Published on 01 January 2024

Supplementary Material for: Factors considered by experienced urologists when selecting alpha-blockers for patients with lower urinary tract symptoms or benign prostatic hyperplasia according to age

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H., Lee;J.H., Lee;M.S., Choo;M.C., Cho;H., Son;H., Jeong;S., Yoo

Description

Introduction: To examine the opinions of urology specialists on whether there are actual differences in efficacy among α1-blockers and to identify the factors that should be considered when prescribing these medications according to age.Methods: We surveyed 50 South Korean urology specialists with over 3 years of clinical experience in secondary or tertiary hospitals in July-August 2021. The survey covered urologists' demographics, awareness of α1-blocker prescription differences, and key factors in α1-blocker selection based on LUTS severity and patient age.Results: Overall, 82% of the respondents believed that there were differences in efficacy of α1-blockers in actual practice according to age. Over 90% of the respondents agreed on the need for head-to-head comparison studies to compare the effects of different α1-blockers. Regardless of the severity of LUTS, urologists prioritize cardiovascular side effects when prescribing α1-blockers to patients aged ≥70 years. Further, 19% of the urologists prioritized ejaculatory side effects for mild-to-moderate LUTS and 9% for severe LUTS (p < 0.001). Conclusions: This study shows that head-to-head studies comparing the efficacy of different α1-blockers are highly valuable for the real-world clinical application of α1-blockers. Notably, urologists prioritize cardiovascular and ejaculatory side effects in older and younger patients while prescribing α1-blockers, respectively.

Citations (1)

Mentions (0)

Metrics

Dataset Index

0.7

FAIR Score

13%

Citations

1

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Karger Publishers

Assigned Domain

Subfield

Pediatrics, Perinatology and Child Health

Field

Medicine

Domain

Health Sciences

Confidence Score

47%

Source

Scholar Data Model

Keywords

Medicine

Normalization Factors

FT

13.46

CTw

1.00

MTw

1.00