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From real world data to real world evidence to improve outcomes in neuro-ophthalmology
Real-world data (RWD) can be defined as all data generated during routine clinical care. This includes electronic health records, disease-specific...
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From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights
Graph data models are an emerging approach to structure clinical and biomedical information. These models offer intriguing opportunities for novel...
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Datenschutzgerechte Wege zur Nutzung von Real World Data
BackgroundThe secondary use of existing real world data is seen as a promising method of medical research that complements the conduct of closely...
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Real-World Data on Therapies for Relapsed or Refractory Multiple Myeloma: Key Data from ASH 2023—A Podcast
Immunotherapies have significantly improved outcomes in patients with multiple myeloma yet maintaining a durable response in heavily pretreated...
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A step-by-step guide to causal study design using real-world data
Due to the need for generalizable and rapidly delivered evidence to inform healthcare decision-making, real-world data have grown increasingly...
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Development and validation of thromboembolism diagnostic algorithms in children with cancer from real-world data
ObjectiveTo evaluate the accuracy of diagnostic algorithms developed using the International Classification of Diseases (ICD-9-CM and ICD-10-CA)...
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Real World Evidence: methodological issues and opportunities from the European Health Data Space
The current Evidence-Based-Medicine (EBM) approach is generally based on data coming from Randomized Clinical Trials or and, epidemiological...
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The S-REAL study: Spanish real-world data on unresectable stage III NSCLC patients treated with durvalumab after chemoradiotherapy
ObjectivesThe S-REAL study aimed to assess the effectiveness of durvalumab as consolidation therapy after definitive chemoradiotherapy (CRT) in a...
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ATRAcTR (Authentic Transparent Relevant Accurate Track-Record): a screening tool to assess the potential for real-world data sources to support creation of credible real-world evidence for regulatory decision-making
Adoption and use of real-world data (RWD) for decision-making has been complicated by concerns regarding whether RWD was fit-for-purpose or was of...
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Observing the Clinical Course of Duchenne Muscular Dystrophy in Medicaid Real-World Healthcare Data
IntroductionDuchenne muscular dystrophy (DMD) is a rare, severe progressive neuromuscular disease. Health insurance claims allow characterization of...
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Andexanet Alfa: What We Have Learned from Clinical Trials and Real-World Data
Andexanet alfa is a specific reversal agent for factor Xa inhibitors with immediate reversal of their anticoagulant effect. Andexanet alfa is...
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A practical guide to estimating treatment effects in patients with rheumatic diseases using real-world data
ObjectiveRandomized controlled trials are considered the gold standard in study methodology. However, due to their study design and inclusion...
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Verknüpfung von randomisierten kontrollierten Studien und Real World Data
BackgroundRandomized controlled trials (RCTs) are the gold standard for evaluating interventions. However, they are often considered to be difficult...
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UroPredict: Machine learning model on real-world data for prediction of kidney cancer recurrence (UroCCR-120)
Renal cell carcinoma (RCC) is most often diagnosed at a localized stage, where surgery is the standard of care. Existing prognostic scores provide...
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Using Real-World Data to Inform Value-Based Contracts for Cell and Gene Therapies in Medicaid
ObjectiveHigh upfront costs and long-term benefit uncertainties of gene therapies challenge Medicaid budgets, making value-based contracts a...
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Real-world data: a brief review of the methods, applications, challenges and opportunities
BackgroundThe increased adoption of the internet, social media, wearable devices, e-health services, and other technology-driven services in medicine...
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Real-world data of atezolizumab in patients with previously treated locally advanced or metastatic urothelial bladder cancer
BackgroundClinical trials of atezolizumab for locally advanced or metastatic urothelial bladder cancer (mUBC) report controversial efficacy data....
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Personalized venlafaxine dose prediction using artificial intelligence technology: a retrospective analysis based on real-world data
BackgroundVenlafaxine dose regimens vary considerably between individuals, requiring personalized dosing.
AimThis study aimed to identify...
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Diabetes Therapy Podcast: Real-World Data for Glucose Sensing Technologies in Type 1 Diabetes
For people living with type 1 diabetes (T1D), home glucose monitoring has evolved from occasional qualitative urine tests to frequently sampled...
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Von Real-World-Daten zur Real-World-Evidenz: eine praktische Anleitung
BackgroundReal-world evidence (RWE), the understanding of treatment effectiveness in clinical practice generated from longitudinal patient-level data...
