Integrating evidence from animal experiments is a critical component of biomedical research, providing essential prior information for in-depth investigations of disease mechanisms and new drug development. Animal models have played an irreplaceable role in simulating human diseases. However, the integration of evidence from animal experiments has faced numerous challenges, including insufficient emphasis, significant heterogeneity in study designs, high publication bias, and discrepancies with clinical research practices. This paper first identifies existing issues in the original research evidence from animal experiments, such as the selection and applicability of animal models, considerations in the design of experimental studies, and factors influencing the translation of animal experimental evidence. It then discusses various methods for integrating this evidence, including systematic review and meta-analysis, overview of systematic review/umbrella review, scoping review, and evidence mapping, while highlighting recent advancements in their application. Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.