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Record W4308668157 · doi:10.2217/cer-2022-0160

Healthcare and economic burden of anticholinergic use in adults with overactive bladder: a systematic literature review

2022· review· en· W4308668157 on OpenAlexaff
Corinne Duperrouzel, Coby K Martin, Ari L. Mendell, Megan Bourque, Adam Carrera, Alicia Mack, Jeffrey Nesheim

Bibliographic record

VenueJournal of Comparative Effectiveness Research · 2022
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsEVERSANA (Canada)
Fundersnot available
KeywordsAnticholinergicMedicineOveractive bladderIntensive care medicineHealth careAnticholinergic agentsSystematic reviewIndirect costsMEDLINEInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Aim: To determine the economic burden associated with anticholinergic medication use in adults with overactive bladder (OAB) in the USA. Methods: A systematic literature review was conducted to identify articles assessing healthcare resource utilization (HCRU) and costs associated with anticholinergic use in adults with OAB. Results: From the 34 articles identified, increased anticholinergic burden, switching anticholinergic treatments and potentially inappropriate anticholinergic use were associated with increased HCRU and/or costs. However, studies comparing patients with OAB receiving anticholinergics to individuals with untreated OAB or without OAB reported a mix of increases and decreases in HCRU and costs. Conclusion: Additional controlled studies assessing the economic impact of anticholinergics in OAB are needed and may enable optimization of economic and potentially patient outcomes.

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)0.005
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.007
Bibliometrics0.0120.012
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.157
GPT teacher head0.485
Teacher spread0.328 · 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 designSystematic review
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

Citations9
Published2022
Admission routes1
Has abstractyes

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