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Record W4392854670 · doi:10.3389/fruro.2024.1329305

Updates in pelvic neuromodulation: the role of pelvic neuromodulation in pelvic disorders

2024· review· en· W4392854670 on OpenAlexaff
Baydaa Alsannan, Mai Banakhar, Magdy Hassouna

Bibliographic record

VenueFrontiers in Urology · 2024
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeuromodulationSacral nerve stimulationPelvic Floor DisordersMedicinePelvic painPhysical medicine and rehabilitationPelvic floorUrologySurgeryInternal medicine

Abstract

fetched live from OpenAlex

Pelvic disorders affecting both male and female patients are major areas of concern for clinicians in cases where pharmacotherapy and behavioral therapy are not effective. In such cases, pelvic neuromodulation has become an alternative therapy that could relieve chronic pelvic pain and enhance the quality of life. The goal of this paper was to present a summary of the current therapeutic applications of various pelvic neuromodulation techniques and their efficacy in treating patients with a range of pelvic illnesses. Based on the available literature, this review assessed the validity and significance of the last 10 years' advancements in the fields of sacral neuromodulation (SNM), posterior tibial nerve stimulation (PTNS), and pudendal neuromodulation (PNM), including meta-analyses, randomized controlled trials, and observational, prospective, and retrospective studies.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.955
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.019
GPT teacher head0.324
Teacher spread0.305 · 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 designOther design
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

Citations7
Published2024
Admission routes1
Has abstractyes

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