Comment on 'CD3+/CD4+ Cells Combined With Myosteatosis Predict the Prognosis in Patients Who Underwent Gastric Cancer Surgery' by Du Et Al.
作者信息
Dai Wenchu, Liu Jinlin, Zhao Pan
机构信息
Department of Clinical Laboratory, Xian No. 1 Hospital, Xi'an, China.
Department of Clinical Laboratory, South China Hospital, Medical School, Shenzhen University, Shenzhen, China.
出版信息
J Cachexia Sarcopenia Muscle. 2024 Dec;15(6):2867-2868. doi: 10.1002/jcsm.13588. Epub 2024 Sep 28.
Abstract
摘要
相似文献
1
Comment on 'CD3+/CD4+ Cells Combined With Myosteatosis Predict the Prognosis in Patients Who Underwent Gastric Cancer Surgery' by Du Et Al.对Du等人所著的《CD3+/CD4+细胞联合肌少脂性对胃癌手术患者预后的预测》的评论
J Cachexia Sarcopenia Muscle. 2024 Dec;15(6):2867-2868. doi: 10.1002/jcsm.13588. Epub 2024 Sep 28.
2
CD3+/CD4+ cells combined with myosteatosis predict the prognosis in patients who underwent gastric cancer surgery.CD3+/CD4+细胞与肌少脂性肥胖相结合可预测接受胃癌手术患者的预后。
J Cachexia Sarcopenia Muscle. 2024 Aug;15(4):1587-1600. doi: 10.1002/jcsm.13517. Epub 2024 Jun 18.
3
Prognostic Value of Myosteatosis and Creatinine-to-Cystatin C Ratio in Patients with Pancreatic Cancer Who Underwent Radical Surgery.肌内脂肪含量和肌酸酐-胱抑素 C 比值对接受根治性手术的胰腺癌患者的预后价值。
Ann Surg Oncol. 2024 May;31(5):2913-2924. doi: 10.1245/s10434-024-14969-8. Epub 2024 Feb 6.
4
Computed tomography defined body composition may predict postoperative outcomes and prognosis following gastric cancer surgery.计算机断层扫描定义的身体成分可能预测胃癌手术后的术后结局和预后。
Turk J Surg. 2025 Sep 3;41(3):227-234. doi: 10.47717/turkjsurg.2025.6744. Epub 2025 Apr 11.
5
Myosteatosis predicts prognosis after radical gastrectomy for gastric cancer: A propensity score-matched analysis from a large-scale cohort.肌内脂肪浸润预测胃癌根治术后的预后：一项来自大规模队列的倾向评分匹配分析。
Surgery. 2019 Sep;166(3):297-304. doi: 10.1016/j.surg.2019.03.020. Epub 2019 May 6.
6
Different cutoff values of the skeletal muscle mass and myosteatosis result in different clinical impact on overall survival in oncology. A subanalysis of a clinical trial.骨骼肌质量和肌脂肪变性的不同临界值对肿瘤学中的总生存具有不同的临床影响。一项临床试验的亚组分析。
J Cancer Res Clin Oncol. 2025 Apr 16;151(4):141. doi: 10.1007/s00432-025-06190-1.
7
Prognostic values of myosteatosis for overall survival in patients with gastric cancers: A meta-analysis with trial sequential analysis.肌内脂肪浸润对胃癌患者总生存预后价值的荟萃分析：一项试验序贯分析。
Nutrition. 2023 Jan;105:111866. doi: 10.1016/j.nut.2022.111866. Epub 2022 Oct 14.
8
Obesity is a major factor for colon cancer prognosis - a comment on Mehrkhani et al., 'Prognostic factors in survival of colorectal cancer patients after surgery'.肥胖是结肠癌预后的主要因素——对Mehrkhani等人《结直肠癌患者术后生存的预后因素》一文的评论
Colorectal Dis. 2009 Jun;11(5):538-9. doi: 10.1111/j.1463-1318.2009.01903.x. Epub 2009 Apr 13.
9
Evaluating the influence of sarcopenia and myosteatosis on clinical outcomes in gastric cancer patients undergoing immune checkpoint inhibitor.评估肌肉减少症和肌内脂肪浸润对接受免疫检查点抑制剂治疗的胃癌患者临床结局的影响。
World J Gastroenterol. 2024 Feb 28;30(8):863-880. doi: 10.3748/wjg.v30.i8.863.
10
Comment on 'Myosteatosis and Muscle Loss Impact Liver Transplant Outcomes in Male Patients With Hepatocellular Carcinoma' by Lu et al.对Lu等人所著的《肌脂肪变性和肌肉减少对男性肝细胞癌患者肝移植结局的影响》的评论
J Cachexia Sarcopenia Muscle. 2024 Dec;15(6):2877-2878. doi: 10.1002/jcsm.13620. Epub 2024 Oct 20.
本文引用的文献
1
CD3+/CD4+ cells combined with myosteatosis predict the prognosis in patients who underwent gastric cancer surgery.CD3+/CD4+细胞与肌少脂性肥胖相结合可预测接受胃癌手术患者的预后。
J Cachexia Sarcopenia Muscle. 2024 Aug;15(4):1587-1600. doi: 10.1002/jcsm.13517. Epub 2024 Jun 18.
2
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression.使用多项逻辑回归开发多变量预测模型的最小样本量。
Stat Methods Med Res. 2023 Mar;32(3):555-571. doi: 10.1177/09622802231151220. Epub 2023 Jan 19.
3
Calculating the sample size required for developing a clinical prediction model.计算开发临床预测模型所需的样本量。
BMJ. 2020 Mar 18;368:m441. doi: 10.1136/bmj.m441.
4
Minimum sample size for developing a multivariable prediction model: Part I - Continuous outcomes.建立多变量预测模型的最小样本量：第一部分-连续结局。
Stat Med. 2019 Mar 30;38(7):1262-1275. doi: 10.1002/sim.7993. Epub 2018 Oct 22.
5
Importance of events per independent variable in proportional hazards regression analysis. II. Accuracy and precision of regression estimates.比例风险回归分析中每个自变量的事件重要性。II. 回归估计的准确性和精确性。
J Clin Epidemiol. 1995 Dec;48(12):1503-10. doi: 10.1016/0895-4356(95)00048-8.
Zotero 插件