Showing 1 - 20 results of 3,860 for search '(( a largest decrease ) OR ((( six ((teer decrease) OR (a decrease)) ) OR ( a marker decrease ))))', query time: 0.53s Refine Results
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    A summary of the included study characteristics. by Zahra Tajik (20752452)

    Published 2025
    “…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. 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. …”
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    Effects of CGA on renal biochemical markers. by Liping Bao (2936715)

    Published 2025
    “…<div><p>Diabetic nephropathy (DN) is the single largest cause of end-stage renal disease (ESRD). Inflammation reaction mediated by NLRP3 inflammasome and Nrf2-related oxidative stress have been considered to play a very important role in the progress of diabetic nephropathy (DN). …”
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    List of Included studies. by Zahra Tajik (20752452)

    Published 2025
    “…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. 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. …”
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    The search strategy in three databases. by Zahra Tajik (20752452)

    Published 2025
    “…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. 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. 7

    NIH score. by Zahra Tajik (20752452)

    Published 2025
    “…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. 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. …”
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    List of excluded studies. by Zahra Tajik (20752452)

    Published 2025
    “…The results show that one month after the NSPT, there was no significant difference in the mean visfatin level of GCF (SMD: -3.91, 95%CI: -9.83, 2.01, p = 0.195, I-square, 96.6%, random effect model, n = 2) and serum (SMD: -0.33, 95%CI: -0.98, 0.33, p = 0.332, fixed effect model, n = 1), but 2, 3 and 6 months after NSPT, the mean visfatin level of GCF and serum decreased significantly. 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. …”
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    Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast. by Jad Doughman (20636304)

    Published 2025
    “…<p>Relationship between the Gender Representation Disparity Index (GRDI) and average explicit sex markers in film criticism, illustrating a decrease in markers as the GRDI moves toward a female-dominated cast.…”
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    Inhibition of NEAT1 decreased the miR-204-5p expression and increased Six1 expression. by Lei Li (29537)

    Published 2024
    “…<p>(A) NEAT1 expression following siRNA transfection in BEAS-2B cells; (B-D) The expression of NEAT1, miR-204-5p, and Six1 after decreasing NEAT1 expression. * p <0.05, *** p < 0.001, and **** p <0.0001.…”
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    Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif by Ying Ye (72583)

    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%. …”