Supplementary Material for: Perioperative Blood Pressure Management Recommendations in Pediatric Pheochromocytoma: A 10-Year Narrative Review by Ambarsari C.G. (16518681)

“…Nevertheless, mortality rates decreased significantly in the latter half of the twentieth century due to effective perioperative blood pressure (BP) management. …”

Table 1_Autoimmune thyroid disease and human health: a systematic review of Mendelian randomization studies.xlsx by Peijin Li (220400)

“…MR analyses indicated that AITD significantly increased the risk of coronary atherosclerosis, deep venous thrombosis, chronic obstructive pulmonary disease, major depression, diabetic neuropathy, carpal tunnel syndrome, neuromyelitis optica spectrum disorder, diabetic retinopathy, childhood absence epilepsy, rheumatoid arthritis, systemic lupus erythematosus, psoriatic arthritis, inflammatory bowel disease, crohn's disease, vitiligo, myasthenia gravis, alopecia areata, type 1 and type 2 diabetes, sarcoidosis, frozen shoulder, drug eruptions, cataract, early age-related macular degeneration, pernicious anemia, Helicobacter pylori infection, temporomandibular disorders, migraine, frailty, primary biliary cholangitis, knee osteoarthritis, gout, and osteoporosis, while decreasing the risk of lung cancer, polyneuropathies, allergic rhinitis, telomere length, and serum vitamin A levels. …”

Table 1_Changes in taste perception in elderly population and its potential impact on oral health: a systematic review with meta-analysis.docx by Larisse Santos Mendonça Alves (20386377)

“…This is expected with aging due to a decrease in taste buds and other conditions, leading to systemic and oral diseases. …”

Table 1_Efficacy of submucosal administration of tramadol on acute pain following third molar surgery: a systematic review and meta-analysis.docx by Ahmad Salem Assari (20277900)

“…In addition, tramadol demonstrated a significant decrease in post-operative pain.</p>Conclusion<p>Submucosal tramadol is an efficient, safe, and dependable method for reducing post-operative acute pain, particularly in the first 6 h following impacted third molar surgery. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Image 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.tiff by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Table 1_Can posttreatment blood inflammatory markers predict poor survival in gynecologic cancer?: a systematic review and meta-analysis.docx by Minyong Choi (22465405)

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

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

“…Early sampling of within one month after treatment completion (≤ median 15 days) showed prognostic significance (pooled hazard ratios 3.43–3.55; p < 0.0001), whereas late sampling demonstrated no significant associations. …”

Table 6_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Image 2_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.tif by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 3_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 5_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 1_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”

Table 4_Integrated analysis of microbiome and metabolome reveals insights into cervical neoplasia aggravation in a Chinese cohort.xlsx by Qingzhi Zhai (21265412)

“…Furthermore, we found a significant correlation between the cervical microbiota Porphyromonas and the metabolite PGE2, suggesting a potential role of key microbiota in inducing inflammation.…”