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Record W4405220859 · doi:10.1093/jsxmed/qdae167.233

(239) IS BUCCAL MUCOSA THE FUTURE OF PLAQUE INCISION/EXCISION AND GRAFTING FOR PEYRONIE’S DISEASE? A SINGLE-ARM META-ANALYSIS OF AN EMERGING GRAFT

2024· article· en· W4405220859 on OpenAlexaboutno aff
Muhammed Mubarak, Qasim Isa, K. V. Rajan, Anna Mainwaring

Bibliographic record

VenueThe Journal of Sexual Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSexual function and dysfunction studies
Canadian institutionsnot available
Fundersnot available
KeywordsPeyronie's diseaseMedicineErectile dysfunctionMeta-analysisSurgerySystematic reviewMEDLINEInternal medicineBiology

Abstract

fetched live from OpenAlex

Abstract Introduction Peyronie’s disease (PD) is a benign andrological condition that affects mens sexual health. Penile pain, plaques, and shaft curvatures leading to length loss and difficulties in sexual intromission are its hallmark clinical features. Although multiple surgical techniques have been explored in the management of PD, plaque incision/excision and grafting (PIG/PEG) has been described as a feasible option for more severe curvatures. Many graft materials have been explored for PIG/PEG. However, buccal mucosal grafts (BMG) have emerged as a popular, successful, and reliable choice. Objective This systematic review and meta-analysis evaluates PIG/PEG with BMG as a surgical treatment for Peyronie's disease. The outcomes of interest explored were: 1) Penile curvature 2) Erectile function (IIEF-5), and 3) Stretched penile length (SPL). 4) Post-operative functional penile straightening (<20 degrees), and 5) De novo erectile dysfunction. Methods Multiple major databases were thoroughly searched, and all relevant literature, excluding systematic reviews, meta-analyses, case reports, and abstracts, were screened. The outcomes of interest described above were extracted from the eligible studies. Data collection and analysis were done in Microsoft Excel and R Studio, respectively. A proportions and mean differences meta-analysis was supplemented with heterogeneity and publication bias tests. The Newcastle-Ottawa Scale (NOS) was used to assess the quality of the eligible studies. A p-value of <0.05 was considered statistically significant. Results Ten publications were eligible for a systematic review, which encompassed data from 226 patients. The studies were mainly observational in design and published between 2005 and 2021 in three different languages (English, Chinese, and Russian). All studies demonstrated promising outcomes for PIG/PEG with BMG. A meta-analysis of mean differences demonstrated a peri-operative curvature reduction of -49.6 degrees (95% CI: -64.4 to -34.9, p < 0.01), IIEF-5 score improvement of 4.45 points (95% CI: -0.07 to 8.9, p =), and SPL preservation with an estimated mean difference of 1.41 cm (95% CI: 0.38 to 2.44, p < 0.01). Further proportional meta-analysis of functional penile straightening and de novo post-operative erectile dysfunction demonstrated pooled estimates of 92% and 7.5%, respectively. Heterogeneity was noted to be significant among the studies. Conclusions Buccal mucosa is a viable, effective, and safe graft option for PIG/PEG in managing PD. Overall, the available literature demonstrates promising results. Despite these positive outcomes, and given the fact that all available literature includes observational studies, there is a unanimous concurrence amongst the urological guideline panels and expert bodies such as the European Association of Urology (EAU), American Urological Association (AUA), Canadian Urological Association (CUA), and European Society for Sexual Medicine (ESSM) that randomized controlled trials are essential to further support these findings and define its benefits, risks and more importantly long-term outcomes. Disclosure No.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.120
GPT teacher head0.376
Teacher spread0.256 · 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 designMeta-analysis
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
Published2024
Admission routes1
Has abstractyes

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