Evidence map›Paper›PMID 42717563›Full record

ArticlePhysiological reports2026

Early urodynamic profiles predict lower urinary tract recovery after spinal cord injury in female rats.

Behnaz Afrashteh, Steafan Khan, Rabeya Zinnat Adury, Damiano Angoli, Zachary C Danziger

Abstract read
In one paragraph

Article in Physiological reports, 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

5 authors.

Behnaz AfrashtehDivision of Physical Therapy, Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-9441-4268
Steafan KhanDepartment of Biomedical Engineering, Florida International University, Miami, Florida, USA.
Rabeya Zinnat AduryDepartment of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA.
Damiano AngoliDepartment of Biomedical Engineering, Florida International University, Miami, Florida, USA.
Zachary C DanzigerDivision of Physical Therapy, Department of Rehabilitation Medicine, Emory University, Atlanta, Georgia, USA.ORCID 0000-0003-1474-1259

Funding

A new hybrid modeling framework combining biophysics and deep learning to predict and optimize peripheral neuromodulation outcomes in lower urinary tract diseaseR01DK133605 · NIDDK · FLORIDA INTERNATIONAL UNIVERSITY · PI Zachary C Danziger · 2022 to 2026
$3.1M
Craig H. Neilsen Foundation (CHNF) pC ID 460399HHS | National Institutes of Health (NIH) R01DK133605NIDDK NIH HHS R01 DK133605
6 · The paper itself

Abstract

Bladder dysfunction is a major complication after spinal cord injury (SCI) and effective treatment remains challenging. Neurogenic bladder can be difficult to treat because of its heterogeneous and dynamic symptoms. We aimed to (1) characterize heterogeneity in bladder recovery from acute to chronic phases and (2) predict chronic urinary function using early urodynamic parameters. We performed continuous longitudinal urodynamic monitoring in 10 complete T9 SCI and 10 control rats over 4 weeks. A novel metabolic cage system enabled 24/7 tracking of voiding behavior. Key parameters, including voiding efficiency (VE), post-void residual (PVR), and ureter flow rate (UFR), were measured continuously throughout recovery. Unsupervised clustering identified three distinct spinally mediated reflexive voiding phenotypes in the chronic phase (days 20-30), defined by VE and PVR: good (robust efficient voiding), moderate (partial voiding efficiency), and poor (minimal voiding efficiency). No single acute-phase urodynamic parameter (3-10 days post-injury) differed significantly between phenotypes. In contrast, multivariate generalized linear models incorporating parameter interactions, particularly VV × VE and UFR × VE

Indexed as

Recovery of FunctionSpinal Cord InjuriesUrinary BladderUrinary Bladder, NeurogenicUrodynamicsAnimalsFemaleRatsRats, Sprague-DawleyUrinationneurogenic bladderpredictive modelingrecovery phenotypesspinal cord injuryurodynamics

Identifiers

PMID42717563
PMCPMC13559020

What OpenQuestion holds

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Registered trials

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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.