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Record W2408378259

Injection of botulinum toxin type A in the urethral sphincter to treat lower urinary tract dysfunction: a review of indications, techniques and results.

2006· review· en· W2408378259 on OpenAlexaff
G. Karsenty, Jacques Corcos

Bibliographic record

VenuePubMed · 2006
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineDyssynergiaUrologyUrethral sphincterSphincterBotulinum toxinArtificial urinary sphincterUrethraUrinary incontinenceSurgery
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: The first application of botulinum toxin type A (BoNT-A) in urology was its injection into the urinary sphincter to treat neurogenic detrusor-sphincter dyssynergia (DSD) in quadriplegic men. Since that first report by Dyskatra et al in 1988, the results of focal BTA injections into the sphincter, the bladder wall and lately into the prostate have raised the interest of the urology community in this promising new therapeutic modality. This is an evidence-based review of the current indications, techniques and outcomes of BTA injections into the urethral sphincter. MATERIALS AND METHODS: The Medline database was searched for the period between 1966 and October 2010, using the keywords 'botulinum toxin' and 'urethra' or 'urethral sphincter'. English written articles ere selected. A level of evidence according to the Oxford Centre for evidence-based medicine was assigned to each article. CONCLUSION: Since our first review in 2006, very little has been added to the literature on the use of botulinum toxin injected into the external sphincter. At present, those most likely to benefit from intrasphincteric BTA injection are MS patients suffering the symptoms of DSD and quadriplegic men with DSD unable to perform self-catheterization. Well developed and conducted studies are necessary; these must be done urgently to better define the place and the results of this drug otherwise widely used in other indications in urology.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.961
Threshold uncertainty score0.594

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.064
GPT teacher head0.356
Teacher spread0.292 · 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
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

Citations25
Published2006
Admission routes1
Has abstractyes

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