Evidence mapPaperPMID 42483687Full record

SynthesisFrontiers in endocrinology2026

Induced diabetic neurogenic bladder animal models: application characteristics and standardization proposals via systematic data mining.

Aihong Jin, Xiankang Shao, Xiaoping Liang, Bowen Xing, Simin Qin, Yujun He

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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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

6 authors.

Aihong Jin *Department of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Xiankang Shao *Department of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.
Xiaoping Liang *Rehabilitation Department, The First People's Hospital of Linhai City, Taizhou, Zhejiang, China.
Bowen XingDepartment of Preventive Treatment of Traditional Chinese Medicine, The First People's Hospital of Chenzhou City, Chenzhou, Hunan, China.
Simin QinRehabilitation Medicine Department, The Second Affiliated Hospital of Hainan Medical University, Haikou, China.
Yujun HeDepartment of Traditional Chinese Medicine, Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University, Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic Neurogenic Bladder (DNB) is a prevalent urological disorder and autonomic nervous system complication associated with diabetes mellitus. This condition may lead to severe renal damage if not properly managed. Despite its clinical significance, there is a lack of unified standards for current DNB animal models, and previous review articles fail to provide sufficient objective data to support their conclusions. Objective: The present study aims to systematically summarize the characteristics of DNB animal models through data mining techniques, thereby offering a theoretical reference for the establishment of standardized DNB animal models. Method: Relevant studies were searched in 7 databases including PubMed and CNKI. After screening in accordance with the PRISMA flow diagram, a total of 352 eligible studies were included in the analysis. The SYRCLE tool was employed for quality assessment of the included studies, while SPSS Modeler (utilizing the Apriori algorithm) and R software were used for statistical analysis and result visualization. Results: SD rats, Wistar rats, and C57BL/6 mice were identified as the primary animal species used for constructing DNB models, with male animals accounting for 82.39% of the total. Chemical induction (predominantly streptozotocin, STZ; 74.15%) and combined induction with STZ plus a high-sugar and high-fat diet (13.64%) were the mainstream modeling methods. The most commonly used STZ dose was 60 mg/kg (administered as a single injection), and the typical modeling cycle was 8 weeks. The core criteria for successful modeling were the combined detection of blood glucose, urodynamics, and glycated hemoglobin (HbA1c). However, existing studies exhibited certain biases, such as insufficient blinding procedures. The characteristics of detection indicators were centered on a dual core of "basic pathological changes of diabetes mellitus + local bladder lesions," involving mechanisms including inflammation, oxidative stress, fibrosis, neuroinjury, and cell death. Conclusions: This study clarifies the current application status of DNB animal models, addressing the research gap existing in previous review articles. Future research should focus on optimizing modeling protocols, promoting the application of non-invasive detection indicators, and enhancing the standardized reporting of study details.

Indexed as

Data MiningDiabetes ComplicationsDiabetes Mellitus, ExperimentalDisease Models, AnimalUrinary Bladder, NeurogenicAnimalsMaleMiceMice, Inbred C57BLRatsRats, Wistardata miningdetection markersdiabetic bladder dysfunctiondiabetic neurogenic bladdermodeling parameterspreclinical animal modelvalidation criteria

Identifiers

PMID42483687
PMCPMC13385230

What Socratic holds

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LicenceCC BY
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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 Socratic graph.