بدائل البحث:
significant factors » significant predictors (توسيع البحث)
largest decrease » largest decreases (توسيع البحث), marked decrease (توسيع البحث)
factors included » factors including (توسيع البحث), factors involved (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
significant factors » significant predictors (توسيع البحث)
largest decrease » largest decreases (توسيع البحث), marked decrease (توسيع البحث)
factors included » factors including (توسيع البحث), factors involved (توسيع البحث)
larger decrease » marked decrease (توسيع البحث)
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Characteristics of all included studies.
منشور في 2024"…The meta-analysis and systematic review showed that mMRC (OR = 2.02, P = 0.04) and age (OR = 1.15, P = 0.004) were significant risk factors for sarcopenia in COPD patients. …"
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Characteristics of the included studies.
منشور في 2024"…Importantly, the identified risk factors are mostly modifiable and preventable, highlighting the need for context-driven health policies, clinical guidelines, and treatments targeting these factors.…"
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Included articles.
منشور في 2024"…In total, 80 articles were included. Findings were the following: (1) Three categories of prosocial paradigm were extracted: cooperation, helping, and sharing tasks, (2) Rodents showed the ability to perform prosocial actions in all three categories, (3) Significant gaps in reported methodologies (e.g., failure to report animals’ characteristics, housing conditions, and/or experimental protocol) and mediating factors (e.g., sex, strain, housing, food restriction) were found, and (4) Behaviors are determinant when investigating prosociality in rodents, however many studies omitted to include such analyses. …"
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ROC curve and cut-off scores for the significant risk factors of severe cognitive impairment.
منشور في 2024الموضوعات: -
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Correlation heatmap with significance.
منشور في 2025"…</p><p>Results</p><p>The health status of China’s migrant population is generally positive, though it is influenced by multiple factors, with varying degrees of significance. Among six distinct machine learning models, the Random Forest model demonstrated the best predictive performance. …"