Search alternatives:
largest decrease » marked decrease (Expand Search)
values decrease » values increased (Expand Search)
larger decrease » marked decrease (Expand Search)
linear decrease » linear increase (Expand Search)
Showing 6,261 - 6,280 results of 6,698 for search '(( i ((values decrease) OR (largest decrease)) ) OR ( a ((larger decrease) OR (linear decrease)) ))', query time: 0.43s Refine Results
  1. 6261

    Image 4_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

    Published 2025
    “…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”
  2. 6262

    Image 5_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

    Published 2025
    “…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”
  3. 6263

    Image 6_Systemic immune inflammatory index and mortality in chronic kidney disease.tif by Yanshuang Ma (22176478)

    Published 2025
    “…The evaluation of threshold impacts identified important levels starting at 6.06 and 6.25, which corresponded to the lowest observed mortality risk when evaluated through the SII.log values. The likelihood of mortality from all causes escalated once these limits were surpassed (HR 0.75, 95% CI 0.64-0.88; HR 1.74, 95% CI 1.55-1.95). …”
  4. 6264

    Octβ2R and cAMP underlie the Brp compartmental heterogeneity. by Hongyang Wu (8856740)

    Published 2025
    “…Pseudo color range: −1.2 to 1.2. Mann–Whitney <i>U</i>-test. Ctrl (<i>n</i> = 10 brains) vs. …”
  5. 6265

    Table 2_Genomic characterization and antibiotic susceptibility of biofilm-forming Borrelia afzelii and Borrelia garinii from patients with erythema migrans.pdf by Giorgia Fabrizio (19022288)

    Published 2025
    “…Core genome analysis showed 38.9% of genes were shared between B. afzelii and B. garinii, decreasing to 26.1% with B. burgdorferi. The cloud genome expanded from 34.4% to 53.4% with the addition of B. burgdorferi. …”
  6. 6266

    Image 8_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  7. 6267

    Image 7_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  8. 6268

    Data Sheet 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.zip by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  9. 6269

    Image 4_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  10. 6270

    Image 3_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  11. 6271

    Image 2_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  12. 6272

    Image 5_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  13. 6273

    Image 6_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tif by Minyong Choi (22465405)

    Published 2025
    “…A systematic review and meta-analysis were conducted to identify the prognostic value of posttreatment PBIMs and their dynamic changes from baseline in gynecologic cancers. …”
  14. 6274

    Supplementary file 1_The effect of development on cortical auditory evoked potentials in normal hearing listeners and cochlear implant users.docx by Eun Kyung Jeon (2032222)

    Published 2025
    “…Developmental effects were analyzed using linear regression, t-tests, and correlation analyses comparing child and adult waveforms.…”
  15. 6275

    Data Sheet 1_The epidemiology of pediatric oncology and hematopoietic cell transplant admissions to U.S. intensive care units from 2001-2019.pdf by Kyle B. Lenz (20373651)

    Published 2024
    “…<p>Children with cancer or hematopoietic cell transplant (HCT) frequently require ICU care. We conducted a retrospective cohort study using Healthcare Cost and Utilization Project’s State Inpatient Databases from 21 U.S. states from 2001-2019. …”
  16. 6276

    Data Sheet 1_The effects of weight-bearing manipulations on gait and its underlying neural control mechanisms in toe walking children.pdf by Michelle Gwerder (11477414)

    Published 2025
    “…Linear mixed-effects models assessed spatiotemporal gait parameters, margin of stability, gait variability, and H-reflex responses.…”
  17. 6277

    Internal states adjust the Brp compartmental heterogeneity through octopamine. by Hongyang Wu (8856740)

    Published 2025
    “…GFP<sub>1−10</sub> was expressed in KCs using <i>R13F02-GAL4</i> in control, or <i>T</i>β<i>h</i><sup><i>SK2-4</i></sup> background flies. 1−2 weeks old flies were used. …”
  18. 6278

    Table 1_Global, regional, and national esophageal cancer deaths and DALYs attributable to diet low in vegetables and fruits, 1990–2019: analysis for the global burden of disease st... by Bing Cui (179696)

    Published 2025
    “…From 1990 to 2019, while the absolute numbers of deaths and DALYs followed a complex trajectory of initial increase followed by decline, age-standardized rates consistently decreased, reflecting the positive impact of epidemiological improvements. …”
  19. 6279

    Study sample. by Nipaporn Butsing (19470003)

    Published 2025
    “…One increased National Institute of Health Stroke Scale (NIHSS) score decreased adjusted BI scores by 3.6.</p><p>Conclusion</p><p>The time after discharge, gender, stroke subtype, and stroke severity are significant factors affecting functional outcomes after a stroke. …”
  20. 6280

    CRISPR/Cas9-mediated editing of barley lipoxygenase genes promotes grain fatty acid accumulation and storability by Zhanghui Zeng (3571331)

    Published 2025
    “…Notably, the total LOX activity in mature grains decreased by 36–42% in <i>loxC1</i> mutants and by 94% in <i>loxAloxC1</i> mutants, with no significant change observed in <i>loxB</i> mutants. …”