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Record W4386965652 · doi:10.1016/j.euf.2023.09.003

Emerging Technologies for the Surgical Management of Lower Urinary Tract Symptoms Secondary to Benign Prostatic Obstruction. A Systematic Review

2023· review· en· W4386965652 on OpenAlexaff
Anirban Dey, Charalampos Mamoulakis, Nada Hasan, Yuhong Yuan, Ambreen Shakil, Muhammad Imran Omar

Bibliographic record

VenueEuropean Urology Focus · 2023
Typereview
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineLower urinary tract symptomsInternational Prostate Symptom ScoreUrologyEnucleationProstateQuality of life (healthcare)Confidence intervalTransurethral resection of the prostateUrethral strictureRandomized controlled trialUrinary incontinenceSurgeryInternal medicineUrethra

Abstract

fetched live from OpenAlex

CONTEXT: Surgical management of lower urinary tract symptoms (LUTS)/benign prostatic obstruction (BPO) aims at ablating prostate adenoma by resection, enucleation, or vaporisation. Apart from established ablation modes according to the European Association of Urology guidelines, various technologies have emerged as safe/effective alternatives but remain under investigation. OBJECTIVE: To explore short-term benefits/harms of emerging technologies for surgical management of LUTS/BPO. EVIDENCE ACQUISITION: A systematic literature search was conducted using MEDLINE, EMBASE, and CENTRAL via Ovid up to June 18, 2022. We included randomised controlled trials (RCTs) exploring aquablation, prostatic arterial embolisation (PAE), Rezum, prostatic urethral lift (PUL), and temporary implantable nitinol device (iTIND) versus sham/transurethral resection of the prostate (TURP). EVIDENCE SYNTHESIS: We included ten RCTs (1108 men). Aquablation versus TURP: insignificant change in International Prostate Symptoms Score (IPSS; mean difference [MD] 0.0, 95% confidence interval [CI] -2.44 to 2.44), quality of life (QoL; MD 0.30, 95% CI -0.81 to 0.21), maximum urinary flow rate (Qmax; MD -0.30, 95% CI -3.71 to 3.11), retreatment (risk ratio [RR] 0.18, 95% CI 0.02-1.66), and urinary incontinence (UI; RR 0.71, 95% CI 0.26-1.95). PAE versus monopolar TURP (M-TURP): insignificant change in IPSS (MD 3.33, 95% CI -28.39 to 35.05), QoL (MD 0.12, 95% CI -0.30 to 0.54), International Index of Erectile Function (IIEF-5; MD 3.07, 95% CI -1.78 to 7.92), and UI (RR 0.15, 95% CI 0.01-2.86), and significant change in Qmax (MD -9.52, 95% CI -14.04 to -5.0), favouring M-TURP. PAE versus bipolar TURP: insignificant change in IPSS (MD -2.80, 95% CI -6.61 to 1.01), QoL (MD -0.69, 95% CI -1.46 to 0.08), Qmax (MD -3.51, 95% CI -8.08 to 1.06), UI (RR 0.14, 95% CI 0.01-2.51), and retreatment (RR 1.91, 95% CI 0.19-19.63). PUL versus TURP: insignificant change in QoL (MD 0.40, 95% CI -0.29 to 1.09), UI (RR 0.13, 95% CI 0.02-1.05), and retreatment (RR 0.48, 95% CI 0.12-1.86), and significant change in IPSS (MD 3.40, 95% CI 0.22-6.58), and IIEF-5 (MD 3.00, 95% CI 0.41-5.59) and Qmax (MD -9.60, 95% CI -13.44 to -5.76), favouring PUL and TURP, respectively. Rezum and iTIND have not been evaluated in RCTs against TURP to date. CONCLUSIONS: Supporting evidence for clinical use of aquablation, PAE, PUL, Rezum, and iTIND is very limited. Benefits/harms should be investigated further in high-quality RCTs. PATIENT SUMMARY: This review summarises the evidence for the clinical use of aquablation, prostatic arterial embolisation (PAE), prostatic urethral lift (PUL), Rezum, and temporary implantable nitinol device (iTIND) to manage lower urinary tract symptoms secondary to benign prostatic obstruction. The supporting evidence for the clinical usage of aquablation, PAE, PUL, Rezum, and iTIND is very limited. Benefits and harms should be investigated further in high-quality randomised controlled trials.

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)0.004
metaresearch head score (Gemma)0.014
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 score0.008
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.006
Bibliometrics0.0080.007
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.046
GPT teacher head0.355
Teacher spread0.310 · 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".

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Citations5
Published2023
Admission routes1
Has abstractyes

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