Showing 21 - 40 results of 65,601 for search '(( 10 ng decrease ) OR ( 5 ((((non decrease) OR (fold decrease))) OR (a decrease)) ))', query time: 1.07s Refine Results
  1. 21
  2. 22
  3. 23
  4. 24
  5. 25
  6. 26
  7. 27
  8. 28
  9. 29

    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).…”
  10. 30

    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).…”
  11. 31

    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).…”
  12. 32
  13. 33
  14. 34
  15. 35

    SPRY4 transcript decreases for IDCs compared to normal tissue in the TCGA Breast dataset. by Ethan J. Brock (10892372)

    Published 2021
    “…<p>Data mining of the TCGA Breast dataset revealed a 1.53-fold decrease in SPRY4 mRNA expression in IDCs (n = 389) compared to non-cancerous breast tissue (n = 61). …”
  16. 36
  17. 37
  18. 38
  19. 39
  20. 40