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Record W2031231987 · doi:10.2217/ahe.10.71

Management of Peyronie’s Disease in the Aging Male

2011· article· en· W2031231987 on OpenAlexaff
Rany Shamloul, Anthony J Bella

Bibliographic record

VenueAging Health · 2011
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsCanadian Institutes of Health ResearchUniversity of Ottawa
Fundersnot available
KeywordsMedicinePeyronie's diseasePenile prosthesisErectile dysfunctionPenisPlaceboSurgeryPentoxifyllineInternal medicine

Abstract

fetched live from OpenAlex

Peyronie’s disease (PD) is an acquired inelastic scar of the tunica albuginea of the penis, resulting in penile pain, curvature and other deformities, and sexual dysfunction, as well as significant psychological morbidity and relationship/partner issues. Contemporary data suggest an incidence of one in 20 men, with peak occurrence between ages of 50–55 years. Initial diagnosis of PD is made by thorough medical history and examination of the external genitalia; early referal to an urologist experienced in PD management is recommended. Evidence for nonsurgical treatment options is limited; the most commonly used, vitamin E, has not been shown to have benefit over placebo. Recent double-blinded placebo-controlled evidence suggests a role for oral pentoxifylline as a first-line agent. Intralesional injection therapy with verapamil is a frequently utilized option, as first- or second-line treatment, or in combination with other modalities. IFN-β2b injections into the penile plaque have also shown benefit over placebo in decreasing penile curvature, plaque size, penile pain and plaque density. Penile traction is currently under investigation for a potential role in PD management. The gold standard treatment for clinically significant deformity after PD has stabilized remains surgery. Several surgical options are available, including minimally invasive plication procedures, incision of the plaque and grafting or a penile prosthesis (when concurrent treatment-resistant erectile dysfunction is present).

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.157

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.096
GPT teacher head0.346
Teacher spread0.250 · 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 designObservational
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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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