Showing 1,541 - 1,560 results of 101,509 for search '(( 5 ((((mean decrease) OR (nn decrease))) OR (a decrease)) ) OR ( 5 points decrease ))', query time: 1.85s Refine Results
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  3. 1543

    List of Included studies. by Zahra Tajik (20752452)

    Published 2025
    “…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”
  4. 1544

    The search strategy in three databases. by Zahra Tajik (20752452)

    Published 2025
    “…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”
  5. 1545

    NIH score. by Zahra Tajik (20752452)

    Published 2025
    “…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”
  6. 1546

    List of excluded studies. by Zahra Tajik (20752452)

    Published 2025
    “…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”
  7. 1547
  8. 1548

    Nilotinib decreases HEI-193 cell viability in a time-, dose-, and growth condition- dependent manner. by Nesrin Sabha (127278)

    Published 2013
    “…(B) HEI-193 grown in PDGF media were treated with 0, 3, 5, 10 or 20 µM nilotinib up to 5 days. Trypan blue viability assay shows decreased number of viable cells at 5 days in 3 µM nilotinib, compared to vehicle shown, mean and SD of six technical replicates. …”
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  12. 1552

    Decreased dermal and corneal stromal collagen in <i>Slc39a13</i>-KO mice. by Toshiyuki Fukada (156297)

    Published 2008
    “…Data represent mean±S.D. F. Collagen of corneal stroma is decreased in <i>Slc39a13</i>-KO mice. …”
  13. 1553
  14. 1554

    Combination metabolic therapy decreases VM-M3 cell proliferation <i>in vitro</i>. by A. M. Poff (752552)

    Published 2015
    “…<b>(B)</b> Combining low glucose, ketone supplementation, and HBOT resulted in a marked decrease in cell proliferation which was significant from control at all time points tested. …”
  15. 1555

    Blocking TNF or IL-6 decreases HIV-1 replication significantly in a dose dependent manner. by Shahin Ranjbar (66979)

    Published 2013
    “…Blocking TNF (at 2 ug/ml or 5 ug/ml) or IL-6 (5 ug/ml) significantly decreased virus replication (*, p<0.05) as compared to the same concentrations of an IgG<sub>1</sub> control antibody. …”
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  20. 1560

    Selection of crossing point. by Yanchun Li (248761)

    Published 2025
    “…The simulation results indicate that the improved genetic algorithm reduced the supply load from 0.678 to 0.535, labor costs from 1832 yuan to 1790 yuan, and operational time by approximately 39.5%, from 48 seconds to 29.5 seconds. Additionally, the variation in node utilization rates significantly decreased from 30.1% to 12.25%, markedly enhancing resource scheduling efficiency and overall balance within the supply chain.…”