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Results for 'clinical trial analysis'

Biases in study design, implementation, and data analysis that distort the appraisal of clinical benefit and ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS) scoring
OVN Avatar B. Gyawali, E. G. E. de Vries, U. Dafni, T. Amaral, J. Barriuso, J. Bogaerts, A. Calles, G. Curigliano, C. Gomez-Roca, B. Kiesewetter, S. Oosting, A. Passaro, G. Pentheroudakis, M. Piccart, F. Roitberg, J. Tabernero, N. Tarazona, D. Trapani, R. Wester, G.
Biases in study design, implementation, and data analysis that distort the appraisal of clinical benefit and ESMO-Magnitude of Clinical Benefit Scale (ESMO-MCBS) scoring

ESMO-MCBS, bias, clinical trial design, clinical trial implementation, clinical trial reporting, clinical trial analysis

The ESMO-MCBS is a tool used for scoring the clinical benefit of cancer medicines as reported in clinical trials, assuming valid research methodologies and quality implementation. The tool's effectiveness is compromised by studies with flawed design, implementation, or data analysis, w…

Apr 20th • 8 mins read

Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis
OVN Avatar Jayson L. Parker, Sebnem S. Kuzulugil, Kirill Pereverzev, Stephen Mac, Gilberto Lopes, Zain Shah, Ashini Weerasinghe, Daniel Rubinger, Adam Falconi, Ayse Bener, Bora Caglayan, Rohan Tangri, Nicholas Mitsakakis
Does biomarker use in oncology improve clinical trial failure risk? A large-scale analysis

biomarker, clinical trial, failure, analysis, NSCLC, oncology

Data from clinical trials across four oncology indications (breast cancer, NSCLC, melanoma, and colorectal cancer) from 1998 to 2017 were analyzed to assess drug approval likelihood based on biomarker status. Using multi-state Markov models, which describe stochastic processes, the study…

Feb 23rd • 8 mins read

Seven decades of chemotherapy clinical trials: a pan-cancer social network analysis
OVN Avatar Xuanyi Li, Elizabeth A. Sigworth, Adrianne H. Wu, Jess Behrens, Shervin A. Etemad, Seema Nagpal, Ronald S. Go, Kristin Wuichet, Eddy J. Chen, Samuel M. Rubinstein, Neeta K. Venepalli, Benjamin F. Tillman, Andrew J. Cowan, Martin W. Schoen, Andrew Malty, J
Seven decades of chemotherapy clinical trials: a pan-cancer social network analysis

Cancer Medical research, Randomized controlled trials, Clinical trial design

Clinical trials are crucial in establishing cancer care standards, but the social dynamics among researchers in this field have not been extensively studied. A social network analysis of authors involved in chemotherapy-based prospective trials from 1946 to 2018 reveals significant insights. The …

Oct 16th • 12 mins read

Past, Current, and Future Cancer Clinical Research Collaborations: The Case of the European Organisation for Research and Treatment of Cancer
OVN Avatar Stefanie Broes, Robbe Saesen, Denis Lacombe, Isabelle Huys
Past, Current, and Future Cancer Clinical Research Collaborations: The Case of the European Organisation for Research and Treatment of Cancer

European organisation for Research and Treatment of Cancer, EORTC, clinical research

Collaborations between academic institutions and industry have led to significant scientific breakthroughs in pharmaceutical research, particularly in the discovery phase. The role of multi-stakeholder partnerships in the clinical development of anticancer medicines requires further clarification…

Aug 16th • 8 mins read

Clinical development success rates and social value of pediatric Phase 1 trials in oncology
OVN Avatar Mateusz T. Wasylewski, Karolina Strzebonska, Magdalena Koperny, Maciej Polak, Jonathan Kimmelman, Marcin Waligora
Clinical development success rates and social value of pediatric Phase 1 trials in oncology

pediatric oncology, clinical development, trials, success rates

Pediatric Phase 1 trials in oncology aim to assess social value, focusing on rates of approval, transition to further phases, and citation in research. The study analyzed trials from 2004 to 2013, utilizing data from FDA, EMA, ClinicalTrials.gov, EU Clinical Trials Register, and Google Scholar. …

Jun 21st • 28 mins read

Sponsorship of oncology clinical trials in the United States according to age of eligibility
OVN Avatar Dylan V Neel, David S Shulman, Clement Ma, Florence Bourgeois, Steven G DuBois
Sponsorship of oncology clinical trials in the United States according to age of eligibility

clinical trials, industry, oncology, pediatric, sponsorship

The sponsorship mix of trials relevant to young people with cancer has not been well-documented, which may impact policies and regulations in pediatric cancer drug development. An analysis of interventional trials in the U.S. from 2007 to 2018 was conducted using the ClinicalTrials.gov registry, …

Apr 29th • 8 mins read

Real-World Evidence in Oncology: Opportunities and Limitations
OVN Avatar Massimo Di Maio, Francesco Perrone, Pierfranco Conte
Real-World Evidence in Oncology: Opportunities and Limitations

Real‐world evidence, Clinical trials, Cancer treatments

Randomized controlled trials (RCTs) are traditionally viewed as the gold standard for evaluating treatment efficacy, but real-world evidence (RWE) is gaining traction in oncology for addressing questions not fully answered by RCTs. RWE is derived from health records, cancer registries, and other …

Dec 24th • 8 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

How do cancer clinicians perceive real-world data and the evidence derived therefrom? Findings from an international survey of the European Organisation for Research and Treatment of Cancer
OVN Avatar Robbe Saesen, Georgios Kantidakis, Ann Marinus, Denis Lacombe, Isabelle Huys
How do cancer clinicians perceive real-world data and the evidence derived therefrom? Findings from an international survey of the European Organisation for Research and Treatment of Cancer

real-world evidence, real-world data, oncology, cancer, survey, clinicians, randomized controlled trials, Europe

Real-world evidence (RWE) is increasingly being used in the development and decision-making processes for anticancer therapies, but clinician views on its use are unclear. A survey conducted between May and July 2021 involved 557 clinicians from 30 countries and 13 cancer domains. Most clinician…

Aug 1st • 45 mins read

FDA validation of surrogate endpoints in oncology: 2005–2022
OVN Avatar Anushka Walia, Alyson Haslam, Vinay Prasad
FDA validation of surrogate endpoints in oncology: 2005–2022

FDA drug approval, surrogate endpoints, oncology drugs, overall survival correlation, clinical trials analysis, drug approval guidelines

ere are summary bullets based on the provided text: The FDA has increasingly approved oncologic drugs based on surrogate endpoints, which often lack a demonstrated correlation with clinically meaningful outcomes like overall survival. A review of FDA analyses from 2005 to 2022 examined the valid…

Dec 1st • 20 mins read

Rationale, Strengths, and Limitations of Real-World Evidence in Oncology: A Canadian Review and Perspective
OVN Avatar Laurent Azoulay
Rationale, Strengths, and Limitations of Real-World Evidence in Oncology: A Canadian Review and Perspective

real-world evidence; RWE, real-world studies, RWS, oncology, real-world evidence, RWE, randomized controlled trial, RCT

Data obtained from real-world studies have an integral role in evidence-based medicine, serving as an essential source of safety information and a complement to efficacy data from RCTs. RWE is particularly useful for expanding the evidence base to encompass populations of patients who are not well r…

Apr 26th • 9 mins read

Sponsorship of oncology clinical trials in the United States according to age of eligibility
OVN Avatar Dylan V. Neel, David S. Shulman, Clement Ma, Florence Bourgeois, Steven G. DuBois
Sponsorship of oncology clinical trials in the United States according to age of eligibility

clinical trials, sponsor, pediatric clinical trials, sponsorship

The analysis focuses on the sponsorship of interventional oncology trials for patients under 18 in the U.S. There are fewer industry-sponsored trials for pediatric oncology compared to adult trials and other pediatric disciplines. Industry-sponsored trials tend to be phase III, enroll more patie…

Apr 29th • 6 mins read

Biased by design? Clinical trials and patient benefit in oncology
OVN Avatar Pan Pantziarka, Ciska Verbaanderd & Lydie Meheus
Biased by design? Clinical trials and patient benefit in oncology

clinical trial design, drug development, drug registration, patient benefit, risks of bias

The study by Naci et al. raises numerous questions relating to the design characteristics, risks of bias and reporting of pivotal clinical trials in oncology. These findings add to the existing body of evidence that suggests drug development in oncology is not delivering the clinical benef…

Nov 27th • 3 mins read

Association of Industry and Academic Sponsorship With Negative Phase 3 Oncology Trials and Reported Outcomes on Participant Survival: A Pooled Analysis
OVN Avatar Alfredo Addeo, MD; Glen J. Weiss, MD, MBA; Bishal Gyawali, MD, PhD
Association of Industry and Academic Sponsorship With Negative Phase 3 Oncology Trials and Reported Outcomes on Participant Survival: A Pooled Analysis

pooled analysis, FDA, negative phase 3 trials, phase 3 trial, RCT, PRISMA, RCT's

In this study of trials published in 2016 through 2018, approximately 40% of negative phase 3 RCTs in oncology were conducted without supporting phase 2 trials, and such phase 3 trials were sponsored by both academia and industry. On the basis of our results, proactive steps from regulators and ethi…

May 10th • 8 mins read

Analysis of Control Arm Quality in Randomized Clinical Trials Leading to Anticancer Drug Approval by the US Food and Drug Administration
OVN Avatar Talal Hilal, MD; Mohamad Bassam Sonbol, MD; Vinay Prasad, MD, MPH
Analysis of Control Arm Quality in Randomized Clinical Trials Leading to Anticancer Drug Approval by the US Food and Drug Administration

RCTs, FDA, clinical trials, anticancer, suboptimal control arms

The aim of our analysis was to evaluate the quality of control arms in RCTs leading to anticancer drug approvals by the FDA. We found that, between January 1, 2013, and July 31, 2018, FDA approval of 16 (17%) of 95 anticancer drugs for the market were based on RCTs with sub-optim…

May 2nd • 15 mins read

Estimation of Study Time Reduction Using Surrogate End Points Rather Than Overall Survival in Oncology Clinical Trials
OVN Avatar Emerson Y. Chen, MD, Sunil K. Joshi, BA, Audrey Tran, BA
Estimation of Study Time Reduction Using Surrogate End Points Rather Than Overall Survival in Oncology Clinical Trials

bevacizumab, metastatic breast cancer, RR, PFS, FDA, oncology clinical trials

The use of Response Rate (RR), Progression-Free Survival (PFS), and Overall Survival (OS) in clinical trials leading to FDA approval is associated with different study durations: RR: Median study duration of 25 months (range, 11-54 months). PFS: Median study duration of 31 months (range, 10-…

Apr 1st • 10 mins read

AI-powered real-world evidence: Strategically enhancing value and access
Partner Avatar Envision Pharma Group
AI-powered real-world evidence: Strategically enhancing value and access

Oncology, Clinical Development, Targeted Therapy, Immunotherapy, Genomic Profiling, CAR-T Cell Therapy, Precision Medicine

Real-world evidence (RWE) complements traditional randomized controlled trials by providing insights from diverse data sources, helping healthcare decision-makers with coverage, reimbursement, and treatment guidelines. Artificial intelligence (AI) and natural language processing (NLP) are pivotal…

Aug 22nd • 5 mins read

Are Quality of Randomized Clinical Trials and ESMO-Magnitude of Clinical Benefit Scale Two Sides of the Same Coin, to Grade Recommendations for Drug Approval?
OVN Avatar Adela Rodriguez, Francis Esposito, Helena Oliveres, Ferran Torres and Joan Maurel
Are Quality of Randomized Clinical Trials and ESMO-Magnitude of Clinical Benefit Scale Two Sides of the Same Coin, to Grade Recommendations for Drug Approval?

quality randomized studies, ESMO-MCBS, drug approval

The approval of new cancer drugs by the FDA and EMA is primarily based on positive results from well-designed randomized phase III clinical trials (RCTs). Not all RCTs are analyzed to support drug approval recommendations, highlighting the need for scales to evaluate RCT quality and clinical…

Feb 11th • 3 mins read

Confounding factors in exposure–response analyses and mitigation strategies for monoclonal antibodies in oncology
OVN Avatar Sonoko Kawakatsu, René Bruno, Matts Kågedal, Chunze Li, Sandhya Girish, Amita Joshi, Benjamin Wu
Confounding factors in exposure–response analyses and mitigation strategies for monoclonal antibodies in oncology

monoclonal antibodies, E-R analyses, tumour growth inhibition, drug development

Dose selection and optimization is crucial in drug development to maximize benefits for all patients. Exposure–response (E-R) analysis is useful for dose-selection strategy, but in oncology, prognostic factors can confound the analysis, especially for monoclonal antibodies. The review addr…

Nov 20th • 12 mins read

Real-World Evidence: Bridging Gaps in Evidence to Guide Payer Decisions
OVN Avatar Melissa H. Roberts & Gary T. Ferguson
Real-World Evidence: Bridging Gaps in Evidence to Guide Payer Decisions

Real world evidence, RWE, payer decisions, RWD

Randomized controlled trials (RCTs) are preferred by payers for health technology assessments and coverage decisions, but they may not reflect real-world clinical practice. Real-world evidence (RWE) from observational studies can fill evidence gaps not addressed by RCTs and is valuable for payer …

Jun 18th • 6 mins read

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