Study characteristics and estimates of <i>Giardia</i> infection prevalence associations. Statistically significant values are bolded. by Kareem Hatam-Nahavandi (7384790)

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Univariable and multivariable analyses (age-adjusted), concerning a selection of medicaments p < 0.1 and n ≥ 10. by P.G.J. ter Horst (21743830)

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Univariable and multivariable analyses (age- and abstinence days-adjusted), concerning medicament(s) use and Low Semen Quality (LSQ). by P.G.J. ter Horst (21743830)

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Predictions of Age-Standardized Rate of burden caused by fire, heat and hot substances for different sexes in 2030 based on the Bayesian Age-Period-Cohort model. by Shi Huang (125861)

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Univariable and multivariable analyses (age- and abstinence days-adjusted), concerning a selection of medicaments with n ≥ 10 medicament users and p < 0.1 by univariate analysis.... by P.G.J. ter Horst (21743830)

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Frontier Analysis: Countries with high potential for improvement in the burden of injuries caused by fire, heat, and hot substances in 2021. by Shi Huang (125861)

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The burden forecast of injuries caused by fire, heat, and hot substances for 2021–2030. by Shi Huang (125861)

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The burden of injuries caused by fire, heat and hot substances in female and male across 22 GBD regions. by Shi Huang (125861)

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Burden of injuries caused by fire, heat, and substances in Disability-Adjusted Life Years, Years of Life Lost and Years Lived with Disability between 1990 and 2021. by Shi Huang (125861)

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Age-Standardized Rate of injuries caused by fire, heat and hot substances in 22 GBD regions with varying Social-Demographic Index globally from 1990 to 2021. by Shi Huang (125861)

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Frontier analysis of injuries’ burden caused by fire, heat, and hot substances from 1990 to 2021. by Shi Huang (125861)

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Graph of successive trends in the burden of injury caused by fire, heat and hot substances between 1990 and 2021. by Shi Huang (125861)

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Burden of injuries caused by fire, heat, and substances in Incidence, Prevalence and Death between 1990 and 2021. by Shi Huang (125861)

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Synthesis and Preclinical Evaluation of Novel ^99mTc-Labeled FR-Targeting Agents with Satisfactory Imaging Contrast and Reduced Renal Uptake by Junhong Feng (11835903)

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Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>. by Erika Kroll (20537020)

Estimated average absolute and relative changes in energy (kcal/capita/day) from the no-policy counterfactual by phase and number of excess nutrients of concern. by Lindsey Smith Taillie (3159258)

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Subgroup analysis of BUN based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of BUN based on surgery type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of ICU Stay based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”

Subgroup analysis of eGFR based on pump type. by Mohamed R. Abdelraouf (21501468)

“…The analysis showed that pulsatile perfusion led to a significant decrease in creatinine level [MD = −0.14, 95% CI (−0.24, −.04), P < 0.004], lactate level [MD = −8.21, 95% CI (−13.16, −3.25), P < 0.001], hospital stay [MD = −1.38, 95% CI (−2.51, −0.25), P = 0.016], ICU stay [MD = −0.47, 95% CI (−0.82, −0.13), P = 0.007], intubation time [MD = −3.73, 95% CI (−5.42, −2.04), P < 0.001], and increase in creatinine clearance [MD = 10.08, 95% CI (3.36, 16.80), P < 0.003]. …”