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Record W4394618125 · doi:10.1177/20514158241242961

Advances in HoLEP technology and technique – Current state of play

2024· article· en· W4394618125 on OpenAlexaff
Nicholas Dean, Jega Thiruchelvam, Jenny Guo, Jordan Durrant, Amy E. Krambeck, Tevita Aho

Bibliographic record

VenueJournal of Clinical Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineCurrent (fluid)State (computer science)Electrical engineeringEngineering

Abstract

fetched live from OpenAlex

Background: Until recently, Holmium laser enucleation of the prostate (HoLEP) utilisation has been limited despite its perceived benefits over alternative surgical and minimally invasive benign prostatic hyperplasia (BPH) treatments. Objective: The purpose of this review is to highlight our experience with recent advances in laser and morcellator technologies that have made it easier for urologists to consistently offer HoLEP as a safe, efficient, and effective in an ambulatory (day surgery) setting. Methods: Our narrative review focused on contemporary studies published within the last five years. Conclusions: Technological advances coupled with increasing availability of training opportunities has and will continue to improve patients’ accessibility to the gold standard in BPH surgical treatment. Furthermore, we will describe refinements in laser enucleation techniques that have improved procedural efficiencies, rates of temporary post-operative urinary incontinence, and preservation of sexual function. The effects of technical modifications on functional and durability outcomes are to be seen in further prospective studies. Level of Evidence: Level 7 (Expert Opinion)

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)0.011
metaresearch head score (Gemma)0.016
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 score0.011
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0040.006
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.002

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 head0.047
GPT teacher head0.482
Teacher spread0.435 · 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
Published2024
Admission routes1
Has abstractyes

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