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Record W4402228097 · doi:10.1080/17434440.2024.2400092

Penile compression devices for the treatment of urinary incontinence: current status and future prospects

2024· review· en· W4402228097 on OpenAlexaff
Christina Shaw, Adrian Wagg

Bibliographic record

VenueExpert Review of Medical Devices · 2024
Typereview
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsUniversity of AlbertaUniversity of British Columbia
Fundersnot available
KeywordsUrinary incontinenceMedicineProstatectomyUrologyIntervention (counseling)Conservative managementErectile dysfunctionSurgeryInternal medicineProstateNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Urinary incontinence (UI), especially stress UI, is common after prostatectomy. Penile compression devices (PCDs) may be a safe, tolerable option for conservative management in men who are not candidates for or not interested in surgical intervention for their UI. AREAS COVERED: This article examines the epidemiology of post-prostatectomy urinary incontinence (PPI), and options for management. All available studies on PCDs are explored, including those on biomechanics, safety, tolerability, and user experience. History, availability of PCDs, and areas for future development are discussed. EXPERT OPINION: PCDs are an option for conservative management of PPI. They are recommended for those men without impairment in cognition, dexterity, or sensation. They should be worn for short periods of time and are best used during situations when incontinence might be precipitated. Overall, data suggest they are well tolerated and effective when tested, but large randomized comparative trials and studies of long-term use with relevant patient reported outcome measures are lacking. More studies are needed on commercially available PCDs. Biomechanical studies suggest that there are superior designs and materials both for efficacy and tolerability. With an aging population, and more older men going for prostate surgery, a larger market for these devices is likely.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.693
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
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 head0.037
GPT teacher head0.418
Teacher spread0.381 · 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
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
Published2024
Admission routes1
Has abstractyes

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