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Record W3083469825 · doi:10.18192/uojm.v10i1.4640

Transdermal estradiol as a novel treatment for Peyronie's disease: A case report

2020· article· en· W3083469825 on OpenAlexaffvenueabout
Jessie Thuswaldner

Bibliographic record

VenueUniversity of Ottawa Journal of Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMedicineDepression (economics)Peyronie's diseaseAnxietyTransdermalDistressParaphiliaDiseasePsychiatryInternal medicineClinical psychologySexual behaviorPharmacology

Abstract

fetched live from OpenAlex

Introduction: This is a single‐patient case report of a (now) 75-year old married male with long-standing Peyronie’s disease (PD). The patient’s main symptoms were painful erections as well as secondary anxiety and depression. Resolution of these symptoms was achieved with transdermal estradiol treatment.
 Objectives: To describe a patient with PD, whose persistently painful erections and psychologic distress were eliminated by a novel treatment involving transdermal estradiol. This report also aims to present a novel treatment for patients with paraphilias.
 Methods: An interview with the patient, chart review, and a literature search were conducted. Informed consent was obtained from the patient and this report was approved by the Research Ethics Committee at the Royal Hospital in Ottawa.
 Results: Treatment with transdermal estradiol decreased the patient’s sex drive and virtually eliminated his erections with no undesirable side effects. The patient and his wife still enjoy sexual relations without the need for penile erection.
 Conclusions: This case report presents a novel treatment for PD. It also introduces a novel method to treat men who wish to decrease their sex drive (e.g. men with paraphilic disorders). Replication of this treatment intervention in men with PD and new studies of its use in men with paraphilic disorders are warranted.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.450

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 head0.067
GPT teacher head0.294
Teacher spread0.227 · 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".

Quick stats

Citations1
Published2020
Admission routes3
Has abstractyes

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