Evidence map›Paper›PMID 40919823›Full record

ReviewAdvanced healthcare materials2026

Recent Technological Advances in Monitoring and Neuromodulation of Non-Malignant and Neurogenic Bladder Conditions.

Chang Liu, Yifan Wang, Mario Romero-Ortega, Argyrios Stampas, Yingchun Zhang, Philippe Zimmern, Zhengwei Li

Abstract readReview
In one paragraph

Review in Advanced healthcare materials, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Chang LiuDepartment of Biomedical Engineering, University of Houston, Houston, TX, 77204, USA.ORCID 0000-0001-5000-4737
Yifan WangDepartment of Biomedical Engineering, University of Houston, Houston, TX, 77204, USA.
Mario Romero-OrtegaDepartment of Biomedical Engineering, The University of Arizona, Tucson, AZ, 85721, USA.
Argyrios StampasDepartment of Physical Medicine and Rehabilitation, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA.
Yingchun ZhangDepartment of Biomedical Engineering, University of Miami, Coral Gables, FL, 33146, USA.
Philippe ZimmernDepartment of Urology, The University of Texas Southwestern, Dallas, TX, 75390, USA.
Zhengwei LiDepartment of Biomedical Engineering, University of Houston, Houston, TX, 77204, USA.ORCID 0000-0003-3303-0778

Funding

Wireless, Closed?loop System to Restore Urological Dysfunction after Spinal Cord InjuryR21EB037317 · NIBIB · UNIVERSITY OF HOUSTON · PI Zhengwei Li · 2025 to 2026
$398k
NIBIB NIH HHS R21 EB037317NIBIB NIH HHS R21EB037317TIRR FoundationUniversity of HoustonUT Southwestern Medical Center
6 · The paper itself

Abstract

Neurogenic bladder and lower urinary tract (LUT) dysfunctions encompass a wide variety of urinary disorders resulting from nervous system impairments. Unfortunately, conventional treatments are still limited and can have significant complication rates, especially when stent implantations or other surgical procedures are involved. Therefore, there is a critical need to develop novel therapeutic strategies and pharmacological approaches to address these challenging urological conditions. Recent technological advances offer promising solutions to overcome some of these challenges faced by patients with bladder and LUT dysfunction. This review summarizes recent progress in advanced urotechnologies, focusing on bladder monitoring and neuromodulation approaches, advanced medical instruments and devices, and the latest wireless, battery-free bioelectronic implants for bladder care. These emerging engineered platforms offer the potential for real-time monitoring and improved patient outcomes while minimizing the risks associated with traditional treatments. Outlook and future directions are also discussed, highlighting how technological innovations-enabled by interdisciplinary efforts-can lead to next-generation urotechnologies. These include multimodal closed-loop strategies, artificial intelligence, deep-tissue sensing techniques, and other approaches aimed at addressing a wide variety of complex urological conditions affecting the bladder and beyond.

Indexed as

Urinary Bladder, NeurogenicHumansMonitoring, PhysiologicUrinary Bladderbioelectronic medicinebladder monitoringlower urinary tract dysfunction (LUTD)neurogenic bladderneuromodulationurotechnology

Identifiers

PMID40919823
PMCPMC13034882

What OpenQuestion holds

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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.