SynthesisFrontiers in endocrinology2025
Data mining-based analysis to explore the application of an animal model of diabetic gastroparesis.
Synthesis in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Induced diabetic neurogenic bladder animal models: application characteristics and standardization proposals via systematic data mining.Frontiers in endocrinology · 2026Pooled it
- Zebrafish as a translational platform for investigating multi-organ pharmacological interactions of traditional Chinese medicine.Frontiers in pharmacology · 2026Review
- Data Mining of Acupuncture Prescriptions for Lateral Epicondylitis: A Literature-Based Analysis of Acupoint Patterns and Parameters.Journal of pain research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This review aims to study the characteristics of animal models of diabetic gastroparesis, provide a reference for the standardization of model preparation, and offer a better experimental basis for researching its pathogenesis and diagnosis-treatment strategies. Methods: By searching databases including PubMed, Web of Science, China Knowledge Network, Wanfang Data Knowledge Service Platform, and China Science and Technology Journal Database, we obtained literature on diabetic gastroparesis animal experiments from 2000 to 2024. We assessed the literature for the risk of bias using the Systematic Review Center for Laboratory Animal Experimentation tool. We summarized the animal species, sex, modeling methods, modeling criteria, detection indexes, etc.; established a database using Excel software; and applied SPSS Modeler 18.0 and Cytoscape 3.7.2 to analyze the characteristics of diabetic gastroparesis animal models. Results: A total of 211 articles were included. It was found that Sprague-Dawley rats were the primary animal model, with male rats predominantly used in modeling. Modeling methods primarily included a one-time injection of streptozotocin (60-65 mg/kg) to induce type 1 diabetic gastroparesis or a one-time injection of streptozotocin (40-55 mg/kg) combined with a high-sugar and high-fat irregular diet to induce type 2 diabetic gastroparesis. Most studies set the modeling period as 8 weeks after drug administration. Blood glucose, general condition, and gastric emptying rate were commonly used as modeling criteria, and domperidone served as the positive control drug. Main detection indexes included blood glucose, general condition, gastrointestinal function dynamics, histopathological analysis, immunohistochemistry, Western blotting, etc. Conclusion: There is no recognized modeling method and evaluation standard for diabetic gastroparesis animal models. On the basis of the results of data analysis, it is recommended to use a one-time injection of streptozotocin (60-65 mg/kg) to induce type 1 diabetic gastroparesis animal model or a one-time injection of streptozotocin (40-55 mg/kg) combined with irregular feeding of high-sugar and high-fat feed to induce type 2 diabetic gastroparesis animal model. Blood glucose, general condition, and gastric emptying rate were used to judge the models.
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Registered trials
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.