Join to access to all OVN content. Join for Free

Results for 'phase III oncology trials'

Leveraging existing data to contextualize phase II clinical trial findings in oncology
OVN Avatar E.M. Ray, L.A. Carey, K.E. Reeder-Hayes
Leveraging existing data to contextualize phase II clinical trial findings in oncology

HER2, phase II trials, oncology, iDFS, EBC, early stage breast cancer

In the USA, over 250,000 women are diagnosed with early-stage breast cancer (EBC) yearly, with up to 30% having HER2 amplification. The standard care for HER2-positive EBC involves chemotherapy plus HER2-directed therapy for one year. The phase II Adjuvant Paclitaxel and Trastuzumab (APT) tr…

Sep 21st • 3 mins read

Professional Medical Writer Assistance in Oncology Clinical Trials
OVN Avatar Ramez Kouzy , Joseph Abi Jaoude , Walker Mainwaring , Timothy A. Lin , Austin B. Miller , Amit Jethanandani , Andres F. Espinoza , Vivek Verma , Clifton D. Fuller , Bruce D. Minsky , Claus Rödel , Cullen M. Taniguchi , Ethan B. Ludmir
Professional Medical Writer Assistance in Oncology Clinical Trials

PMW usage, phase III oncology trials, professional medical writer assistance

The use of professional medical writers (PMWs) in oncologic phase III randomized controlled trials (RCTs) has been historically low, but recent data on their usage is limited. This study aimed to quantify the usage of PMWs in cancer-specific phase III RCTs by analyzing trial manuscripts on Clinic…

Sep 17th • 7 mins read

Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2
OVN Avatar Guillaume Beinse, MD, Virgile Tellier, Valentin Charvet, MSc, Eric Deutsch, MD, PhD, Isabelle Borget, PharmD, PhD, Christophe Massard, MD, PhD., Antoine Hollebecque, MD, PhD, and Loic Verlingue, MD
Prediction of Drug Approval After Phase I Clinical Trials in Oncology: RESOLVED2

clinical trials, RESOLVED2, FDA

  Challenge in Oncology Drug Development: The field is currently facing an increase in the number of antineoplastic agents (ANAs) entering phase I clinical trials (P1CTs) and a high attrition rate for final FDA approval. Objective: Development of a machine learning algorithm, RESOLVED2, to …

Sep 20th • 12 mins read

A Comprehensive Comparison of Additional Benefit Assessment Methods Applied by Institute for Quality and Efficiency in Health Care and European Society for Medical Oncology for Time-to-Event Endpoints After Significant Phase III Trials—A Simulation Study
OVN Avatar Christopher A. Busch, MSC; Johannes Krisam, PhD; Meinhard Kieser, PhD
A Comprehensive Comparison of Additional Benefit Assessment Methods Applied by Institute for Quality and Efficiency in Health Care and European Society for Medical Oncology for Time-to-Event Endpoints After Significant Phase III Trials—A Simulation Study

cancer drug trials, time-to-event endpoints, overall survival, added benefit assessment, IQWiG, hazard ratio thresholds

The European Society for Medical Oncology (ESMO) and the German Institute for Quality and Efficiency in Health Care (IQWiG) use different methods for assessing additional benefit in cancer therapies, with ESMO considering both relative and absolute benefits, while IQWiG focuses on the upper limit …

Jun 28th • 30 mins read

Tumor Growth Dynamic Modeling in Oncology Drug Development and Regulatory Approval: Past, Present, and Future Opportunities
OVN Avatar Nidal Al-Huniti, Yan Feng, Jingyu (Jerry) Yu, Zheng Lu, Mario Nagase, Diansong Zhou, Jennifer Sheng
Tumor Growth Dynamic Modeling in Oncology Drug Development and Regulatory Approval: Past, Present, and Future Opportunities

tumor growth, drug developement, drug approval, TGD, MIDD, PDUFA

Model-informed drug development (MIDD) has advanced rapidly in recent years, especially in oncology. The Prescription Drug User Fee Act (PDUFA) VI includes commitments to enhance MIDD. Tumor growth dynamic (TGD) modeling is a key MIDD approach used to accelerate drug development, support new dru…

Jun 26th • 18 mins read

Related Topics

Loading...