Evidence map›Paper›PMID 39877584›Full record

ArticleBJUI compass2025

Evaluating the utility of the HAS-BLED bleeding-estimator tool for transurethral resection of prostate.

Lu Yu Kuo, Zhong Li Titus Lim, Caitlin Letch, Joshua Silverman, Jason Jae Yeun Kim, Scott McClintock

Abstract read
In one paragraph

Article in BJUI compass, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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. Article
  2. Accuracy of HAS-BLED and BleedMAP Scores in Predicting Postoperative Bleeding in Anticoagulated Patients Undergoing non-Cardiac Surgery.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    Article
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

6 authors.

Lu Yu KuoDepartment of Urology Gold Coast University Hostpial Southport Queensland Australia.ORCID https://orcid.org/0000-0002-9193-2449
Zhong Li Titus LimDepartment of Urology Princess Alexandra Hospital Woolloongabba Queensland Australia.
Caitlin LetchSchool of Medicine and Dentistry Griffith University Southport Queensland Australia.
Joshua SilvermanDepartment of Urology Gold Coast University Hostpial Southport Queensland Australia.ORCID https://orcid.org/0000-0002-6945-4997
Jason Jae Yeun KimDepartment of Urology Gold Coast University Hostpial Southport Queensland Australia.
Scott McClintockDepartment of Urology Gold Coast University Hostpial Southport Queensland Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To evaluate the utility of the HAS-BLED bleeding risk-estimation tool to predict for clinically significant postoperative haematuria in patients receiving transurethral resection of prostate (TURP). Patients and Methods: A single-centre, retrospective cohort analysis of patients underwent TURP from April 2019 to December 2023 for treatment of symptomatic benign prostate hyperplasia. The primary objective was to evaluate reliability of HAS-BLED score in predicting postoperative bleeding event. A focus sub-analysis was performed on anticoagulated patient cohort. Each patient was categorised in to HASBLED low-, moderate- and high-risk group according to the preestablished estimator tool. Patients' demographics, clinical, pathological and operative details were collected. Events of clinically significant haematuria within 3 months postoperatively were captured. Cohort characteristics and outcome were analysed with two-sided Results: Our analysis showed that patients assigned as high-risk by HAS-BLED were at 2.17-times higher chance of developing clinically significant haematuria compared to the low-risk patients. The risk for high-risk patient was 18.5% (95%CI 11.7-25.3%) and 8.5% (95%CI 4.6-12.4%) for low-risk patients. Moderate-risk did not demonstrate any significant difference relative to the low-risk group. Sub-analysis of 113 patients receiving long-term anticoagulation accentuates the utility of the tool. The risk of haematuria for high-risk patient was 32.7% (95%CI 20.7-44.7%), moderate-risk patient was 28.7% (95%CI 17.0-40.3%), and low-risk patient was 9.7% (95%CI 4.2-15.2%). In this cohort, the risk of haematuria was 3.37 and 2.96 times higher in the high and moderate-risk compared to the low-risk group, respectively. Conclusion: This is the first study to validate a bleeding estimator tool for TURP patients. High HAS-BLED score positively predicts clinically significant post-TURP haematuria, particularly for patients receiving anticoagulation therapy.

Indexed as

bleedingbleeding calculatorhaematuriaHAS‐BLEDtransurethral prostatectomyTURP

Identifiers

PMID39877584
PMCPMC11771491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.