Showing 341 - 360 results of 119,660 for search '(( 5 ((a decrease) OR (mean decrease)) ) OR ( a ((non decrease) OR (fold decrease)) ))', query time: 1.53s Refine Results
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    Mean decrease in accuracy (MDA) of top 15 urine metabolites. by Liam E. Broughton-Neiswanger (8447220)

    Published 2020
    “…Urine metabolites with a mean decrease in accuracy ≥ 0.004 in at least one post-treatment time point (2–5) were considered for inclusion in the predictive model.…”
  8. 348

    Image_2_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

    Published 2019
    “…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”
  9. 349

    Image_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.JPEG by Meijuan Liu (4924417)

    Published 2019
    “…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”
  10. 350

    Table_1_Serum Zinc-α2-Glycoprotein Levels Were Decreased in Patients With Premature Coronary Artery Disease.DOCX by Meijuan Liu (4924417)

    Published 2019
    “…At the cutoff value of 7.955 μg/mL serum ZAG, the sensitivity and specificity for differentiating patients with PCAD from controls were 50.5 and 78.0%, respectively. The combination of ZAG with other clinical variables including age, gender, BMI, SBP, FBG, TC, HDL-C, Cr, and Urea had significantly improved the diagnosis accuracy with a sensitivity of 82.6%, a specificity of 95.0%, and AUC of 0.957 (95% CI, 0.940–0.975, p < 0.05).…”
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