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Record W2370360043 · doi:10.21037/tau.2016.03.20

Con: does shockwave therapy have a place in the treatment of Peyronie’s disease?

2016· article· en· W2370360043 on OpenAlexaff
Abdullah Alkhayal, Serge Carrier

Bibliographic record

VenueTranslational Andrology and Urology · 2016
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsRoyal Victoria Hospital
Fundersnot available
KeywordsVascularityMedicinePeyronie's diseaseExtracorporeal shockwave therapyMechanism (biology)Penile curvatureDiseaseUrologySurgeryPathology

Abstract

fetched live from OpenAlex

Extracorporeal Shockwave Therapy (ESWT) has been used to treat various urological conditions such as nephrolithiasis and erectile dysfunction. The use of ESWT for Peyronie’s disease (PD) has been a subject of debate since Bellorofobate et al. published the first report on the use of ESWT on a PD patient in 1989 (1). The mechanism of action of ESWT in PD patients is still unknown mainly due to the lack of an animal model truly resembling PD. Multiple theories had been hypothesized with regards to its mechanism of action. Levine hypothesized that EWST causes destruction and lysis of the plaque by inducing an inflammatory response that attracts macrophages to the plaque site, leading to changes in vascularity and plaque resorption (2). In addition, direct trauma caused by ESWT may produce scar formation on the contralateral side of the penile shaft and, thus, correct the curvature. The other possible theory is that ESWT causes degradation of the plaque leading to an increase of the surface area in contact with the drugs introduced either locally or systemically (3). None of these theories have, however, yet to be scientifically proven.

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 score0.101
Threshold uncertainty score0.419

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 head0.034
GPT teacher head0.287
Teacher spread0.253 · 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

Citations0
Published2016
Admission routes1
Has abstractyes

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