Showing 19,221 - 19,240 results of 21,342 for search '(( significantly ((related decrease) OR (greater decrease)) ) OR ( significant decrease decrease ))', query time: 0.50s Refine Results
  1. 19221

    Data Sheet 1_Perceived benefits and barriers to the use of long-acting injectable antiretroviral treatment among adolescents and young people living with HIV in Western Kenya: qual... by Shukri A. Hassan (14245301)

    Published 2025
    “…Introduction<p>Adolescents and young people living with HIV (AYPLHIV) face significant hurdles in adhering to daily oral antiretroviral therapy (ART). …”
  2. 19222

    Table12_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  3. 19223

    OSNet network structure. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  4. 19224

    Data Sheet 2_Perceived benefits and barriers to the use of long-acting injectable antiretroviral treatment among adolescents and young people living with HIV in Western Kenya: qual... by Shukri A. Hassan (14245301)

    Published 2025
    “…Introduction<p>Adolescents and young people living with HIV (AYPLHIV) face significant hurdles in adhering to daily oral antiretroviral therapy (ART). …”
  5. 19225

    Table3_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  6. 19226

    Table9_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  7. 19227

    Image1_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.tif by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  8. 19228

    Table7_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  9. 19229

    DataSheet_1_FCGR2/3 polymorphisms are associated with susceptibility to Kawasaki disease but do not predict intravenous immunoglobulin resistance and coronary artery aneurysms.docx by Paula Uittenbogaard (19691794)

    Published 2024
    “…Treatment with intravenous immunoglobulin (IVIg) significantly decreases the risk of CAA, possibly through competitive binding to Fc-gamma receptors (FcγRs), which reduces the binding of pathological immune complexes. …”
  10. 19230
  11. 19231

    Table6_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

    Published 2024
    “…</p>Conclusions<p>Our bioinformatics combined with MR analysis revealed that CD93, CYBB, DOCK8, IRF1, MBOAT1, MYO1F, NLRP1, NOD2, PIK3R1 increase the risk of PCOS, while PTER decreases the risk of PCOS. This discovery has implications for clinical decision-making in terms of disease diagnosis, prognosis, treatment strategies, and opens up novel avenues for drug development.…”
  12. 19232

    DataSheet1_Effects of mesenchymal stromal cells and human recombinant Nerve Growth Factor delivered by bioengineered human corneal lenticule on an innovative model of diabetic reti... by Letizia Pelusi (9606879)

    Published 2024
    “…In the last years, mesenchymal stromal cells (MSCs) and neurotrophins like Nerve Growth Factor (NGF), have garnered significant attention as innovative therapeutic approaches targeting DR-associated neurodegeneration. …”
  13. 19233
  14. 19234

    Data Sheet 1_Unilateral biportal endoscopic transforaminal lumbar interbody fusion versus minimally invasive transforaminal lumbar interbody fusion for single-level lumbar spondylo... by Yu Zhang (12946)

    Published 2025
    “…Compared with MIS-TLIF, ULIF demonstrated significantly reduced intraoperative blood loss [WMD = −35.71, 95% CI (−51.80, −19.63), p < 0.01], fewer intraoperative fluoroscopy times [WMD = −1.29, 95% CI (−2.56, −0.02), p < 0.05], lower postoperative drainage volume [WMD = −20.64, 95% CI (−37.13, −4.15), p = 0.01], shorter postoperative ambulation time [WMD = −0.30, 95% CI (−0.42, −0.17), p < 0.01], and decreased hospital stay duration [WMD = −1.50, 95% CI (−2.09, −0.90), p < 0.01]. …”
  15. 19235

    YOLOv8 overall framework. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  16. 19236

    The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

    Published 2025
    “…OSA is highly sensitive to information of different scales, and its one-time aggregation property substantially decreases the computational overhead of the model. …”
  17. 19237
  18. 19238

    Table 1_Targeting nail psoriasis: IL-17A inhibitors demonstrate site-specific superiority over IL-23 inhibitor in a 24-week dermoscopy-guided real-world cohort.docx by Xiamei Yan (21014921)

    Published 2025
    “…</p>Results<p>(1) By week 24, PASI, BSA, DLQI and NAPSI scores had significantly decreased from baseline in all groups (P<0.001). (2) By week 24: SEC, IXE, and GUS groups saw nail matrix NAPSI score improvements of 65.9%, 60.5%, and 51.5%, with 68%, 55%, and 30% achieving NAPSI 60; Nail bed NAPSI score improvements were 58.8%, 68.6%, and 65.8%, with 28%, 65%, and 40% achieving NAPSI 60; Total NAPSI score improvements were 62.7%, 64.6%, and 53.7%, with 44%, 70%, and 30% achieving NAPSI 60. (3) All patients in the SEC and IXE groups achieved PASI 75, compared to 85% in the GUS group. …”
  19. 19239
  20. 19240

    Data Sheet 2_Unilateral biportal endoscopic transforaminal lumbar interbody fusion versus minimally invasive transforaminal lumbar interbody fusion for single-level lumbar spondylo... by Yu Zhang (12946)

    Published 2025
    “…Compared with MIS-TLIF, ULIF demonstrated significantly reduced intraoperative blood loss [WMD = −35.71, 95% CI (−51.80, −19.63), p < 0.01], fewer intraoperative fluoroscopy times [WMD = −1.29, 95% CI (−2.56, −0.02), p < 0.05], lower postoperative drainage volume [WMD = −20.64, 95% CI (−37.13, −4.15), p = 0.01], shorter postoperative ambulation time [WMD = −0.30, 95% CI (−0.42, −0.17), p < 0.01], and decreased hospital stay duration [WMD = −1.50, 95% CI (−2.09, −0.90), p < 0.01]. …”