Showing 1,521 - 1,540 results of 2,767 for search '(( significant decrease decrease ) OR ( significance ((mean decrease) OR (a decrease)) ))~', query time: 0.32s Refine Results
  1. 1521

    Data Sheet 1_Age-related white matter alterations in children with neurofibromatosis type 1: a diffusion MRI tractography study.pdf by Lisa Bruckert (6680384)

    Published 2025
    “…Compared to controls, children with NF1 had significantly increased MD and significantly decreased FA in multiple white matter pathways including the anterior thalamic radiation, cingulate, uncinate fasciculus, inferior fronto-occipital fasciculus, arcuate fasciculus, and corticospinal tract. …”
  2. 1522

    Identification of VHL as a novel E3 ubiquitin ligase for Vpx. by Kei Miyakawa (255697)

    Published 2025
    “…Data are presented as mean ± standard deviation (SD) (n = 2). Statistical significance was evaluated using a two-tailed unpaired <i>t</i>-test. …”
  3. 1523

    Table 1_Elevated mean arterial pressure and risk of impaired fasting glucose: a multicenter cohort study revealing age and sex interactions.docx by Yuye Lin (20084283)

    Published 2025
    “…After multivariate adjustment, a significant positive association was observed between MAP and IFG risk (Hazard Ratio: 1.14, 95% Confidence Interval: 1.12–1.16, P < 0.001). …”
  4. 1524

    The funnel plot of mortality rate. by Lei Wang (6656)

    Published 2025
    “…Furthermore, one week or more following surgery, administration of high-dose intravenous iron resulted in a significant increase in postoperative hemoglobin levels (mean difference 0.71, 95% CI 0.41 to 1.01, P < 0.00001, n = 907, I<sup>2</sup> = 63%, certainty of evidence: moderate). …”
  5. 1525

    General Characteristics of the Included Studies. by Lei Wang (6656)

    Published 2025
    “…Furthermore, one week or more following surgery, administration of high-dose intravenous iron resulted in a significant increase in postoperative hemoglobin levels (mean difference 0.71, 95% CI 0.41 to 1.01, P < 0.00001, n = 907, I<sup>2</sup> = 63%, certainty of evidence: moderate). …”
  6. 1526

    This is the data correction file. by Pitchaporn Sonuch (11785736)

    Published 2024
    “…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”
  7. 1527

    Flow diagram of participants. by Pitchaporn Sonuch (11785736)

    Published 2024
    “…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”
  8. 1528

    Demographic and baseline characteristics. by Pitchaporn Sonuch (11785736)

    Published 2024
    “…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”
  9. 1529

    The change of urine sodium excretion (Una). by Pitchaporn Sonuch (11785736)

    Published 2024
    “…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”
  10. 1530

    The change of blood pressure. by Pitchaporn Sonuch (11785736)

    Published 2024
    “…</p><p>Conclusions</p><p>The combined intervention significantly decreased systolic blood pressure and showed a trend towards reduced urine sodium excretion in hypertensive patients. …”
  11. 1531

    Effect of fasudil on clinical outcomes of pulmonary hypertension: a systematic review and meta-analysis by Wanying Bao (19665769)

    Published 2024
    “…</p> <p>We conducted a systematic search in several databases. Meta-analysis using odds ratio and mean difference was performed, with an assessment of studies’ quality and pooled evidences.…”
  12. 1532

    Demographic and ocular features. by Mingxi Shao (10066570)

    Published 2025
    “…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H<sub>2</sub>O<sub>2</sub> with mean deviation values for the visual field (r = −0.412, p = 0.041). …”
  13. 1533

    Machine learning model to diagnose PCG. by Mingxi Shao (10066570)

    Published 2025
    “…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H<sub>2</sub>O<sub>2</sub> with mean deviation values for the visual field (r = −0.412, p = 0.041). …”
  14. 1534

    ROC curves of TAS + SOD + MDA to diagnose PCG. by Mingxi Shao (10066570)

    Published 2025
    “…Pearson analysis revealed significant negative correlations: SOD with anterior chamber depth (r = −0.445, p = 0.012) and H<sub>2</sub>O<sub>2</sub> with mean deviation values for the visual field (r = −0.412, p = 0.041). …”
  15. 1535
  16. 1536

    Characteristics of included studies. by Rong Pi (21743379)

    Published 2025
    “…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
  17. 1537

    Sensitivity analysis for acute fatigue subscale. by Rong Pi (21743379)

    Published 2025
    “…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
  18. 1538

    Factors related to nurses’ occupational fatigue. by Rong Pi (21743379)

    Published 2025
    “…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
  19. 1539

    Sensitivity analysis for inter-shift subscale. by Rong Pi (21743379)

    Published 2025
    “…Studies have consistently linked occupational fatigue to decreased productivity, heightened error rates, and compromised decision-making abilities, posing significant risks to both individual nurses and healthcare organizations. …”
  20. 1540