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Published on: November 8, 2015
Clinical trials, immunosuppression and renal transplantation: new trends in design and analysis
Paul Landais1, Jean-Pierre Daures
1Laboratoire de Biostatistique et d'Informatique Médicale, Hôpital Necker Enfants Malades, Faculté Paris 5, 149 rue de Sèvres, 75743 Paris Cedex 15, France. landais@necker.fr
Abstract:
Clinical trials provide a framework to search for more effective and less toxic immunosuppressive agents to control renal transplant rejection. Some methodological aspects are presented. Patient selection and the choice of study endpoints are discussed with emphasis on standardized definitions and classification of histopathology, and on qualification and quantification of chronic rejection. Choosing a Bayesian or a frequentist approach and the afferent hypotheses is discussed together with the interpretation of a P-value and a confidence interval. Strategies for limiting the number of patients, increasing power and feasibility are reviewed, including discussion of surrogate endpoints. New approaches to statistical analysis are then presented, including intention-to-treat versus per-protocol analysis, analysis of correlated data, dependent censoring, and meta-analysis applied to renal transplantation. Pharmacoeconomics are finally introduced as necessary for implementation of decision making regarding therapeutic strategies. Reporting research increases its standards, and the CONSORT (Consolidated Standards of Reporting Trials) and QOROM (Quality of Reporting of Meta-analyses) criteria are to be integrated in the process of clinical trial procedures. In conclusion, observational studies are presented as part of an evidence-based approach in the hierarchy of evidence, keeping in mind that high quality, randomized, controlled trials are still necessary to decrease uncertainty in the field of renal transplantation.
Insights
This study reviews clinical trial methodologies for renal transplant rejection, focusing on patient selection, endpoints, and statistical analysis. It emphasizes high-quality randomized controlled trials for advancing immunosuppressive therapies and reducing uncertainty.
Area of Science:
- Nephrology and Transplant Medicine
- Clinical Trial Methodology
- Immunosuppression Research
Background:
- Renal transplant rejection necessitates effective and less toxic immunosuppressive agents.
- Existing clinical trial frameworks require methodological refinement for optimal control of rejection.
Purpose of the Study:
- To present and discuss key methodological aspects of clinical trials in renal transplantation.
- To guide the selection of patients, endpoints, and statistical approaches for robust trial design.
- To explore strategies for enhancing trial efficiency and the integration of pharmacoeconomics and reporting standards.
Main Methods:
- Discussion of patient selection criteria and study endpoints, including standardized histopathology.
- Exploration of Bayesian and frequentist statistical approaches, P-values, and confidence intervals.
- Review of strategies for sample size reduction, power enhancement, and analysis of complex data (e.g., correlated data, meta-analysis).
Main Results:
- Standardized definitions for histopathology and chronic rejection are crucial for endpoint evaluation.
- Advanced statistical methods, including intention-to-treat analysis and meta-analysis, improve data interpretation.
- Pharmacoeconomics and adherence to reporting guidelines (CONSORT, QOROM) are essential for clinical decision-making and research integrity.
Conclusions:
- High-quality randomized controlled trials remain the gold standard for reducing uncertainty in renal transplantation.
- Observational studies complement RCTs within an evidence-based hierarchy.
- Methodological rigor in clinical trials is paramount for the advancement of immunosuppressive therapies.
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