When do we need clinical endpoint adjudication in clinical trials? [PDF]
Upsala Journal of Medical Sciences, 2019 Clinical endpoint adjudication (CEA) is a standardized process for assessment of safety and efficacy of pharmacologic or device therapies in clinical trials.
Claes Held
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Multi-omics integration for neuroblastoma clinical endpoint prediction [PDF]
Biology Direct, 2018 Background High-throughput methodologies such as microarrays and next-generation sequencing are routinely used in cancer research, generating complex data at different omics layers.
Margherita Francescatto +5 more
doaj +3 more sources
Suicidal thinking as a valuable clinical endpoint [PDF]
EClinicalMedicine, 2020 Evan M. Kleiman
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Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction [PDF]
AAAI Conference on Artificial Intelligence, 2018 The availability of a large amount of electronic health records (EHR) provides huge opportunities to improve health care service by mining these data. One important application is clinical endpoint prediction, which aims to predict whether a disease, a ...
Liu, Luchen +4 more
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Leveraging hybrid biomarkers in clinical endpoint prediction [PDF]
BMC Medical Informatics and Decision Making, 2020 Background Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 and 80%.
Maliazurina Saad, Ik Hyun Lee
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Early Clinical Response in Community-acquired Bacterial Pneumonia: From Clinical Endpoint to Clinical Practice. [PDF]
Clin Infect Dis, 2019 Background Early clinical response (ECR) is a new endpoint to determine whether a drug should be approved for community-acquired bacterial pneumonia in the United States.
Ramirez JA +7 more
europepmc +2 more sources
Comparison of RNA-seq and microarray-based models for clinical endpoint prediction. [PDF]
Genome Biol, 2015 Gene expression profiling is being widely applied in cancer research to identify biomarkers for clinical endpoint prediction. Since RNA-seq provides a powerful tool for transcriptome-based applications beyond the limitations of microarrays, we sought to ...
Zhang W +75 more
europepmc +2 more sources
Clinical endpoints in pragmatic heart failure trials: From data collection to clinical endpoint classification [PDF]
ESC Heart FailureClinical endpoint classification (CEC)—that is, evaluation of clinical events using pre‐defined criteria—is commonly conducted in clinical trial operations to ensure systematic and consistent assessment of endpoints needed to assess the intervention's ...
Veraprapas Kittipibul +13 more
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A Bayesian prediction model between a biomarker and the clinical endpoint for dichotomous variables. [PDF]
Trials, 2014 BackgroundEarly biomarkers are helpful for predicting clinical endpoints and for evaluating efficacy in clinical trials even if the biomarker cannot replace clinical outcome as a surrogate.
Jiang Z, Song Y, Shou Q, Xia J, Wang W.
europepmc +2 more sources
Updating clinical endpoint definitions. [PDF]
Pulm Circ, 2013 The 6-Minute Walk Distance (6-MWD) has been the most utilized endpoint for judging the efficacy of pulmonary arterial hypertension (PAH) therapy in clinical trials conducted over the past two decades.
Hassoun PM +11 more
europepmc +2 more sources