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Record W4283328673 · doi:10.3390/uro2030017

Rethinking the Role of Saw Palmetto Extract for Men with Lower Urinary Tract Symptoms in North America

2022· article· en· W4283328673 on OpenAlexaff
J. Curtis Nickel, Bilal Chughtai, Cosimo De Nunzio, Jamin Brahmbhatt, Neal D. Shore, Alexis E. Te, Bob Djavan

Bibliographic record

VenueUro · 2022
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsQueen's University
Fundersnot available
KeywordsLower urinary tract symptomsMedicineWatchful waitingConsensus conferenceClinical trialUrologyInternal medicineProstateProstate cancer

Abstract

fetched live from OpenAlex

Introduction: The effect of the lipidosterolic extract derived from Serenoa repens (commonly known as “saw palmetto extract” or LSESr) berries on benign prostatic hyperplasia (BPH) and male lower urinary tract symptoms (LUTS) has been extensively studied in the global literature. However, a lack of global consensus with regard to its effectiveness remains, resulting in differing recommendations on the role of LSESr in the BPH/LUTS treatment paradigm. Here, we describe the consensus reached by an international panel of urology experts. Methods: In an independent meeting on 24 April 2021, an international panel of urology experts convened with the goal of developing consensus statements to address the following: the differences between the AUA and EAU guidance regarding the use of LSESr for the treatment of BPH/LUTS, the proposed mechanism of action of LSESr, and data examining the efficacy and safety of LSESr. These consensus statements were developed over the course of several months after an extensive review of the global literature and a discussion thereof. Results: A total of seven consensus statements were agreed upon by the panel. These statements addressed the proposed mechanism of action of LSESr, LSESr quality, and the results from clinical trials examining the efficacy and safety of various LSESrs. Conclusion: Based on the reviewed evidence, the panel recommends that LSESr should be considered as a treatment option for men with mild-to-moderate BPH/LUTS as an alternative to watchful waiting.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.559
Threshold uncertainty score0.441

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 integrity0.0000.000
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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

Citations15
Published2022
Admission routes1
Has abstractyes

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