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Results for 'bias'

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

What is the weight of expectation bias in oncology trials?
OVN Avatar Cinzia Dello Russo, Pierluigi Navarra
What is the weight of expectation bias in oncology trials?

trials, bias, oncology, expectation bias

Expectation bias, also known as the Rosenthal effect, can distort experiment results due to the expectations of investigators or patients. Blinding or masking treatments is a classical method to reduce expectation bias in biomedical research. Expectation bias is considered an important conf…

Feb 11th • 3 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

MSL Hiring and Recruitment: 5 Ways to Support Diversity and Inclusion
Partner Avatar Tom Caravela
MSL Hiring and Recruitment: 5 Ways to Support Diversity and Inclusion

Medical Science Liaison hiring, diversity and inclusion recruitment, diverse interview panel, employee referral program, diversity sourcing strategies

While the COVID-19 pandemic wreaked havoc on many industries, Medical Science Liaison hiring was steady throughout 2020 and continues to remain strong in 2021. The one change in hiring that has become evident is the increase in recruitment practices that support diversity and inclusion. While we may…

May 19th • 2 mins read

Positioning Yourself to Become an MSL in 2022
Partner Avatar Bridget Rasmusson
Positioning Yourself to Become an MSL in 2022

MSL role, clinical background, academic background, research background, industry, MSL Society, conference, scientific expert, therapeutic expertise, pharma companies

After attending the MSL Society’s 9th annual conference in Vegas Last week, I have taken some time to reflect on inquiries our team received about how to effectively step into the MSL role from a clinical, academic, or research background. Industry is a tough nut to crack, but it is absolutely…

Dec 21st • 10 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

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

EHA evaluation of the ESMO-Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS v1.1) for hematological malignancies
OVN Avatar Barbara Kiesewetter , Nathan I Cherny, Nicolas Boissel, Francesco Cerisoli, Urania Dafni, Elisabeth G E de Vries, Paolo Ghia, Nicola Gökbuget, Verónica González-Calle, Brian Huntly, Ulrich Jäger, Nicola Jane Latino, Jean-Yves Douillard, Luca Malcovati, Ma
EHA evaluation of the ESMO-Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS v1.1) for hematological malignancies

ESMO, hematological malignancies, Clinical benefit scale, EHA

The ESMO-MCBS v1.1 has not been previously validated for haematological malignancies, but it is being explored to avoid duplication of efforts. A feasibility test was conducted using 80 studies related to various haematological malignancies such as acute and chronic leukaemia, lymphoma, myel…

Jan 20th • 20 mins read

The challenges and opportunities in using real-world data to drive advances in healthcare in East Asia: expert panel recommendations
OVN Avatar Gracy Crane, John C. W. Lim, Churn-Shiouh Gau, Jipan Xie & Laura Chu
The challenges and opportunities in using real-world data to drive advances in healthcare in East Asia: expert panel recommendations

Real-world data, real-world evidenc, East Asia, policy recommendations, decision-making support, East Asia, expert, RWD, RWE

Recommend approaches to improve the use of Real-World Evidence (RWE) in healthcare decision-making in East Asia and beyond. Encourage large-scale collaborations involving diverse stakeholders. Key stakeholders include government agencies, hospitals, research organizations, patient groups, and th…

Jun 28th • 13 mins read

External control arms in oncology: current use and future directions
OVN Avatar P.S. Mishra-Kalyani, L. Amiri Kordestani, D.R. Rivera, H. Singh, A. Ibrahim, R.A. DeClaro, Y. Shen, S. Tang, R. Sridhara, P.G. Kluetz, J. Concato, R. Pazdur, J.A. Beaver
External control arms in oncology: current use and future directions

external controls, real-word data, Food and Drug Administration, FDA, external control arm

Considerations for using external controls in oncology clinical trials are complex and depend on their intended use. There is a review of recent research and marketing applications that describe the current usage of external control data in oncology. Incorporating external controls for prima…

Jan 9th • 9 mins read

FDA Oncology Center of Excellence Project Renewal: Engaging the Oncology Community to Update Product Labeling for Older Oncology Drugs
OVN Avatar Paul G. Kluetz, Patricia Keegan, George D. Demetri, Katherine Thornton, Joohee Sul, Janice Kim, Harvey Katzen, Laurie Beth Burke, R. Donald Harvey, Elleni Alebachew, Sundeep Agrawal, Abhilasha Nair, Martha Donoghue
FDA Oncology Center of Excellence Project Renewal: Engaging the Oncology Community to Update Product Labeling for Older Oncology Drugs

FDA labeling format, PLR format, oncology drugs, FDA

The FDA conducts independent reviews of scientific data to ensure the safety and efficacy of investigational drug products. FDA-approved product labeling is a highly trusted source of information for approved drug use. FDA approval is only the beginning of a drug's lifecycle, with ongoing c…

Feb 15th • 13 mins read

Clinical Trial Evidence Supporting US Food and Drug Administration Approval of Novel Cancer Therapies Between 2000 and 2016
OVN Avatar Aviv Ladanie, PhD, Andreas M. Schmitt, MD, Benjamin Speich, PhD, Florian Naudet, PhD, Arnav Agarwal, MD, Tiago V. Pereira, PhD, Francesco Sclafani, PhD, Amanda K. Herbrand, MD, Matthias Briel, MD, MSc, Juan Martin-Liberal, PhD, Thomas Schmid, MD, Hannah E
Clinical Trial Evidence Supporting US Food and Drug Administration Approval of Novel Cancer Therapies Between 2000 and 2016

cancer treatment outcomes, outcomes, drug approval, clinical data, FDA

Data from 17 years of studies on novel cancer drugs show limited information available at market entry. Randomized Controlled Trials (RCTs) data are available for only half of the drug indications. Lack of data is particularly problematic for patients with hematological cancers. Novel therapies…

Nov 10th • 6 mins read

The Case for Real-world Evidence in the Future of Clinical Research on Chronic Myeloid Leukemia
OVN Avatar Jonathon Webster, MD and B. Douglas Smith, MD
The Case for Real-world Evidence in the Future of Clinical Research on Chronic Myeloid Leukemia

Real world data, FDA, RCT, RWE, RWD

In light of recently published guidelines from the US Food and Drug Administration (FDA) on the communication of real-world data (RWD) and real-world evidence (RWE) to support regulatory decision making, it is important to understand the following key points and concepts: Development of RWD and R…

Jan 29th • 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

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