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| http://dx.doi.org/10.1111/bph.14443 | DOI Listing |
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Research Paradigm of the International Classification of Functioning, Disability and Health (ICF) With Item Response Theory: Clarification, Classification, and Challenge.
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Center of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Background: The International Classification of Functioning, Disability and Health (ICF) is the worldwide terminology system for measuring health and disability at both individual and population levels. However, the underlying challenges remain in achieving widespread adoption and implementation of ICF within healthcare contexts, including the unequal interval scale of the ICF Likert-type qualifier system ranging from 0 to 4, a lack of consensus on conceptualization and grading criteria of ICF items, and an excessive number of ICF items associated with each disease. The utilization of item response theory (IRT) for ICF studies demonstrated potential benefits in addressing these issues.
View Article and Find Full Text PDFComparison of the combined toxicity of PFOA and emerging alternatives: A comprehensive evaluation of oxidative damage, apoptosis and immunotoxicity in embryonic and adult zebrafish.
Water Res
December 2024
College of Resources and Environment, Shandong Agricultural University, Key Laboratory of Agricultural Environment in Universities of Shandong, 61 Daizong Road, Taian, 271018, China. Electronic address:
Perfluorohexanoic acid (PFHxA) and perfluorobutanoic acid (PFBA) are widely used substitutes to perfluorooctanoic acid (PFOA). Whether these substitutes are less toxic than PFOA remains unclear owing to differences in the experimental methods, test organisms, and other experimental conditions in previous studies. The present study selected 0.
View Article and Find Full Text PDFOverexpression of gene increases the rice resistance to pv. through negatively regulating transcription activator-like effectors translocation.
Plant Signal Behav
December 2025
Institute of Integrative Plant Biology, School of Life Sciences, Jiangsu Normal University, Xuzhou, China.
Bacterial leaf blight (BLB) caused by pv. () has shown a high incidence rate in rice fields in recent years. Rice resistance breeding is considered as the most effective method for achieving economical and sustainable management of BLB disease.
View Article and Find Full Text PDF[From yesterday's lessons to tomorrow's actions: COVID-19 and contact tracing in Italy].
Epidemiol Prev
December 2024
Associazione Italiana di Epidemiologia.
The Italian Association of Epidemiology's experience during the COVID-19 pandemic and its collaboration on a national project focused on contact tracing have prompted significant insights essential for the management of future pandemics in Italy and the development of new pandemic plans. In particular, the Italian Association of Epidemiology highlighted the need to collect, analyse and interpret data, and produce indicators of effectiveness and efficiency in a consistent manner across the country to support the governance of the pandemic response. During the COVID-19 pandemic in Italy, this capacity was severely hampered by structural and regulatory factors and the limited availability of specific expertise.
View Article and Find Full Text PDFA generalized logrank-type test for comparison of treatment regimes in sequential multiple assignment randomized trials.
Biometrics
October 2024
Department of Statistics, North Carolina State University, Raleigh, NC 27695-8203, United States.
Article Synopsis
- The SMART design is a robust way to evaluate treatment strategies that change based on patient characteristics at various decision points, especially for chronic diseases.
- A key focus is comparing different treatment regimes based on the time it takes for a significant event to occur, using statistical methods like the logrank-type test to analyze survival distributions.
- This study introduces a flexible statistical framework that enhances existing methods, is validated through simulations, and is applied to real-world data from patients with acute promyelocytic leukemia.
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