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values decrease » values increased (Expand Search), largest decrease (Expand Search)
marked decrease » marked increase (Expand Search)
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Table 1_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.docx
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Image 1_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.tif
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Table 2_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.docx
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Table 3_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.docx
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Table 5_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.docx
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Table 4_The impact of decreased prognostic nutritional index on the prognosis of patients with pneumonia treated with glucocorticoids: a multicenter retrospective cohort study.docx
Published 2025“…Multivariable Cox regression showed that, after full adjustment for potential confounders, every 2-unit decrease in PNI was associated with a 10% higher 30-day mortality hazard (HR = 1.10, 95% CI = 1.05–1.15, p < 0.001) and a 9% higher 90-day mortality hazard (HR = 1.09, 95% CI = 1.04–1.14, p < 0.001). …”
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Linear covariate analysis of prognostically significant metabolites. Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05....
Published 2025“…Presenting the effect sizes of metabolites that showed significant differences among prognostic groups in ICU-treated COVID-19 patients. Metabolites were included based on an F-value > 2.5 and a p-value < 0.05. …”
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Validation of genetic markers for risk of OA or knee OA for decrease in minJSW.
Published 2025“…<p><b>(A)</b> Manhattan plot of minJSW decrease at 24 months. The Manhattan plots show the -log10(P) values of all ~ 1,5 million SNPs against their position. …”
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Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…</p>Results<p>In total, 15 types of decreased autoantibodies were identified, and 6 of them were constructed into a predictive model for early lung cancer, reaching a sensitivity of 76.19% and a specificity of 55.74%. …”