FREN
Case study

Phase II clinical trial (paediatric oncology) — CINV prevention

Background

A Phase II clinical study was conducted in paediatric oncology to evaluate the efficacy of a new antiemetic intended to prevent chemotherapy-induced nausea and vomiting.

The trial was conducted over several treatment cycles, requiring rigorous follow-up of paediatric patients and careful management of safety and efficacy data.

essai clinique international en maladie rare projet national de centralisation de données clinique en vie réelle, étude clinique de bioéquivalence, Étude clinique sur le diabète étude clinique sur la sécurité d'un agent de contraste

Pharmaspecific’s role

Pharmaspecific provided monitoring and quality follow-up in France, ensuring the completeness of safety and efficacy data.

The team also supported investigator sites with documentation and process compliance, ensuring the study ran smoothly and in line with regulatory requirements.

étude observationnelle multicentrique en oncologie essai clinique de phase III en myélome multiple ; étude de syndromes coronaires aigus

Results

étude observationnelle multicentrique en oncologie essai clinique de phase II en oncologie thoracique étude clinique de sécurité post-autorisation essai clinique international de phase III en lymphome

• Symptom diary completion rate above 90%

• Limited protocol deviations

• High compliance with follow-up windows

These results enabled a robust assessment of the efficacy and tolerability of the investigational treatment.

Key takeaways

This project illustrates the ability of Pharmaspecific to work on sensitive paediatric studies, where data quality and reliability are decisive.

The experience gained strengthens its expertise in paediatric oncology, particularly in managing multicentre trials that require rigorous oversight and a human approach adapted to young patients.

Through this assignment, Pharmaspecific confirms its expertise in clinical research applied to hospital practice, and its commitment to patient-centred research and data quality.