Table 3_The global burden of pediatric infective endocarditis (5–14 years): epidemiological patterns from 1990 to 2021 and projected trajectories.pdf by Ying Xiao (6517)

“…DALYs decreased by 19.2% (95% UI, −33.2% to 1.9%). Marked disparities persisted, with high-SDI regions, notably China, achieving the greatest reductions in burden, while sub-Saharan Africa and Eastern Europe exhibited stagnant or increasing rates. …”

Data Sheet 3_CD44 knockdown alters miRNA expression and their target genes in colon cancer.pdf by Diana Maltseva (11678641)

“…Introduction<p>Metastasis formation poses a significant challenge to oncologists, as it severely limits the survival of colorectal cancer (CRC) patients. …”

Changes in the effective optical zone following hyperopic keratorefractive lenticule extraction by Yangyi Huang (11859382)

“…EOZ reduction was negatively associated with POZ at the late postoperative stage (ΔEOZ/POZ: <i>p</i> = 0.043; ΔEOZ/PTZ: <i>p</i> = 0.020).</p> <p>The EOZ continued decreasing following hyperopic KLEx. …”

Supplementary Material for: Efficacy of penetrating canaloplasty versus trabeculectomy in patients with bilateral primary glaucoma: a self-control study by figshare admin karger (2628495)

“…Complete (without medication) and qualified success (with/without medication) were defined as IOP ≤21 mmHg and ≥20% IOP reduction. Results: Mean IOP decreased from 32.5±8.87mmHg on 2.3±1.43 medications at baseline to 14.6±4.41mmHg on 0.20±0.58 medications at 12 months in TRAB group (both p<0.0001) and from 30.0±9.61mmHg on 2.7±1.10 medications to 14.8±4.63mmHg on 0.12±0.44 medications in PCP group (both p<0.0001). …”

Table6_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table4_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table2_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table8_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table5_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table3_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

Table7_Use of non-specific immunoglobulins in Catalonia in three third-level hospitals: a descriptive analysis of a hospital-prescribed medication registry.docx by J. Riera-Arnau (20431328)

“…In the sensitivity analysis, the A-level usage rate decreased to one-third and the B-level usage rate increased by 2–3 times. …”

CO₂fertilisation counteracts the negative effect of poor water quality on the growth and photosynthesis of a Great Barrier Reef coralline alga_datasheets by Bonnie Lewis (20407157)

“…We found complex interactions between factors on algal growth and photosynthetic rates, but overall, growth was significantly enhanced by <i>p</i>CO₂ enrichment under all light and nutrient combinations. …”

Table 9_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 2_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 10_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 3_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 8_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 6_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 5_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”

Table 4_Exploring Histoplasma species seroprevalence and risk factors for seropositivity in The Gambia’s working equid population: Baseline analysis of the Tackling Histoplasmosis... by Tessa Rose Cornell (15460726)

“…In horses, two multivariable models explained the maximum amount of data variability. Model 1 demonstrated increased odds of seropositivity in mares [odds ratio (OR) = 2.90 95% CI 1.70–4.95, p < 0.001] and decreased odds in horses <2.5 years (OR = 0.46 95% CI 0.22–0.95, p = 0.04; reference: ≥4.5 years). …”