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Record W4391340840 · doi:10.1002/nau.25384

Should hormone replacement therapy (any route of administration) be considered in all postmenopausal women with lower urinary tract symptoms? Report from the ICI‐RS 2023

2024· article· en· W4391340840 on OpenAlexaff
Annika Taithongchai, Rayan Mohamed‐Ahmed, Sanjay Sinha, William Gibson, Ilias Giarenis, Dudley Robinson, Paul Abrams

Bibliographic record

VenueNeurourology and Urodynamics · 2024
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineOveractive bladderLower urinary tract symptomsUrinary systemUrinary incontinenceHormone therapyHormone replacement therapy (female-to-male)GynecologyPostmenopausal womenIntensive care medicineUrologyInternal medicineAlternative medicineTestosterone (patch)PathologyProstate

Abstract

fetched live from OpenAlex

AIMS: This International Consultation on Incontinence-Research Society report aims to summarize the evidence and uncertainties regarding the use of hormone replacement therapy by any route in the management of lower urinary tract symptoms (LUTS) including recurrent urinary tract infections (rUTI), with a review of special considerations for the elderly. Research question proposals to further this field have been highlighted. METHODS: An overview of the existing evidence, guidelines, and consensus regarding the use of topical or systemic estrogens in the management of LUTS. RESULTS: There are currently evidence and recommendations to offer topical estrogens to postmenopausal women with overactive bladder symptoms as well as postmenopausal women with rUTIs. Systemic estrogens however have been shown in a meta-analysis to have a negative effect on LUTS and, therefore are not currently recommended. CONCLUSIONS: Although available evidence and recommendations exist for the use of topical estrogens, few women are commenced on these in primary care. There remain large gaps still within our knowledge of the use of estrogens within the management of LUTS, particularly on when it should be commenced, the length of time treatment should be continued for, and barriers to prescribing.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.026
GPT teacher head0.291
Teacher spread0.265 · 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 designObservational
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

Citations4
Published2024
Admission routes1
Has abstractyes

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