Showing 441 - 460 results of 68,679 for search '(( 50 ((we decrease) OR (mean decrease)) ) OR ( 5 ((fold decrease) OR (a decrease)) ))', query time: 1.04s Refine Results
  1. 441
  2. 442
  3. 443
  4. 444
  5. 445
  6. 446
  7. 447
  8. 448
  9. 449
  10. 450
  11. 451
  12. 452
  13. 453
  14. 454
  15. 455
  16. 456
  17. 457
  18. 458

    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).…”
  19. 459

    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).…”
  20. 460

    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).…”