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Limb Deformities Congenital clinical trials

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NCT ID: NCT05953857 Not yet recruiting - Penttinen Syndrome Clinical Trials

Knowing and Treating Kosaki/Penttinen Syndromes

IKKoPeS
Start date: October 2023
Phase:
Study type: Observational

Kosaki overgrowth syndrome (KOGS) and Penttinen syndrome (PS) are extremely rare multisystem disorders caused by heterozygous activating variants of the PDGFRB gene. KOGS results in characteristic craniofacial, orthopedic, skin and neurological disorders. PS is a progeroid disease responsible for a prematurely aged appearance. Patients suffer significant morbidity and mortality due to various complications. Tyrosine Kinase Inhibitors (TKIs) targeting PGDFRB appear to be a potential treatment option, as evidenced by a few case reports showing clinical improvement in some patients, with modest and self-resolving side effects. The natural history of these two syndromes remains poorly understood as only case-reports have been published. Therefore, an international consortium was created in December 2019 by Pr FAIVRE (CHU Dijon Bourgogne & ERN ITHACA) to follow treated and untreated patients in a real-life, multicentre, observational study, in order to expand our knowledge of these ultra-rare diseases. In the longer term, we believe that TKIs could bring clinical benefit to KOGS/PS patients.

NCT ID: NCT05547308 Not yet recruiting - Clinical trials for Congenital Abnormalities

Evaluation of 3D Printed Myoelectric Prosthetic Devices in Children With Upper Congenital Limb Deficiency

Start date: November 2022
Phase: N/A
Study type: Interventional

This will be a prospective study over a 14-month duration with clinical evaluations throughout. Limitless Solutions will provide prosthetics and training system for study subjects that qualify for enrollment.

NCT ID: NCT05182333 Not yet recruiting - Clinical trials for Congenital Limb Anomaly Nos

Congenital Hand and Upper Extremity Malformations

Start date: February 1, 2022
Phase:
Study type: Observational

Getting the incidence of upper limb anomalies in our department from 2000 to 2020 and classifying them using IFSSH classification and OMT classification