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Methodological challenges using routine clinical care data for real-world evidence: a rapid review utilizing a systematic literature search and focus group discussion.
BMC Med Res Methodol
January 2025
Freiburg Center for Data Analysis, Modeling and AI, University of Freiburg, Freiburg, Germany.
Background: The integration of real-world evidence (RWE) from real-world data (RWD) in clinical research is crucial for bridging the gap between clinical trial results and real-world outcomes. Analyzing routinely collected data to generate clinical evidence faces methodological concerns like confounding and bias, similar to prospectively documented observational studies. This study focuses on additional limitations frequently reported in the literature, providing an overview of the challenges and biases inherent to analyzing routine clinical care data, including health claims data (hereafter: routine data).
View Article and Find Full Text PDFGenomic strategies to facilitate breeding for increased β-Glucan content in oat (Avena sativa L.).
BMC Genomics
January 2025
Department of Agronomy, Horticulture, and Plant Science, South Dakota State University (SDSU), Brookings, SD, 57007, USA.
Background: Hexaploid oat (Avena sativa L.) is a commercially important cereal crop due to its soluble dietary fiber β-glucan, a hemicellulose known to prevent cardio-vascular diseases. To maximize health benefits associated with the consumption of oat-based food products, breeding efforts have aimed at increasing the β-glucan content in oat groats.
View Article and Find Full Text PDFOptimizing the NGS-based discrimination of multiple lung cancers from the perspective of evolution.
NPJ Precis Oncol
January 2025
Department of Thoracic Surgery, Peking University People's Hospital, Beijing, 100044, China.
Next-generation sequencing (NGS) offers a promising approach for differentiating multiple primary lung cancers (MPLC) from intrapulmonary metastasis (IPM), though panel selection and clonal interpretation remain challenging. Whole-exome sequencing (WES) data from 80 lung cancer samples were utilized to simulate MPLC and IPM, with various sequenced panels constructed through gene subsampling. Two clonal interpretation approaches primarily applied in clinical practice, MoleA (based on shared mutation comparison) and MoleB (based on probability calculation), were subsequently evaluated.
View Article and Find Full Text PDFIoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks.
Sci Rep
January 2025
Department of Computer Science, Kebri Dehar University, 250, Kebri Dehar, Ethiopia.
The Internet of Things (IoT)-based smart solutions have been developed to predict water quality and they are becoming an increasingly important means of providing efficient solutions through communication technologies. IoT systems are used for enabling connection between various devices based on the ability to gather and collect information. Furthermore, IoT systems are designed to address the environment and the automation industry.
View Article and Find Full Text PDFCost-utility analysis of combination medical therapies in chronic coronary syndrome: a comparative study using real-world and patient-level data from Iran.
BMJ Open
January 2025
Pharmaceutical Sciences Research Center, Kermanshah University of Medical Sciences, Kermanshah, Iran (the Islamic Republic of).
Objectives: The main objective was to evaluate the cost-effectiveness of various medical therapy combinations in managing chronic coronary syndrome (CCS) in Iran, based on real-world and patient-level data.
Design: A cost-utility analysis employing a Markov model was conducted using data from a retrospective cohort study.
Setting: The study was conducted in the healthcare setting of Iran, focusing on primary and secondary care.
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