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.465
GPT teacher head0.627
Teacher spread0.162 · 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 designMeta-analysis
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

Citations1
Published2025
Admission routes1
Has abstractyes

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