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Record W7075623092

Does fesoterodine have a role in the treatment of poorly managed patients with overactive bladder?

2014· review· en· W7075623092 on OpenAlexaboutno aff

Bibliographic record

VenueDove Medical Press (Taylor and Francis Group) · 2014
Typereview
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsOveractive bladderQuality of life (healthcare)Urinary urgencyUrinary systemBenzhydryl compoundsUrinary incontinence
DOInot available

Abstract

fetched live from OpenAlex

Vikky Morris,1 Adrian Wagg21Geriatric Medicine, Taunton Hospital Somerset, UK; 2Division of Geriatric Medicine, University of Alberta, Edmonton, Alberta, CanadaAbstract: Overactive bladder (OAB), a clinically defined symptom complex comprising urinary urgency, usually accompanied by urinary frequency and nocturia, with or without urgency incontinence, is common and has a markedly negative impact on the sufferer's quality of life. Following conservative and lifestyle management, the current pharmacological mainstay of treatment is antimuscarinic therapy. This review explores the role of fesoterodine, a relatively recently introduced antimuscarinic agent, in the treatment of patients who may have had a suboptimal response to initial therapy, who have switched treatment from tolterodine, or may be at risk of receiving poor treatment because of either multimorbidity or complex polypharmacy.Keywords: elderly, fesoterodine, overactive bladder, urgency incontinence

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.282
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes1
Has abstractyes

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