Evidence map›Paper›PMID 41377701›Full record

ArticleFrontiers in digital health2025

Real-time digital monitoring of continuous bladder irrigation: clinical evaluation of a sensor-based system for hematuria and catheter-associated events.

M Glienke, A Krumnau, A C Reichelt, G Reis, C Steiner, P F Pohlmann, F F Dressler, C Gratzke, A Miernik, D S Schöb

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

10 authors.

M GlienkeDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
A KrumnauDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
A C ReicheltDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
G ReisGerman Research Center for Artificial Intelligence, Kaiserslautern, Germany.
C SteinerDigital Biomedical Imaging Systems AG, Pforzheim, Germany.
P F PohlmannDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
F F DresslerDepartment of Pathology, Faculty of Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany.
C GratzkeDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
A MiernikDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.
D S SchöbDepartment of Urology, Faculty of Medicine, Medical Centre-University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Continuous bladder irrigation (CBI) is commonly applied after transurethral resection of the prostate (TURP) or bladder tumor (TURBT) to prevent clot formation and maintain catheter patency. Despite its widespread use, the monitoring of CBI remains largely manual and subjective, relying on intermittent visual inspection of outflow characteristics. This approach is labor-intensive, prone to inter-observer variability, and can delay recognition of complications such as active bleeding, catheter obstruction, or bladder overdistension. We developed VisIMon, a digital monitoring system that enables continuous, sensor-based surveillance of CBI parameters including hemoglobin (Hb) concentration, inflow/outflow volumes, and flow disturbances. Methods: In this prospective feasibility study, 20 patients undergoing CBI after transurethral surgery were monitored with the VisIMon system for approximately four hours postoperatively. The system continuously recorded Hb concentration in the outflow via an optical sensor and tracked fluid dynamics using weight-based measurements. Manual reference data were collected every 20 min using a graduated measuring beaker and a digital scale. Blood gas analysis (BGA) was performed at the clinician's discretion in cases of suspected bleeding. All data were synchronized and visualized for graphical analysis. Results: The system operated reliably in all patients without technical failure or adverse events. The mean deviation between VisIMon-based and manually measured outflow volumes was -16 ml (range: -84 to + 73 ml), indicating acceptable accuracy. Hb trends recorded by the sensor corresponded qualitatively with available BGA data. The system detected clinically relevant flow irregularities-such as drainage interruptions and air bubbles-which were confirmed during bedside assessments. Patients tolerated the system well, and staff reported high usability and value in the graphical displays of real-time irrigation dynamics. Conclusion: The VisIMon system enabled continuous, objective monitoring of bladder irrigation in postoperative urological care. It demonstrated feasibility, accuracy, and user acceptance in a clinical setting and offers a promising tool for improving patient safety and workflow efficiency. Further validation in larger studies is warranted to assess its long-term impact and potential integration into closed-loop irrigation systems.

Indexed as

bladder irrigationcatheter monitoringdigital healthhematuriapatient safetyreal-time sensoringsensor technologyurology

Identifiers

PMID41377701
PMCPMC12687136

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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.