Objective:

To systematically summarize the characteristics of DNB animal models through data mining techniques, providing a theoretical reference for the establishment of standardized DNB animal models.

Approach:

• Data Collection: Relevant studies were searched in 7 databases including PubMed and CNKI, resulting in 352 eligible studies.
• Quality Assessment: The SYRCLE tool was employed for quality assessment of the included studies.
• Statistical Analysis: SPSS Modeler (using the Apriori algorithm) and R software were used for statistical analysis and result visualization.

Key Findings:

• SDrats,Wistarrats,andC57BL/6micearetheprimaryspeciesusedforDNBmodels,withmaleanimalscomprising82.39%.Chemicalinduction,primarilywithstreptozotocin(STZ),accountsfor74.15%ofmodelingmethods,whilecombinedinductionwithSTZandahigh-sugarandhigh-fatdietaccountsfor13.64%.ThemostcommonSTZdoseis60mg/kg,administeredasasingleinjection,withatypicalmodelingcycleof8weeks.Corecriteriaforsuccessfulmodelingincludebloodglucose,urodynamics,andglycatedhemoglobin(HbA1c)detection.

Interpretation:

The study clarifies the application status of DNB animal models.

Limitations:

• Existingstudiesexhibitbiases,includinginsufficientblindingproceduresandalackofconsensusonuniversallystandardizedDNBmodels.

Conclusion:

The study clarifies the current application status of DNB animal models.