Search alternatives:
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
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a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
greater decrease » greatest decrease (Expand Search), greater increase (Expand Search), greater disease (Expand Search)
clinical case » clinical cases (Expand Search), clinical care (Expand Search), clinical course (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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Table 1_Non-chemotherapy drugs inducing agranulocytosis: a disproportionality analysis based on the FAERS database.xlsx
Published 2025“…Positive signals were defined as cases with at least three reports and a lower 95% confidence interval (CI) of ROR greater than one. …”
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Image 1_Non-chemotherapy drugs inducing agranulocytosis: a disproportionality analysis based on the FAERS database.pdf
Published 2025“…Positive signals were defined as cases with at least three reports and a lower 95% confidence interval (CI) of ROR greater than one. …”
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Table 1_Impact of co-infections and immune responses on clinical severity of human adenovirus 3 and 7 infections in hospitalized children with lower respiratory tract infections: a...
Published 2025“…</p>Conclusions<p>Hospitalized children with HAdV-7-associated LRTIs exhibit greater severity, multiple infections, and significant potential for greater cellular immune dysregulation compared to those with HAdV-3 infection, indicating a more severe clinical course and distinct pathogenic profiles.…”
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Matched data.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Nomogram model.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Flowchart of Study Design and Analysis.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Multivariate Binary Logistic Regression Analysis.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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ROC curve.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Unmatched data.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Calibration curve.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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Decision curves.
Published 2025“…<div><p>Objective</p><p>This study aims to explore factors influencing false-negative results in Interferon-Gamma Release Assay (IGRA) for patients with Pulmonary Tuberculosis (PTB), and develop a nomogram model to predict IGRA false negatives, thereby optimizing clinical diagnosis and treatment decisions.…”
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DataSheet1_Characteristics of adverse reactions of three anti-glioma drugs in WHO-VigiAccess.ZIP
Published 2024“…Furthermore, Berubicin exhibited a particularly high proportion of blood and lymphatic system disease AEs, reaching 45.6%, which was significantly greater than those observed for the other two drugs.…”
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Table1_Clinical efficacy of Fufang Yinhua Jiedu (FFYH) granules in mild COVID-19 and its anti-SARS-CoV-2 mechanism by blocking autophagy through inhibiting the AKT/mTOR signaling p...
Published 2024“…No patients progressed to severe or critical cases.</p>Conclusion<p>Our results indicate that FFYH not only has good anti-viral activity against SARS-CoV-2 but also has significant efficacy against COVID-19, indicating that FFYH may be a novel complementary option for treating COVID-19.…”
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Table2_Clinical efficacy of Fufang Yinhua Jiedu (FFYH) granules in mild COVID-19 and its anti-SARS-CoV-2 mechanism by blocking autophagy through inhibiting the AKT/mTOR signaling p...
Published 2024“…No patients progressed to severe or critical cases.</p>Conclusion<p>Our results indicate that FFYH not only has good anti-viral activity against SARS-CoV-2 but also has significant efficacy against COVID-19, indicating that FFYH may be a novel complementary option for treating COVID-19.…”
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