Table 2_Efficacy and safety of levetiracetam in preventing postoperative seizures in adult patients with brain tumors: a meta-analysis.docx by Yongyi Zhang (1800337)

“…Subgroup analyses revealed that the efficacy of levetiracetam was superior to that of sodium valproate (OR 0.53, 95% CI 0.39–0.72, p < 0.0001) and phenytoin sodium (OR 0.35, 95% CI 0.19–0.62, p = 0.0004). No statistically significant difference in the efficacy of early seizure prophylaxis (OR 0.55, 95% CI 0.15–2.04, p = 0.37) was observed. …”

Image 3_Efficacy and safety of levetiracetam in preventing postoperative seizures in adult patients with brain tumors: a meta-analysis.jpeg by Yongyi Zhang (1800337)

“…Subgroup analyses revealed that the efficacy of levetiracetam was superior to that of sodium valproate (OR 0.53, 95% CI 0.39–0.72, p < 0.0001) and phenytoin sodium (OR 0.35, 95% CI 0.19–0.62, p = 0.0004). No statistically significant difference in the efficacy of early seizure prophylaxis (OR 0.55, 95% CI 0.15–2.04, p = 0.37) was observed. …”

Image 1_Efficacy and safety of levetiracetam in preventing postoperative seizures in adult patients with brain tumors: a meta-analysis.tif by Yongyi Zhang (1800337)

“…Subgroup analyses revealed that the efficacy of levetiracetam was superior to that of sodium valproate (OR 0.53, 95% CI 0.39–0.72, p < 0.0001) and phenytoin sodium (OR 0.35, 95% CI 0.19–0.62, p = 0.0004). No statistically significant difference in the efficacy of early seizure prophylaxis (OR 0.55, 95% CI 0.15–2.04, p = 0.37) was observed. …”

Image 2_Efficacy and safety of levetiracetam in preventing postoperative seizures in adult patients with brain tumors: a meta-analysis.tif by Yongyi Zhang (1800337)

“…Subgroup analyses revealed that the efficacy of levetiracetam was superior to that of sodium valproate (OR 0.53, 95% CI 0.39–0.72, p < 0.0001) and phenytoin sodium (OR 0.35, 95% CI 0.19–0.62, p = 0.0004). No statistically significant difference in the efficacy of early seizure prophylaxis (OR 0.55, 95% CI 0.15–2.04, p = 0.37) was observed. …”

Image 4_Efficacy and safety of levetiracetam in preventing postoperative seizures in adult patients with brain tumors: a meta-analysis.tif by Yongyi Zhang (1800337)

“…Subgroup analyses revealed that the efficacy of levetiracetam was superior to that of sodium valproate (OR 0.53, 95% CI 0.39–0.72, p < 0.0001) and phenytoin sodium (OR 0.35, 95% CI 0.19–0.62, p = 0.0004). No statistically significant difference in the efficacy of early seizure prophylaxis (OR 0.55, 95% CI 0.15–2.04, p = 0.37) was observed. …”

DataSheet1_Updated evidence of the Naoshuantong capsule against ischemic stroke: a systematic review and meta-analysis of randomized controlled trials.docx by Cuilin Que (19743256)

“…Significant disparities in the incidence of adverse events between the NSTC and control groups were not observed. …”

Supplementary file 1_Effects of nitrogen addition on SOC in alpine grasslands of the Qinghai-Tibetan Plateau and adjacent mountain regions: a meta-analysis.docx by Yanhui Ye (22775894)

“…The addition of nitrogen decreased the soil pH by 0.20 units and the soil C/N ratio by 1.7%. …”

Coherence of SCN metabolic pathways changes during development. by Martin Sládek (130663)

“…<b>(C)</b> Number of all significant polar metabolite and lipid correlations (positive in red, negative in blue) across all analyzed ages. …”

Supplementary file 1_Investigating the feasibility of machine learning to guide personalized red blood cell (RBC) transfusion: analyzing the heterogeneity of RBC transfusion in sep... by Penglei Yang (8090156)

“…There was significant heterogeneity in the ITE among patients in the MIMIC-III validation cohort. …”

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

“…Pseudo color in the images represents the value of log₂ (pixel intensity/mean pixel intensity in the γ lobe). Pseudo color range: −1.2 to 1.2. …”

Data Sheet 1_Immunotherapy for neuromyelitis optica spectrum disorder: a comparative analysis of efficacy and safety of azathioprine, mycophenolate mofetil, tacrolimus, and rituxim... by Jing Zhou (168494)

“…The annual relapse rate (ARR) significantly decreased after treatment with all four drugs. …”

Table2_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</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.…”

Table13_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</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.…”

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

“…</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.…”

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

“…</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.…”

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

“…</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.…”

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

“…</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.…”

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

“…</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.…”

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

“…</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.…”

Table11_Unveiling the molecular landscape of PCOS: identifying hub genes and causal relationships through bioinformatics and Mendelian randomization.xlsx by Yifang He (18126257)

“…</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.…”