Evidence map›Paper›PMID 42778630›Full record

ReviewNature reviews. Urology2026

The potential of soft robotics for the restoration of urinary voiding.

Yongqi Zhang, Eric M Yeatman, Ranan Dasgupta

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Urology, 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

3 authors.

Yongqi ZhangDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK. yongqi.zhang21@imperial.ac.uk.ORCID http://orcid.org/0009-0007-3583-0468
Eric M YeatmanDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK.
Ranan DasguptaDepartment of Electrical and Electronic Engineering, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current treatment options for chronic urinary retention secondary to detrusor underactivity are limited, and the mainstay is simply drainage by catheterization. The interdisciplinary field of bioelectronics could help to advance the prospect of artificial bladder emptying: first, by restoring continence control using human-in-the-loop mechanical compression to facilitate voiding and, second, by providing some of the components for managing detrusor overactivity, possibly using autonomous, closed-loop neuromodulation to inhibit aberrant contractions during storage. Pneumatic, magnetic and dielectric elastomer actuators are emerging and demonstrate varying levels of technology readiness; each type is associated with mechanical and biological challenges of implantation, including fibrotic encapsulation and power delivery. Furthermore, algorithmic continence control has ethical implications and the regulatory pathways for adaptive machine learning in bioelectronics must be created to outline the definitive roadmap required for this technology to reach clinical reality.

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.