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MP47-16 SAFETY OF NOVEL HYALURONIC ACID DERMAL FILLER INJECTIONS FOR PENILE GIRTH ENHANCEMENT

2024· article· en· W4394802022 on OpenAlexaboutno aff
Amy Pearlman, K Gumpf, William D. Moore, Jonathan Clavell, J Kansal, Fenwa Milhouse, Kevin Zorn, Montréal Canada, Alexander J. Tatem

Bibliographic record

VenueThe Journal of Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsHyaluronic acidMedicineFiller (materials)Girth (graph theory)SiliconeSurgeryPolymethyl methacrylateAdverse effectInternal medicineChemistryAnatomyMaterials science

Abstract

fetched live from OpenAlex

You have accessJournal of UrologySexual Function/Dysfunction: Medical, Hormonal & Non-surgical Therapy I (MP47)1 May 2024MP47-16 SAFETY OF NOVEL HYALURONIC ACID DERMAL FILLER INJECTIONS FOR PENILE GIRTH ENHANCEMENT Amy M. Pearlman, Kristen Gumpf, William Moore, Jonathan Clavell, Jagan Kansal, Fenwa Milhouse, Kevin Zorn, Montreal Canada, and Alexander Tatem Amy M. PearlmanAmy M. Pearlman , Kristen GumpfKristen Gumpf , William MooreWilliam Moore , Jonathan ClavellJonathan Clavell , Jagan KansalJagan Kansal , Fenwa MilhouseFenwa Milhouse , Kevin ZornKevin Zorn , Montreal CanadaMontreal Canada , and Alexander TatemAlexander Tatem View All Author Informationhttps://doi.org/10.1097/01.JU.0001008880.11564.10.16AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Limited data exist regarding safety of penile girth enhancement treatments. Reported options for girth enhancement include injections of autologous fat, liquid silicone, hyaluronic acid (HA), or polymethyl-methacrylate, grafting with dermal fat, porcine dermal acellular matrix, or acellular collagen matrix, and surgical placement of a silicone implant. The purpose of our study was to retrospectively evaluate safety in a cohort of men undergoing standardized penile girth enhancement with HA dermal filler at a single site by reporting on post-procedure complications. METHODS: We performed a retrospective review of men who underwent penile girth enhancement with HA dermal filler from August 2020 through April 2023. Peri-procedure adverse events were identified and reported using the Clavien-Dindo Classification system. RESULTS: 471 men underwent penile girth enhancement with HA dermal filler. All observed complications were minor (Clavien-Dindo grade 1-2 only). Two patients (0.42%) experienced injection site infections related to non-compliance post treatment with infection resolution after completing a course of oral antibiotic. One patient (0.21%) reported urinary tract infection symptoms shortly after HA dermal filler procedure, likely related to cutting his penis while shaving, and subsequently underwent additional filler injections without recurrence of urinary symptoms. One patient (0.21%) underwent reversal with hyaluronidase after his initial treatment. Three patients (0.63%) developed granulomas which were completely resolved with a single treatment of hyaluronidase. All three of these patients underwent additional HA injections without granuloma formation. Three patients (0.63%) experienced priapism treated without long term sequelae when intracavernosal injection (ICI) therapy was used for tumescence at time of filler injection. Once ICI was no longer used, no patients reported priapism. No patients reported erectile dysfunction or loss of sensitivity. CONCLUSIONS: Our study suggests that injection of HA dermal filler may be a safe option for men interested in penile girth enhancement. While rare complications may occur, our research suggests they are easily treatable in the outpatient setting without long term sequelae. Source of Funding: None © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e769 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Amy M. Pearlman More articles by this author Kristen Gumpf More articles by this author William Moore More articles by this author Jonathan Clavell More articles by this author Jagan Kansal More articles by this author Fenwa Milhouse More articles by this author Kevin Zorn More articles by this author Montreal Canada More articles by this author Alexander Tatem 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.686
Threshold uncertainty score1.000

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)0.0010.000

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 head0.039
GPT teacher head0.318
Teacher spread0.279 · 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.

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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