Do Alpha-Blockers and 5-Alpha Reductase Inhibitors Increase Dementia Risk? A Network Meta-analysis

Article information

Int Neurourol J. 2025;29(4):236-247
Publication date (electronic) : 2025 December 31
doi : https://doi.org/10.5213/inj.2550174.087
1Faculty of Medicine, Tarumanagara University, Jakarta, Indonesia
2School of Medicine and Health Science, Atma Jaya Catholic University of Indonesia, Jakarta, Indonesia
3Faculty of Medicine, Airlangga University, Surabaya, Indonesia
4Department of Neurology, National Hospital, Surabaya, Indonesia
5Department of Neurology, Faculty of Medicine, University of Pattimura, Maluku, Indonesia
Corresponding author: Karmenia Jessica Kurnia Niaga Faculty of Medicine, Tarumanagara University, Letjen S. Parman St No.1, RT.6/ RW.16, Tomang, Grogol Petamburan, West Jakarta City, Jakarta 11440, Indonesia Email: karmeniajessica@gmail.com
Received 2024 July 2; Accepted 2025 October 11.

Abstract

Purpose

Alpha-blockers and 5-alpha reductase inhibitors (5ARIs) are well-established treatments for symptoms of benign prostatic hyperplasia (BPH). Despite their therapeutic benefits, concerns have been raised regarding a potential association between these medications and an increased risk of dementia. However, current evidence remains inconsistent, highlighting the need for further evaluation. This study aims to assess the potential dementia risk among patients receiving alpha-blockers and 5ARIs.

Methods

Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines (PROSPERO CRD42025643431), 7 databases were systematically searched through December 2024 for studies examining the association between alpha-blockers or 5ARIs and dementia risk in patients with BPH. Risk of bias was assessed using the ROBINS-I (Risk of Bias in Non-randomized Studies of Interventions) tool. A Bayesian network meta-analysis was performed to estimate risk ratios with 95% credible intervals and to generate surface under the cumulative ranking curve (SUCRA) values.

Results

Five multicenter studies involving 3,650,434 patients (mean age, 71.1 years) and demonstrating an overall low risk of bias were included. The network analysis indicated that neither alpha-blockers nor 5ARIs were significantly associated with an increased risk of dementia compared with no treatment. However, SUCRA values suggested a relatively higher probability of dementia risk for 5ARIs (finasteride and dutasteride), followed by tamsulosin, doxazosin, terazosin, and alfuzosin.

Conclusions

This study found no significant association between the use of alpha-blockers or 5ARIs and increased dementia risk. These findings may assist clinicians in making more informed prescribing decisions, particularly for older male patients with BPH. Further large-scale research with extended follow-up periods is needed to strengthen the evidence across all BPH medications.

INTRODUCTION

Benign prostatic hyperplasia (BPH) is one of the most prevalent conditions affecting older men, a population that already faces an increased risk of cognitive decline and dementia. Its prevalence rises considerably after age 40, affecting approxi-mately 8% to 60% of individuals by age 90 [1]. Because age is the primary risk factor for dementia, understanding the potential cognitive effects of BPH medications is essential, particularly for older patients who are already vulnerable to neurodegenerative disorders [2,3].

According to American Urological Association guidelines, BPH treatments mainly include alpha-blockers and 5-alpha reductase inhibitors (5ARIs), both of which may influence cognitive outcomes through several mechanisms [4]. Multiple biological pathways have been proposed to explain how these medications may contribute to dementia risk. Alpha-blockers may alter norepinephrine signaling, impairing attention, memory, and executive function and thereby promoting cognitive dysfunction [5]. 5ARIs inhibit dihydrotestosterone (DHT) synthesis, a process that may reduce hippocampal neurogenesis and facilitate β-amyloid accumulation, both central to Alzheimer disease pathology [6]. Additionally, both drug classes have been linked to vascular and autonomic dysregulation, which may result in hypotension, reduced cerebral perfusion, and a heightened risk of vascular dementia [7].

Real-world clinical studies have reported higher dementia incidence among BPH patients receiving these medications, with retrospective cohort analyses demonstrating potential dose- and duration-dependent relationships, particularly for 5ARIs [8,9]. Despite these observations, the literature remains fragmented, and no meta-analysis has comprehensively evaluated dementia risk associated with BPH medications. A systematic and integrative assessment is therefore needed to offer clinicians and policymakers clearer evidence regarding potential cognitive risks. Network meta-analysis (NMA), especially within a Bayesian framework, enables comparison across multiple interventions by integrating both direct and indirect evidence. In contrast to pairwise meta-analysis, which compares treatments only in head-to-head studies, NMA simultaneously evaluates all available treatments within a unified analytic structure. The additional use of SUCRA allows quantitative ranking of treatment-related risks. This study provides the first NMA to systematically examine whether alpha-blockers and 5ARIs increase dementia risk and aims to offer clinically meaningful interpretations. To our knowledge, this is the first NMA to apply these advanced methods in the context of BPH-related dementia, representing the principal novelty of this work and expanding the evidence base beyond prior reviews.

MATERIALS AND METHODS

Protocol Registration and Reporting Guidelines

This study followed a predefined protocol registered in the International Prospective Register of Systematic Reviews (PROSPERO; CRD42025643431) and adhered to the PRISMA-NMA (Preferred Reporting Items for Systematic Reviews and Metaanalyses for Network Meta-Analyses) guidelines [10].

Eligibility Criteria

Eligible primary studies were selected based on their PICO-TS (population, intervention, comparator, outcome, timing, and study design) framework. We included observational studies enrolling male patients aged 50 years or older who were diagnosed with BPH using prostate-specific antigen testing or imaging and were indicated to receive BPH medications, specifically alpha-blockers (alfuzosin, doxazosin, terazosin, and tamsulosin) or 5ARIs (dutasteride and finasteride). Comparator groups included other BPH medications or no treatment. Eligible studies were required to report dementia as a study outcome. We included observational studies. Studies were excluded if they involved patients under 50 years of age, used BPH treatment beyond the specified medications, or did not assess dementia risk. Nonoriginal research articles (e.g., reviews, editorials, case reports) and animal studies were excluded. The exclusion criteria also included inaccessible full texts and nonoriginal research articles (including reviews, editorials, and case reports). Studies were additionally excluded if they lacked sufficient data for effect size estimation, had overlapping populations, or did not provide appropriate comparator groups. We applied these stringent inclusion and exclusion criteria to ensure methodological rigor and clinical relevance. Only highquality observational studies that reported dementia outcomes in patients with BPH were included. This approach was necessary to minimize bias and maintain the validity of the NMA. No publication date restrictions were applied.

Data Sources and Search Strategy

A comprehensive search was conducted across 7 electronic databases (EBSCOHost, Google Scholar, ProQuest, PubMed, SAGE Journals, ScienceDirect, and Wiley Online Library) from their inception through February 2025. The search strategy used a combination of pertinent keywords and Medical Subject Headings terms, including “alpha-blocker,” “alfuzosin,” “doxazosin,” “terazosin,” “tamsulosin,” “5-alpha reductase inhibitors,” “dutasteride,” “finasteride,” “dementia,” “Alzheimer’s disease,” and “cognitive.” Boolean operators (AND/OR) were applied to refine the search results. The reference lists of relevant review articles were also systematically examined to identify additional eligible studies.

Study Selection and Data Extraction

EndNote X9 (Clarivate Analytics, USA) was used to import all retrieved citations and remove duplicates. Three authors (FXR, KJ, and RY) independently screened titles and abstracts, followed by full-text assessments to determine final eligibility. Data extraction was performed by 4 authors (FXR, KJ, RY, and PAS) using a standardized form to document essential study details, including author and publication year, study design, study period, dementia diagnostic criteria, participant demographics (mean age and race), pertinent comorbidities (hypertension and diabetes mellitus), and duration of drug use. Discrepancies were resolved through discussion or consultation with senior authors (PYS and AW).

Risk of Bias Assessment

Three reviewers (FXR, PAS, and NN) independently assessed methodological quality using the Risk of Bias in Non-randomized Studies of Interventions, Version 2 (ROBINS-I V2) tool. This tool evaluates 5 domains: the randomization process, deviations from the intended intervention, missing outcome data, outcome measurement, and selection of the reported result [11]. Each domain was categorized as having low risk, some concerns, or high risk of bias. Disagreements were resolved by consensus or with input from senior authors (PYS and AW).

Data Synthesis and Statistical Analysis

A meta-analysis was performed using Review Manager 5.4.1, provided by the Cochrane Collaboration Network. Results were evaluated using risk ratios (RRs) with corresponding 95% confidence intervals (CIs). An inverse variance random-effects model was used to assess heterogeneity across the included studies. A P-value less than 0.05 and an I² value greater than 50% indicated statistically significant heterogeneity. Statistical significance was defined as a P-value less than 0.05. A Bayesian NMA using random-effects models was conducted in MetaInsight software v6.3.0 for binary outcomes, utilizing the “gemtc” and “BUGSnet” packages [12-14]. RR with 95% credible intervals (CrI) was calculated to assess dementia risk. Markov Chain Monte Carlo (MCMC) simulations were performed with a minimum of 4 parallel chains, with each chain comprising 20,000 iterations and a burn-in period of 5,000 iterations. Default diffuse priors were applied. Convergence was evaluated using trace plots and Gelman-Rubin statistics, while consistency was assessed using node-splitting methods [15]. The surface under the cumulative ranking curve was used to rank dipping categories for each outcome. A network meta-regression would have been conducted if the number of included studies reached 10 or more [16].

RESULTS

Study Selection and Characteristics

A cumulative total of 769 records was obtained from 9 databases: EBSCOHost (n=232), Google Scholar (n=37), ProQuest (n=90), PubMed (n=317), SAGE Journal (n=17), ScienceDirect (n=37), and Wiley Online Library (n=39). After removing duplicates and screening the titles and abstracts, 34 studies were selected for full-text evaluation. Of these, 19 were excluded due to irrelevant study outcomes, and 10 were excluded because they contained insufficient data, resulting in 5 studies that met all inclusion criteria (Fig. 1). These included 4 retrospective cohort studies and 1 case-control study, encompassing 3,650,434 participants with a mean age of 71.1 years. Table 1 summarizes the characteristics of the included studies [17-21].

Fig. 1.

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram of study selection.

Baseline characteristics of the included studies

Risk of Bias Assessment

The risk of bias assessment is presented in Fig. 2. All included studies were evaluated using the ROBINS-I V2 tool and were predominantly categorized as having a low risk of bias. Most domains, including selection of participants, classification of interventions, deviations from intended interventions, missing outcome data, outcome measurement, and selective reporting, were consistently rated as low risk across all studies. This pattern indicates adequate methodological rigor and reliability in data collection and reporting. Two studies by Garcia-Argibay et al. [20] and Fung et al. [21] demonstrated a moderate risk of bias related to confounding factors. Nonetheless, a study with only a single moderate-risk domain related to confounding is still considered to have an overall low risk of bias.

Fig. 2.

Risk of bias assessment using the Cochrane ROBINS-I V2 (Risk of Bias In Non-randomized Studies of Interventions, Version 2) tool.

Pairwise Meta-analysis for Dementia Risk Associated With Alpha-Blockers and 5ARIs

The meta-analysis included 18 pairwise comparisons across all treatment groups. Statistically significant results were observed for tamsulosin versus dutasteride (RR, 1.27; 95% CI, 1.07–1.51; P=0.005; I²=75%), tamsulosin versus finasteride (RR, 1.16; 95% CI, 1.08–1.26; P=0.0001; I²=68%), and terazosin vs. alfuzosin (RR, 1.17; 95% CI, 1.09–1.24; P<0.00001; I²=0%). All other comparisons did not show statistically significant results (Table 2).

Pairwise RR meta-analysis for dementia risk associated with alpha-blockers and 5ARIs

Bayesian NMA for Dementia Risk Associated With Alpha-Blockers and 5ARIs

The network examining dementia risk consisted of 5 alphablocker drugs (alfuzosin, doxazosin, terazosin, and tamsulosin) and 2 5ARIs (dutasteride and finasteride) across 5 studies, generating 21 direct comparisons (Fig. 3).

Fig. 3.

Network plot of benign prostatic hyperplasia medications and no treatment in relation to dementia risk. The nodes represent the interventions evaluated: tamsulosin, doxazosin, terazosin, alfuzosin, dutasteride, finasteride, and no treatment. Line thickness and numbers indicate the volume of direct head-to-head evidence.

Overall, none of the medications demonstrated statistically significant differences in dementia risk when compared with each other (Table 3). However, SUCRA values indicated that the no-treatment group had the lowest estimated dementia risk (89.11), followed by alfuzosin (59.82), terazosin (53.39), doxazosin (52.55), tamsulosin (46.07), dutasteride (25.24), and finasteride (23.81), as illustrated in the litmus rank-o-gram (Fig. 4). Because fewer than 10 studies were included, meta-regression could not be conducted.

Netleague table of RRs for dementia risk associated with alpha-blockers and 5ARIs

Fig. 4.

Litmus rank-o-gram benign prostatic hyperplasia medications for dementia risk. The cumulative ranking curves display the probability of each treatment being ranked from best (1) to worst (7). The surface under the cumulative ranking curve (SUCRA) values, shown on the right with a color gradient (green=more favorable, red=less favorable), represent the overall ranking of each intervention. No treatment had the highest SUCRA value, while dutasteride and finasteride showed the lowest SUCRA values.

Node-Splitting and Convergence Diagnostics

Node-splitting analyses showed no statistically significant inconsistency between direct and indirect estimates, as the 95% CIs for all comparisons crossed zero and P-values exceeded 0.05, indicating no evidence of inconsistency. Convergence was confirmed through trace plots and Gelman-Rubin diagnostics, with shrink factors approaching 1.00 across all parameters. These findings indicate that the MCMC simulations exhibited adequate mixing across chains, supporting the reliability of the Bayesian model estimates and the validity of the reported 95% CrI (Fig. 5).

Fig. 5.

Trace plots and Gelman-Rubin convergence for dementia risk associated with alpha-blockers and 5-alpha reductase inhibitors. The black line represents the median shrink factor, and the red dashed line represents the 97.5% upper quantile. Shrink factors for all treatment comparisons and the between-study variance (sd.d) converged to 1.00 following the burn-in period, indicating satisfactory convergence of the Markov Chain Monte Carlo (MCMC simulations). sd.d, standard deviation of the random-effects distribution.

DISCUSSION

This NMA demonstrated that neither the use of alpha-blockers nor 5ARIs significantly increased the risk of dementia compared with the no-treatment group, although the pairwise comparisons revealed significant differences between tamsulosin and dutasteride, tamsulosin and finasteride, and terazosin and alfuzosin. SUCRA values also suggested a higher probability of dementia risk with 5ARIs (dutasteride and finasteride). Nevertheless, at the network level, no significant differences in dementia risk were observed among the drugs. The pairwise estimates were constrained by the small number of available studies, whereas the Bayesian NMA, which integrates both direct and indirect evidence within a unified framework, provided more precise and comprehensive estimates across the network.

A recent systematic review highlighted the variability in outcomes regarding the association between alpha-blocker use and dementia risk [22]. For example, although 2 randomized con-trolled trials assessing tamsulosin reported no significant cognitive changes, observational studies suggested a potential increase in dementia risk [17,19,23,24]. Similarly, evidence for alfuzosin and terazosin has been inconsistent, with conflicting findings across different study designs [17-19]. Regarding 5ARIs, cohort studies have also produced variable outcomes. While no significant association was observed during the first and second years of 5ARI use, prolonged exposure was linked to a significant increase in dementia risk [9]. Despite these contradictory findings, no recent meta-analysis has comprehensively clarified this association. In our NMA, SUCRA rankings indicated that 5ARIs, including dutasteride and finasteride, have a higher probability of contributing to cognitive impairment and an increased risk of dementia compared with alphablockers and the no-treatment group. This potential mechanism is thought to involve the suppression of DHT, which plays an important role in hippocampal function. A recent in vivo study suggested that DHT contributes to improved synaptic plasticity in the hippocampus by upregulating synaptic plasticity markers, including CREB, PSD95, SYN, and drebrin [25]. This finding is further supported by an observational study demonstrating a significantly higher risk of cognitive decline in individuals with lower DHT levels [26].

Clinicians should carefully balance the risk of cognitive decline relative to the therapeutic benefits of alpha-blockers and 5ARIs in managing BPH, particularly in patients who may have a predisposition to dementia [7]. Given these concerns, treatment options with no established association with cognitive decline should be prioritized. Muscarinic receptor antagonists, a class of anticholinergics, have been linked to an increased risk of cognitive impairment, especially in older patients or those at risk for dementia [27]. Therefore, the use of these agents should be approached with caution and avoided when possible, in favor of safer alternatives such as phosphodiesterase type 5 inhibitors or surgical interventions [28]. A patient-centered approach incorporating shared decision-making can help balance symptom relief with cognitive safety. Even when combination therapy is considered clinically appropriate, clinicians should remain attentive to potential cognitive consequences. Regular cognitive assessments should be considered for patients receiving longterm therapy to facilitate the early detection of cognitive decline [29]. Integrating cognitive assessments into routine follow-up visits for BPH management may improve early intervention and overall patient outcomes [30]. This proactive approach ensures that treatment decisions prioritize not only urological health but also long-term cognitive well-being, particularly in vulnerable patient populations.

While our findings provide important insights into the potential cognitive effects of BPH pharmacotherapies, they should be interpreted in light of several limitations. The relatively small number of included studies reduces the statistical power of our analyses. Although Bayesian NMA can partially account for variability, the substantial heterogeneity observed in our results warrants careful interpretation. This heterogeneity likely reflects differences in study populations and outcome measures across included studies, which may increase uncertainty in the findings. Because the included studies were observational, methodological limitations such as the absence of randomization, the inability to establish causality, and restricted control over key variables could not be mitigated. In addition, evaluation of the roles and dosing schedules of the various classes of BPH medications was not feasible. These deficiencies in the data restrict generalizability to broader populations and limit the ability to draw definitive conclusions regarding long-term efficacy and safety. Future research should prioritize large-scale, longitudinal studies with standardized outcome definitions. Such studies are needed to clarify causal pathways, including those involving hormonal regulation and vascular effects, and to investigate high-risk subgroups to better understand underlying mechanisms. In addition, comparative research involving all classes of BPH medications with extended follow-up periods is needed to clarify the potential link between alpha-blockers or 5ARIs and dementia risk, ultimately guiding safer and more effective therapies within precision medicine.

This NMA found no significant overall association between BPH medications and an increased risk of dementia. However, pairwise comparisons and SUCRA rankings indicated a relatively higher risk of dementia associated with 5ARIs. Given the uncertain impact of 5ARIs on disease progression and mental health outcomes, further research is needed. Clinicians should carefully evaluate the long-term use of 5ARIs or surgical intervention in older BPH patients, particularly those with dementia. Patient counseling should include discussion of potential adverse effects, and management strategies should be individualized. Routine cognitive assessments are recommended to facilitate early detection and intervention for cognitive decline, thereby improving long-term outcomes.

Notes

Grant/Fund Support

This study received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Conflict of Interest

No potential conflict of interest relevant to this article was reported.

ACKNOWLEDGMENTS

The authors are grateful to colleagues from Atma Jaya Catholic University of Indonesia, Tarumanagara University, Universitas Airlangga, University of Pattimura, and National Hospital for all support and contributions provided.

AUTHOR CONTRIBUTION STATEMENT

· Conceptualization: KJKN, FXR

· Data curation: KJKN, NN, PAS, RY

· Formal analysis: FXR, NN, SKL, AW, PYS

· Methodology: FXR, SKL, AW, PYS

· Visualization: PAS, RY

· Writing - original draft: KJKN, FXR, NN, PAS, SKL, RY, AW, PYS

· Writing - review & editing: KJKN, FXR, NN, PAS, SKL, RY, AW, PYS

References

1. Lim KB. Epidemiology of clinical benign prostatic hyperplasia. Asian J Urol 2017;4:148–51.
2. Stephan Y, Sutin AR, Luchetti M, Terracciano A. Subjective age and risk of incident dementia: evidence from the National Health and Aging Trends survey. J Psychiatr Res 2018;100:1–4.
3. Nørgaard M, Horváth-Puhó E, Corraini P, Sørensen HT, Henderson VW. Sleep disruption and Alzheimer’s disease risk: inferences from men with benign prostatic hyperplasia. EClinicalMedicine 2021;32:100740.
4. Sandhu JS, Bixler BR, Dahm P, Goueli R, Kirkby E, Stoffel JT, et al. Management of lower urinary tract symptoms attributed to benign prostatic hyperplasia (BPH): AUA guideline amendment 2023. J Urol 2024;211:11–9.
5. Holanda VA, Oliveira MC, de Oliveira Torres CI, de Almeida Moura C, Belchior H, da Silva Junior ED, et al. The alpha1A antagonist tamsulosin impairs memory acquisition, consolidation and retrieval in a novel object recognition task in mice. Behav Brain Res 2024;469:115027.
6. Dušková M, Hill M, Stárka L. The influence of low dose finasteride, a type II 5α-reductase inhibitor, on circulating neuroactive steroids. Horm Mol Biol Clin Investig 2010;1:95–102.
7. Kim YJ, Tae BS, Bae JH. Cognitive function and urologic medications for lower urinary tract symptoms. Int Neurourol J 2020;24:231–40.
8. Sohn JH, Lee SH, Kwon YS, Kim JH, Kim Y, Lee JJ. The impact of tamsulosin on cognition in Alzheimer disease with benign prostate hyperplasia: a study using the Hallym Smart Clinical Data Warehouse. Medicine (Baltimore) 2020;99:e20240.
9. Welk B, McArthur E, Ordon M, Morrow SA, Hayward J, Dixon S. The risk of dementia with the use of 5 alpha reductase inhibitors. J Neurol Sci 2017;379:109–11.
10. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71.
11. Higgins JPT, Morgan RL, Rooney AA, Taylor KW, Thayer KA, Silva RA, et al. A tool to assess risk of bias in non-randomized followup studies of exposure effects (ROBINS-E). Environ Int 2024;186:108602.
12. van Valkenhoef G, Kuiper J. gemtc: network meta-analysis using Bayesian methods [Internet]. The R Foundation; 2023 [cited 2025 Mar 11]. Available from: https://cran.r-project.org/web/packages/gemtc/index.html.
13. Béliveau A, Boyne DJ, Slater J, Brenner D, Arora P. Bugsnet: an R package to facilitate the conduct and reporting of Bayesian network meta-analyses. BMC Med Res Methodol 2019;19:196.
14. Seo M, Schmid C. bnma: Bayesian Network Meta-Analysis using “JAGS” [Internet]. The R Foundation; 2024 [cited 2025 Mar 11]. Available from: https://cran.r-project.org/web/packages/bnma/index.html.
15. Thom H, White IR, Welton NJ, Lu G. Automated methods to test connectedness and quantify indirectness of evidence in network meta-analysis. Res Synth Methods 2019;10:113–24.
16. Nevill CR, Cooper NJ, Sutton AJ. A multifaceted graphical display, including treatment ranking, was developed to aid interpretation of network meta-analysis. J Clin Epidemiol 2023;157:83–91.
17. Duan Y, Grady JJ, Albertsen PC, Helen Wu Z. Tamsulosin and the risk of dementia in older men with benign prostatic hyperplasia. Pharmacoepidemiol Drug Saf 2018;27:340–8.
18. Tae BS, Jeon BJ, Choi H, Cheon J, Park JY, Bae JH. α-Blocker and risk of dementia in patients with benign prostatic hyperplasia: a nationwide population based study using the National Health Insurance Service database. J Urol 2019;202:362–8.
19. Latvala L, Tiihonen M, Murtola TJ, Hartikainen S, Tolppanen AM. Use of α1-adrenoceptor antagonists tamsulosin and alfuzosin and the risk of Alzheimer’s disease. Pharmacoepidemiol Drug Saf 2022;31:1110–20.
20. Garcia-Argibay M, Hiyoshi A, Fall K, Montgomery S. Association of 5α-reductase inhibitors with dementia, depression, and suicide. JAMA Netw Open 2022;5:e2248135.
21. Fung KW, Baye F, Baik SH, McDonald CJ. Tamsulosin use in benign prostatic hyperplasia and risks of Parkinson’s disease, Alzheimer’s disease and mortality: an observational cohort study of elderly Medicare enrollees. PLoS One 2024;19:e0309222.
22. Kingsley R, Tyree S, Jarsania D, Edquist C, Palmer A, Gerberi D, et al. Association between alpha-1 adrenoreceptor antagonist use and cognitive impairment: a systematic review. Int Neurourol J 2024;28:171–80.
23. Kosilov K, Kuzina I, Kuznetsov V, Gainullina Y, Kosilova L, Prokofyeva A, et al. Cognitive functions and health-related quality of life in men with benign prostatic hyperplasia and symptoms of overactive bladder when treated with a combination of tamsulosin and solifenacin in a higher dosage. Aging Male 2018;21:121–9.
24. Kosilov K, Kuzina I, Kuznetsov V, Kosilova L, Ivanovskaya M, Kosilova E. The analysis of the effects of executive functions, working memory and other factors on medication adherence in elderly men with benign prostatic hyperplasia and overactive bladder symptoms. Curr Aging Sci 2020;13:72–80.
25. Pan W, Han S, Kang L, Li S, Du J, Cui H. Effects of dihydrotestosterone on synaptic plasticity of the hippocampus in mild cognitive impairment male SAMP8 mice. Exp Ther Med 2016;12:1455–63.
26. Hsu B, Cumming RG, Waite LM, Blyth FM, Naganathan V, Le Couteur DG, et al. Longitudinal relationships between reproductive hormones and cognitive decline in older men: the Concord Health and Ageing in Men Project. J Clin Endocrinol Metab 2015;100:2223–30.
27. Wagg A, Verdejo C, Molander U. Review of cognitive impairment with antimuscarinic agents in elderly patients with overactive bladder. Int J Clin Pract 2010;64:1279–86.
28. Peixoto CA, Gomes FO. The role of phosphodiesterase-5 inhibitors in prostatic inflammation: a review. J Inflamm (Lond) 2015;12:54.
29. Bortnick EM, Simma-Chiang V, Kaplan SA. Long-term consequences of medical therapy for benign prostatic hyperplasia. Rev Urol 2019;21:154–7.
30. Glaser AP, Smith AR, Maglaque D, Helfand BT, Mohamed R, An H, et al. Enhanced clinical decisions for management of benign prostatic hyperplasia using patient-reported outcomes: protocol for a prospective observational study. BMC Urol 2024;24:110.

Article information Continued

Fig. 1.

PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) flow diagram of study selection.

Fig. 2.

Risk of bias assessment using the Cochrane ROBINS-I V2 (Risk of Bias In Non-randomized Studies of Interventions, Version 2) tool.

Fig. 3.

Network plot of benign prostatic hyperplasia medications and no treatment in relation to dementia risk. The nodes represent the interventions evaluated: tamsulosin, doxazosin, terazosin, alfuzosin, dutasteride, finasteride, and no treatment. Line thickness and numbers indicate the volume of direct head-to-head evidence.

Fig. 4.

Litmus rank-o-gram benign prostatic hyperplasia medications for dementia risk. The cumulative ranking curves display the probability of each treatment being ranked from best (1) to worst (7). The surface under the cumulative ranking curve (SUCRA) values, shown on the right with a color gradient (green=more favorable, red=less favorable), represent the overall ranking of each intervention. No treatment had the highest SUCRA value, while dutasteride and finasteride showed the lowest SUCRA values.

Fig. 5.

Trace plots and Gelman-Rubin convergence for dementia risk associated with alpha-blockers and 5-alpha reductase inhibitors. The black line represents the median shrink factor, and the red dashed line represents the 97.5% upper quantile. Shrink factors for all treatment comparisons and the between-study variance (sd.d) converged to 1.00 following the burn-in period, indicating satisfactory convergence of the Markov Chain Monte Carlo (MCMC simulations). sd.d, standard deviation of the random-effects distribution.

Table 1.

Baseline characteristics of the included studies

Study Design Database Mean follow-up (mo) Dementia diagnostic criteria Groups (n) Doses (mg) Age (yr) Race HT (%) DM (%) Duration of drug consumption (mo)
Duan et al. 2018 [17] Retrospective cohort Multicenter - Data from United State Medicare beneficiaries from 2006–2012 19.8 Dementia was diagnosed according to ICD-9 No treatment 180.926 Not applicable 73.4 White (86.8%) 64.3 26.7 ≥12
Black (5.6%)
Hispanic (2.5%)
Others (5.1%)
Tamsulosin 253.136 0.4 73.7 White (85.7%) 64.9 26.7
Black (5.7%)
Hispanic (3.1%)
Others (5.5%)
Terazosin 23.858 5.0 73.9 White (80.8%) 69.1 28.7
Black (7.2%)
Hispanic (4.5%)
Others (7.5%)
Doxazosin 28.581 4.0 73.4 White (77.7%) 70.8 29.3
Black (8.1%)
Hispanic (5.2%)
Others (9.1%)
Dutasteride 34.027 0.5 74.0 White (85.9%) 63.7 25.3
Black (4.8%)
Hispanic (3.5%)
Others (5.9%)
Finasteride 38.767 5.0 74.7 White (87.3%) 65.0 26.2
Black (5.4%)
Hispanic (2.8%)
Others (4.5%)
Tae et al. 2019 [18] Retrospective cohort Multicenter - Korea national health insurance service database 56.42 Dementia was diagnosed according to ICD-10 No treatment 3.336 Not applicable 77.0 NA 64.0 31.9 ≥ 6.4
Tamsulosin 33.568 0.4 76.5 63.6 30.6
Terazosin 9.443 5.0 76.7 55.6 27.2
Doxazosin 7.012 4.0 76.5 60.1 28.0
Alfuzosin 5.904 10.0 76.1 58.3 27.1
Latvala et al. 2022 [19] Case control Multicenter - the Finnish nationwide MEDALZ (Medication use and Alzheimer Disease) 36 Dementia was diagnosed according to NINCDS-ADRDA and DSM, 4th edition Tamsulosin 16.400 0.4 80.4 NA NA 12.0 ≥ 36
Alfuzosin 3.253 10.0 79.6 11.6
Garcia-Argibay et al. 2022 [20] Retrospective cohort Multicenter - multiple Swedish national register 168.0 Dementia was diagnosed according to ICD-10 No treatment 1,837,474 Not applicable NA NA 6.7 5.9 ≥1
Dutasteride 8.582 0.5 74.0 11.4 8.6
Finasteride 70.645 5.0 75.0 11.1 8.3
Fung et al. 2024 [21] Retrospective cohort Multicenter - Centers for Medicare and Medicaid Services 37.2 Dementia was diagnosed according to ICD-9 prior to October 2015 and ICD-10 thereafter Tamsulosin 898.523 NA 69.1 White (75.5%) NA NA 14.8
Black (7.5%)
Hispanic (8.9%)
Asian (3.6%)
Others (4.5%)
Terazosin 41.590 68.3 White (67.8%) 21.4
Black (8.6%)
Hispanic (13.6%)
Asian (5.7%)
Others (4.3%)
Doxazosin 42.131 68.3 White (69.0%) 22.0
Black (10.4%)
Hispanic (12.8%)
Asian (3.6%)
Others (4.2%)
Alfuzosin 26.408 68.3 White (80.3%) 13.8
Black (5.2%)
Hispanic (6.1%)
Asian (2.5%)
Others (5.8%)
Dutasteride 14.594 67.8 White (78.9%) 15.8
Black (6.1%)
Hispanic (6.9%)
Asian (3.6%)
Others (4.6%)
Finasteride 72.276 68.7 White (76.7%) 20.7
Black (6.5%)
Hispanic (8.4%)
Asian (3.4%)
Others (5.0%)
Summarya) 3,650,434 71.1 21.3 11.2

HT, hypertension; DM, diabetes mellitus; ICD, International Statistical Classification of Diseases and Related Health Problems; NA, not available; NINCDS-ADRDA, National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer’s Disease and Related Disorders Association; DSM, Diagnostic and Statistical Manual of Mental Disorders.

a)

Accounting for only the available data.

Table 2.

Pairwise RR meta-analysis for dementia risk associated with alpha-blockers and 5ARIs

Pairwise RR (95% CI) I2 P-value
No-treatment vs. tamsulosin 0.99 (0.62–1.57) 99% 0.95
No-treatment vs. terazosin 0.99 (0.83–1.18) 93% 0.94
No-treatment vs. doxazosin 1.12 (0.98–1.29) 88% 0.10
No-treatment vs. dutasteride 0.24 (0.01–4.46) 100% 0.34
No-treatment vs. finasteride 0.22 (0.02–3.27) 100% 0.27
Tamsulosin vs. terazosin 1.14 (0.87–1.48) 98% 0.35
Tamsulosin vs. doxazosin 1.13 (0.90–1.42) 97% 0.29
Tamsulosin vs. alfuzosin 1.14 (0.93–1.39) 95% 0.22
Tamsulosin vs. dutasteride 1.27 (1.07–1.51) 75% 0.005
Tamsulosin vs. finasteride 1.16 (1.08–1.26) 68% 0.0001
Terazosin vs. doxazosin 1.00 (0.84–1.20) 93% 0.97
Terazosin vs. alfuzosin 1.17 (1.09–1.24) 0% < 0.00001
Terazosin vs. dutasteride 0.97 (0.65–1.44) 93% 0.87
Terazosin vs. finasteride 0.91 (0.79–1.05) 74% 0.18
Doxazosin vs. alfuzosin 1.21 (0.91–1.62) 89% 0.19
Doxazosin vs. dutasteride 1.92 (0.58–6.36) 99% 0.29
Doxazosin vs. finasteride 1.80 (0.70–4.63) 99% 0.23
Dutasteride vs. finasteride 0.97 (0.80–1.18) 97% 0.75

The table summarizes pooled RRs with 95% CIs, heterogeneity estimates (I²), and corresponding P-values for each direct comparison.

5ARI, 5-alpha reductase inhibitor; RR, risk ratio; CI, confidence interval.

Table 3.

Netleague table of RRs for dementia risk associated with alpha-blockers and 5ARIs

Alfuzosin Doxazosin Dutasteride Finasteride No treatment Tamsulosin Terazosin
Alfuzosin Alfuzosin 1.11 (0.33–3.76) 1.65 (0.46–6.11) 1.70 (0.46–6.19) 0.60 (0.17–2.17) 1.21 (0.41–3.52) 1.10 (0.33–3.72)
Doxazosin 0.90 (0.27–3.00) Doxazosin 1.49 (0.45–4.88) 1.52 (0.46–5.02) 0.54 (0.16–1.76) 1.09 (0.36–3.26) 0.99 (0.32–3.07)
Dutasteride 0.60 (0.16–2.18) 0.67 (0.20–2.21) Dutasteride 1.02 (0.33–3.15) 0.36 (0.11–1.16) 0.73 (0.23–2.31) 0.67 (0.20–2.20)
Finasteride 0.59 (0.16–2.15) 0.66 (0.20–2.17) 0.98 (0.32–3.01) Finasteride 0.35 (0.11–1.13) 0.71 (0.22–2.29) 0.65 (0.20–2.16)
No treatment 1.67 (0.46–6.04) 1.86 (0.57–6.13) 2.77 (0.86–8.90) 2.84 (0.88–9.06) No treatment 2.02 (0.64–6.40) 1.84 (0.56–6.07)
Tamsulosin 0.83 (0.28–2.42) 0.92 (0.31–2.78) 1.36 (0.43–4.44) 1.40 (0.44–4.50) 0.49 (0.16–1.57) Tamsulosin 0.91 (0.31–2.71)
Terazosin 0.91 (0.27–3.08) 1.01 (0.33–3.14) 1.50 (0.45–4.98) 1.54 (0.46–5.06) 0.54 (0.16–1.78) 1.10 (0.37–3.26) Terazosin

This table presents risk ratios (RRs) with 95% confidence intervals (CIs) derived from the Bayesian Network meta-analysis, integrating both direct and indirect evidence across the treatment network.

5ARI, 5-alpha reductase inhibitor.