Evidence Hub

Sexual function outcomes following prostate cancer treatment in sexual and gender minority populations: a mixed-methods systematic review

Burr KA, Chen CH, Kharwadkar S, Liu WME, Cotton A, Yap T

Translational andrology and urology, 2026

Abstract

Background: The impact of prostate cancer (PCa) treatments on sexual function outcomes remains poorly understood in heterosexual men and even less so in sexual and gender minority (SGM) patients. This review aims to provide a greater understanding of the unique challenges PCa treatment presents to this population.

Methods: A systematic review was conducted using PRISMA guidelines (CRD42024609973). A search was conducted across EMBASE, Ovid MEDLINE, Global Health, APA PsycInfo, APA PsycTherapy and AMED. With inclusion criteria of (I) SGM patients, (II) reported sexual function outcomes, and (III) after PCa treatment of either surgery, radiotherapy, hormone therapy, chemotherapy, or focal therapy. Two independent reviewers conducted data extraction using line-by-line coding within NVivo software (15.0.0). A mixed-methods approach was used to combine data. Independent critical appraisal was conducted using Joanna Briggs Institute checklists and the Mixed Methods Appraisal Tool.

Results: Of 12,532 titles reviewed, 35 records met the inclusion criteria. Three main themes were found: sexual implications, psychological implications and relational implications. As the data had minimal inclusion of gender minorities the findings are primarily applicable to sexual minority (SM) patients. Compared to heterosexual counterparts, the negative impact of anejaculation, urinary outcomes and climacturia was greater in SM patients. SM patients are more likely to experience a change in…

How strong is the evidence?

Evidence Hub reads this as a systematic review, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free