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For: Chen FC, Xu YC, Zhang ZC. Multi-biomarker strategy for prediction of myocardial dysfunction and mortality in sepsis. J Zhejiang Univ Sci B 2020;21:537-48. [PMID: 32633108 DOI: 10.1631/jzus.B2000049] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Lin S, Luo B, Ma J. Multiple datasets to explore the molecular mechanism of sepsis. BMC Genom Data 2022;23:66. [DOI: 10.1186/s12863-022-01078-2] [Reference Citation Analysis]
2 Tang X, Zheng W, Hu J, Deng H, Tang L, Zou Z, Liu Y, Qin H, Ye Y, Chen H. Proteomics-based analysis of potential therapeutic targets in patients with peritoneal dialysis-associated peritonitis. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics 2022;1870:140796. [DOI: 10.1016/j.bbapap.2022.140796] [Reference Citation Analysis]
3 He S, Leng W, Du X, He Y, Zhao Y, Wang Y, Yu S. Diagnostic significance of heart-type fatty acid-binding protein as a potential biomarker to predict the mortality rate of patients with sepsis: a systematic review and meta-analysis. Expert Rev Mol Diagn 2022. [PMID: 35196937 DOI: 10.1080/14737159.2022.2046464] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Meng JB, Hu MH, Zhang M, Hu GP, Zhang W, Hu SJ. The Correlation Between Whole Blood Copper (Cu), Zinc (Zn) Levels and Cu/Zn Ratio and Sepsis-Induced Left Ventricular Systolic Dysfunction (SILVSD) in Patients with Septic Shock: A Single-Center Prospective Observational Study. Int J Gen Med 2021;14:7219-34. [PMID: 34737617 DOI: 10.2147/IJGM.S335348] [Reference Citation Analysis]
5 Yang Y, Leng J, Tian X, Wang H, Hao C. Brain natriuretic peptide and cardiac troponin I for prediction of the prognosis in cancer patients with sepsis. BMC Anesthesiol 2021;21:159. [PMID: 34030651 DOI: 10.1186/s12871-021-01384-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]