Clinical Factors Associated With the Feeling of Incomplete Bladder Emptying in Women With Little Postvoided Residue

Lee, Kwang Suk; Koo, Kyo Chul

doi:10.5213/inj.1938256.128

Cited by 2 publications

(2 citation statements)

References 22 publications

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“…3 Moreover, OAB can be induced by FVD or BOO. 23 Al-Zahrani and Gajewski 24 reported that 27% of women with refractory OAB after antimuscarinic treatment showed FBOO in a UDS. However, only one included study used urodynamic investigation in addition to patient's symptoms.…”

Section: Discussionmentioning

confidence: 99%

Effect of symptom-based alpha-blocker treatment on lower urinary tract symptoms in women: systematic review and meta-analysis

Kang

Kim

Chang

et al. 2021

Therapeutic Advances in Urology

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Aims: The aim of this study was to evaluate the effects of alpha blockers in women with lower urinary tract symptoms. Methods: We conducted systematic review and meta-analysis on published a priori protocols. We searched multiple data sources for published and unpublished randomized controlled trials in any language. Primary outcomes included urologic symptom scores, quality of life, and overall adverse events. We performed meta-analysis using RevMan 5.3 and rated the certainty of evidence using Grading of Recommendations, Assessment, Development, and Evaluation. Results: Alpha blockers likely reduced urological symptom score (mean difference: −1.50, 95% confidence interval: −2.91 to −0.09; moderate certainty of evidence). Alpha blockers may improve quality of life (standardized mean difference: −0.35, 95% confidence interval: −0.85 to 0.15; low certainty of evidence) and have little to no difference in overall adverse events (risk ratio: 1.09, 95% confidence interval: 0.55 to 2.15; low certainty of evidence). Based on five studies comparing combination therapy with alpha blockers and anticholinergics to anticholinergic monotherapy, combination therapy likely results in little to no difference in urological symptom score (mean difference: −0.35, 95% confidence interval: −1.98 to 1.27; moderate certainty of evidence) and quality of life (mean difference: −0.11, 95% confidence interval: −0.48 to 0.27; moderate certainty of evidence). We are very uncertain about the effect of combination therapy on overall adverse events (risk ratio: 1.07, 95% confidence interval: 0.40 to 2.84; very low certainty of evidence). Conclusion: Alpha blocker monotherapy for the women with lower urinary tract symptoms regardless of the underlying cause likely has satisfactory efficacy compared with placebo. However, combination therapy with anticholinergics likely has no additional effect on urologic symptom score and quality of life compared with anticholinergic monotherapy.

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Section: Discussionmentioning

confidence: 99%

Effect of symptom-based alpha-blocker treatment on lower urinary tract symptoms in women: systematic review and meta-analysis

Kang

Kim

Chang

et al. 2021

Therapeutic Advances in Urology

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“…Uroflowmetry (UFM) is a simple test that measures the urine stream in volume per unit time [ 1 ]. The main advantage of UFM is that it is non-invasive and relatively inexpensive [ 2 , 3 ]. Therefore, it is considered an indispensable, first-line screening method for most patients with suspected lower urinary tract dysfunction [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence

2022

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Purpose: To develop an automatic interpretation system for uroflowmetry (UFM) results using machine learning (ML), a form of artificial intelligence (AI).Methods: A prospectively collected 1,574 UFM results (1,031 males, 543 females) with voided volume>150 mL was labelled as normal, borderline, or abnormal by 3 urologists. If the 3 experts disagreed, the majority decision was accepted. Abnormality was defined as a condition in which a urologist judges from the UFM results that further evaluation is required and that the patient should visit a urology clinic. To develop the optimal automatic interpretation system, we applied 4 ML algorithms and 2 deep learning (DL) algorithms. ML models were trained with all UFM parameters. DL models were trained to digitally analyze 2-dimensional images of UFM curves.Results: The automatic interpretation algorithm achieved a maximum accuracy of 88.9% in males and 90.8% in females when using 6 parameters: voided volume, maximum flow rate, time to maximal flow rate, average flow rate, flow time, and voiding time. In females, the DL models showed a dramatic improvement in accuracy over the other models, reaching 95.4% accuracy in the convolutional neural network model. The performance of the DL models in clinical discrimination was outstanding in both genders, with an area under the curve of up to 0.957 in males and 0.974 in females.Conclusions: We developed an automatic interpretation algorithm for UFM results by training AI models using 6 key parameters and the shape of the curve; this algorithm agreed closely with the decisions of urology specialists.

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Clinical Factors Associated With the Feeling of Incomplete Bladder Emptying in Women With Little Postvoided Residue

Cited by 2 publications

References 22 publications

Effect of symptom-based alpha-blocker treatment on lower urinary tract symptoms in women: systematic review and meta-analysis

Effect of symptom-based alpha-blocker treatment on lower urinary tract symptoms in women: systematic review and meta-analysis

Development of an Automatic Interpretation Algorithm for Uroflowmetry Results: Application of Artificial Intelligence

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