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MP47-06 REVIEWING THE CANADIAN LANDSCAPE OF RESTORATIVE THERAPIES FOR ERECTILE DYSFUNCTION

2024· article· en· W4394801959 on OpenAlexaboutno aff
Jainik Shah, Maximilian Fidel, Dhiraj S. Bal, Connor Roque, Yool Ko, Premal Patel

Bibliographic record

VenueThe Journal of Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsErectile dysfunctionMedicineErectile functionFamily medicineInternal medicine

Abstract

fetched live from OpenAlex

You have accessJournal of UrologySexual Function/Dysfunction: Medical, Hormonal & Non-surgical Therapy I (MP47)1 May 2024MP47-06 REVIEWING THE CANADIAN LANDSCAPE OF RESTORATIVE THERAPIES FOR ERECTILE DYSFUNCTION Jainik Shah, Maximilian Fidel, Dhiraj S. Bal, Connor Roque, Yool Ko, and Premal Patel Jainik ShahJainik Shah , Maximilian FidelMaximilian Fidel , Dhiraj S. BalDhiraj S. Bal , Connor RoqueConnor Roque , Yool KoYool Ko , and Premal PatelPremal Patel View All Author Informationhttps://doi.org/10.1097/01.JU.0001008880.11564.10.06AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Erectile dysfunction (ED) is the inability to achieve or maintain an erection that is sufficient for sexual performance. Restorative therapies (RT(s)) such as shockwave therapy (Li-SWT) and platelet rich plasma (PRP) shots are heralded as options to restore one's natural, spontaneous erection without the need for pharmacologic therapy. However, limited data exists to support their routine clinical use. With direct-to-consumer marketing, numerous clinics across Canada now offer this therapy. We sought to investigate the landscape of RTs for ED across Canada. METHODS: Searches were made online to browse for clinics which were offering Li-SWT and PRP as a RT for ED. Clinics advertising their services online had their public website analysed for preliminary data collection. These clinics were then contacted to capture data on treatment cost, protocol, clinic ownership, training of providers, reported success rates, and administration of adjuvant therapies. Data obtained was then compared against existing literature to assess the accuracy of marketing towards patients. RESULTS: 107 clinics were found offering either Li-SWT or PRP as a restorative therapy, of these, 12 clinics were eliminated without further analysis. To date, data has been obtained for 95 clinics which provided a form of RT. We were able to obtain responses from 68 of these clinics. 53 clinics provided Li-SWT, and 36 clinics provided PRP, 21 clinics provided both forms of treatment. Out of these clinics, 40 clinics provided transparent cost and treatment protocols for Li-SWT, and 30 clinics provided data for PRP. The average cost of 6 sessions of Li-SWT was $2156.67 CAD ($700 - $4000), and for 1 shot of PRP was $1477.61 CAD ($500 - $3000). 61 clinics provided us with data on their ownership, 39 clinics had a physician on site, 26 of these being family medicine trained. 7 clinics did not report any staff credentials, and 17 were of other healthcare modalities, with 5 being listed simply as 'trained providers'. Only 10 clinics provided success rates resulting in an average of 87.3%, with one clinic quoting a success rate of 100%. CONCLUSIONS: Our study has so far found that Li-SWT and PRP for RTs are being largely marketed directly-to-consumer with very little urologic intervention prior to treatment throughout Canada, if any at all. The study highlights similar trends found in the USA, taking advantage of the psychosocial burden faced by patients that suffer from ED, tacking on substantial financial costs with marketing practises that are not transparent about the limitations of these RT modalities. Source of Funding: N/A © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e764 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Jainik Shah More articles by this author Maximilian Fidel More articles by this author Dhiraj S. Bal More articles by this author Connor Roque More articles by this author Yool Ko More articles by this author Premal Patel More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.583
Threshold uncertainty score0.218

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.318
Teacher spread0.264 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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