Evidence map›Paper›PMID 41042317›Full record

ArticleInternational urogynecology journal2026

Predictors of Lower Urinary Tract Symptoms Following Post-Acute Stroke: Analysis of Multiple Variables.

Özgü İnal Özün, Şahide Eda Artuç, Esra Üzelpasaci, Serdar Kesikburun

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Article in International urogynecology journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Özgü İnal ÖzünFaculty of Gülhane Physiotherapy and Rehabilitation, Department of Neurologic Physiotherapy and Rehabilitation, University of Health Sciences, Ankara, Türkiye. ozgu.inal@sbu.edu.tr.ORCID 0000-0002-0351-1821
Şahide Eda ArtuçGaziler Physical Therapy and Rehabilitation Research and Training Hospital, University of Health Sciences, Ankara, Türkiye.ORCID 0000-0001-5069-6331
Esra ÜzelpasaciFaculty of Gülhane Physiotherapy and Rehabilitation, Cardiopulmonary Physiotherapy and Rehabilitation, University of Health Sciences, Ankara, Türkiye.ORCID 0000-0002-0960-122X
Serdar KesikburunGaziler Physical Therapy and Rehabilitation Research and Training Hospital, University of Health Sciences, Ankara, Türkiye.ORCID 0000-0001-9400-4683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisLower urinary tract symptoms (LUTS) are associated with post-stroke recovery, and therefore identifying predictors of LUTS is important. This study was designed to determine predictors of LUTS following post-acute stroke.

methodsBrunnstrom Recovery Stages (BRS), Modified Ashworth Scale (MAS), Modified Rankin Scale (MRS), Functional Ambulation Scale (FAS), Berg Balance Scale (BBS), Functional Independence Measure (FIM), Core Lower Urinary Tract Symptom Score (CLSS), and Incontinence Quality of Life Scale (I-QOL) were used. The CLSS total and subdimensions were obtained by using multiple linear regression analysis using the stepwise selection method.

resultsThis study was completed with 93 participants. The stepwise selection method analysis found the regression model created with the variables age, gender, constipation, FAS, stroke type, and I-QOL total score predicting the CLSS total score to be significant (F

conclusionsThis is the first study to examine predictors of LUTS following post-acute stroke in a broad context. Post-acute stroke patients with LUTS should be addressed multi-dimensionally, and the rehabilitation program should be planned to take these parameters into consideration.

Indexed as

Lower Urinary Tract SymptomsStrokeAgedAged, 80 and overFemaleHumansMaleMiddle AgedQuality of LifeRecovery of FunctionSeverity of Illness IndexFunctional statusLower urinary tract symptomsRegression analysisStroke

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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.