ArticleCanadian Urological Association journal = Journal de l'Association des urologues du Canada2019
Canadian consensus algorithm for erectile rehabilitation following prostate cancer treatment.
Article in Canadian Urological Association journal = Journal de l'Association des urologues du Canada, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.
- Gender bias in shared decision-making among cancer care guidelines: A systematic review.Health expectations : an international journal of public participation in health care and health policy · 2023Pooled it
- Recommendations on Weight Loss and Healthy Lifestyle in Prostate Cancer Clinical Guidelines: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- Openness to Using an External Penile Prosthesis for Maintaining Sexual Intimacy by Individuals with Erectile Dysfunction: A Cross-Sectional Study.Sexual medicine · 2022Article
- Sexual rehabilitation recommendations for prostate cancer survivors and their partners from a biopsychosocial Prostate Cancer Supportive Care Program.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- Psychosocial contributors to patients' and partners' postprostate cancer sexual recovery: 10 evidence-based and practical considerations.International journal of impotence research · 2021Review
- Sexual function and rehabilitation after radiation therapy for prostate cancer: a review.International journal of impotence research · 2021Review
Corrections and comments
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Authors and funding
15 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe present descriptive analysis carried out by a pan-Canadian panel of expert healthcare practitioners (HCPs) summarizes best practices for erectile rehabilitation following prostate cancer (PCa) treatment. This algorithm was designed to support an online sexual health and rehabilitation e-clinic (SHARe-Clinic), which provides biomedical guidance and supportive care to Canadian men recovering from PCa treatment. The implications of the algorithm may be used inform clinical practice in community settings.
methodsMen's sexual health experts convened for the TrueNTH Sexual Health and Rehabilitation Initiative Consensus Meeting to address concerns regarding erectile dysfunction (ED) therapy and management following treatment for PCa. The meeting brought together experts from across Canada for a discussion of current practices, latest evidence-based literature review, and patient interviews.
resultsAn algorithm for ED treatment following PCa treatment is presented that accounts for treatment received (surgery or radiation), degree of nerve-sparing, and level of pro-erectile treatment invasiveness based on patient and partner values. This algorithm provides an approach from both a biomedical and psychosocial focus that is tailored to the patient/partner presentation. Regular sexual activity is recommended, and the importance of partner involvement in the treatment decision-making process is highlighted, including the management of partner sexual concerns.
conclusionsThe algorithm proposed by expert consensus considers important factors like the type of PCa treatment, the timeline of erectile recovery, and patient values, with the goal of becoming a nationwide standard for erectile rehabilitation following PCa treatment.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.