Image 1_Species diversity and risk factors of gastrointestinal nematodes in smallholder dairy calves in Kenya.tiff by Sylvia Cheptoo (22040249)

“…Male calves showed a significant association with both increased FEC and smaller heart girth, while FEC decreased with age. …”

Participants diagram of the study. by Nirmal Gautam (10031682)

“…Moreover, non-consumption of fatty foods and outdoor activities were found to be associated with a decrease in obesity by respectively. However, non-consumption of fruits and vegetables and maternal BMI were significantly correlated with an increased risk of obesity in children () and adolescents () respectively.…”

Table 2_Risk factors for coronary atherosclerotic heart disease in postmenopausal women: a meta-analysis.pdf by Xin Miao (1674739)

“…After menopause, estrogen levels decrease, and the risk of cardiovascular disease increases substantially; however, research on risk factors for CHD in postmenopausal women has been inconclusive.…”

Table 1_Risk factors for coronary atherosclerotic heart disease in postmenopausal women: a meta-analysis.pdf by Xin Miao (1674739)

“…After menopause, estrogen levels decrease, and the risk of cardiovascular disease increases substantially; however, research on risk factors for CHD in postmenopausal women has been inconclusive.…”

Parameters of screws. by Pilan Jaipanya (12861176)

“…Thus, CPS insertion has a high risk of pedicle wall perforation, resulting in neurovascular injury. …”

Supplementary Material for: Effect of frail phenotype on cardiorenal risk and healthcare utilization in older patients with chronic kidney disease by Sun C.-Y. (10070377)

“…Every one-point frailty elevated composite renal outcome risk by 28.0 % (HR: 1.28, 95% CI:1.03–1.59) and significantly increased secondary outcomes (hospitalization [HR: 1.24, 95% CI: 1.06–1.46], unexpected ER visit [HR: 1.20, [95% CI:1.03–1.39], and mortality [HR: 1.51, 95% CI: 1.06–2.16]) but not for MACE [HR: 1.43, 95% CI: 0.99–2.08]. …”

Supplementary Material for: Impact of robotic surgery on postoperative pancreatic fistula for high-risk pancreaticojejunostomy after pancreatoduodenectomy by Fuji T. (13875467)

“…Conclusions: This study demonstrated the impact of robotic surgery on POPF in high-risk patients after PD. These results suggest that RPD may be significantly associated with a decreased incidence of CR-POPF in high-risk anastomoses.…”

The role of TRECs/KRECs as immune indicators that reflect immunophenotypes and predict the risk of infection in systemic autoimmune diseases by Takuji Itakura (20657884)

“…TREC and KREC levels decreased after treatment. The ratios of TREC and KREC levels under treatment to baseline were significantly lower in patients with severe infection than those without. …”

Genetic prediction of the relationship between mitochondrial proteins and diabetic polyneuropathy risk: a Mendelian randomization study by Zixiao Wang (6078317)

“…</p> <p>COA3, NFU1, and SARS2 significantly affect DPN risk, with COA3 lowering and NFU1 and SARS2 increasing risk. …”

Table 1_Association between body composition in early pregnancy and the risk of gestational diabetes mellitus.docx by Yan Li (23143)

“…Each standard deviation (SD) increase in PBF and FM was associated with a 31% (95% CI: 1.07–1.60) and 27% (95% CI: 1.03–1.57) increased risk of GDM, respectively. RCS analysis indicated that the risk of GDM continuously increased with higher levels of PBF and FM, whereas it decreased with FFM and LM (p-overall < 0.001, p-non-linear range: 0.073–0.924). …”

Table 1_Metabolites mediate the effects of healthy lifestyles on the risks of common age-related diseases.xlsx by Yan Li (23143)

“…Furthermore, intermediate or healthy lifestyles significantly decreased the age-related risk of stroke, chronic liver disease, chronic kidney disease (CKD), osteoporosis, osteoarthritis, and hypertension. …”

Table 1_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”

Table 4_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”

Table 5_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”

Table 2_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”

Table 3_Explainable machine learning reveals ribosome biogenesis biomarkers in preeclampsia risk prediction.xlsx by Jingjing Chen (293564)

“…SHapley Additive exPlanations interpretability analysis revealed SUV39H1 as the dominant risk contributor, while GLUL exhibited a protective effect. …”

Predictors in ordinal regression model for GDS. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

Classification of hand grip strength. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

Rating scale for functional severity [28]. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”

Regression model coefficients. by Shane Naidoo (20148021)

“…Conversely in a linear regression model, depression (<i>B</i> = -2.01, <i>p</i> = .004) and physical activity (<i>B</i> = -.001, <i>p</i> = .008) were predictors for decreases in BMI.</p><p>Conclusion</p><p>The relationship between depression and BMI in older people is complex, with depression often leading to both weight loss and, conversely, increased BMI contributing to a higher risk of depression. …”