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Tissue engineering in animal models for urinary diversion: a systematic review
Marije Sloff1, Rob de Vries2, Paul Geutjes1
1Department of Urology, Nijmegen Centre for Molecular Life Sciences, Radboud University Medical Center, Nijmegen, The Netherlands.
Plos One
|June 26, 2014
Summary
Tissue engineering and regenerative medicine (TERM) offers potential for urinary diversion alternatives. However, current animal studies lack standardization and control groups, hindering clinical translation.
Area of Science:
- Biomedical Engineering
- Regenerative Medicine
- Urology
Background:
- Gastrointestinal tissue is traditionally used for urinary diversion.
- Tissue engineering and regenerative medicine (TERM) offers potential alternative solutions.
- Clinical translation requires robust preclinical evaluation in standardized animal models.
Purpose of the Study:
- To systematically review and analyze evidence on tissue-engineered constructs for urinary diversion in animal models.
- To assess the quality of reporting and identify limitations in existing studies.
- To guide future research towards clinically translatable TERM solutions.
Main Methods:
- Systematic literature search of PubMed, Embase, and Web of Science.
- Meta-analysis of experimental outcomes from retrieved studies (8 total).
- Assessment of study design, animal models, biomaterials, and reporting quality.
Main Results:
- High heterogeneity observed in study designs, animal models, and biomaterials.
- All studies were feasibility-focused, lacking appropriate control groups.
- Meta-analysis indicated a trend towards success in larger animals, but no optimal model was identified.
- Methodological reporting was insufficient for study replication.
Conclusions:
- Current animal models for TERM in urinary diversion may not be optimally chosen for predictive value.
- There is a critical need for controlled, comparative, long-term animal studies with standardized reporting.
- Improved research quality will reduce animal use and enhance evidence for biomedical advancements.

