Evidence map›Paper›PMID 41111828›Full record

ArticleCureus2025

Morcellation Efficiency Across Prostate Size Categories in Holmium Laser Enucleation of the Prostate (HoLEP): A Complete-Case Analysis of 255 Consecutive Procedures at a UK Tertiary Centre.

Momen Sid Ahmed, Nkwam Nkwam

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Momen Sid AhmedDepartment of Urology, King's College Hospital NHS Foundation Trust, London, GBR.
Nkwam NkwamDepartment of Urology, King's College Hospital NHS Foundation Trust, London, GBR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMechanical morcellation is integral to Holmium Laser Enucleation of the Prostate (HoLEP). Understanding how morcellation efficiency varies with gland size can inform list planning, device selection, and safety preparedness.

objectiveTo quantify morcellation efficiency across preoperative prostate size categories and examine its association with gland volume.

methodsWe performed a retrospective, single-centre, complete-case analysis of 255 consecutive HoLEP procedures at a UK tertiary centre (January 2022-January 2025). Preoperative transrectal ultrasound (TRUS) prostate volume was categorised as <80 cc, 80-150 cc, and >150 cc. Morcellation efficiency (g/min) was calculated as enucleated tissue weight divided by morcellation time. Group differences were assessed nonparametrically with Kruskal-Wallis and Bonferroni-adjusted pairwise tests, and the relationship between volume and efficiency was evaluated with Spearman's ρ.

resultsSize distribution was <80 cc 51 (20.0%), 80-150 cc 141 (55.3%), and >150 cc 63 (24.7%). Median morcellation efficiency decreased across categories: 9.02 (IQR 6.37-13.25) vs 8.71 (IQR 6.00-12.21) vs 7.00 g/min (IQR 4.25-9.57) (Kruskal-Wallis H=13.23, p=0.001); pairwise differences were significant for <80 vs >150 (p=0.005) and 80-150 vs >150 (p=0.003), but not <80 vs 80-150 (p>0.999). Efficiency inversely correlated with volume (ρ=-0.26, p<0.001).

conclusionsMorcellation efficiency decreases as glands become very large (>150 cc); anticipating slower retrieval in mega-prostates can guide list composition, staffing, and morcellator/technique choice.

Indexed as

benign prostatic hyperplasiaholepmega-prostatemorcellation efficiencyoperative timeprostate volumesurgical efficiencytrus

Identifiers

PMID41111828
PMCPMC12533308

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.