Comment on ‘CD3+/CD4+ Cells Combined With Myosteatosis Predict the Prognosis in Patients Who Underwent Gastric Cancer Surgery’ by Du Et Al.

IF 8.9 1区 医学 Journal of Cachexia, Sarcopenia and Muscle Pub Date : 2024-09-28 DOI:10.1002/jcsm.13588
Wenchu Dai, Jinlin Liu, Pan Zhao
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引用次数: 0

Abstract

Sir, we read Du's study [1] with great interest. In this study, they aimed to investigate the predictive capacity of lymphocyte subpopulations, sarcopenia and myosteatosis for clinical outcomes in patients who underwent gastric cancer surgery. Additionally, the prognostic significance of CD3+/CD4+ cells in conjunction with myosteatosis was explored. Based on their statistical analysis, they found that CD3+/CD4+ cells, CD4+/CD8+ ratio and CD19+ cells are indicative of clinical prognosis in gastric cancer surgery patients. Sarcopenia and myosteatosis are also associated with the patient's prognosis. Despite promising results, in this letter, we raise some statistical concerns about the results of this study.

Firstly, we noted that there were 38 variables in Table 2 or Table 3 for univariate and multivariate analysis for progression-free survival or overall survival. Thus, according to the basic statistical rule demands that 1 covariate per 10 outcomes for the prediction analysis [2-5], analysing 38 covariates demands at least 380 death gastric cancer patients in Du's study. In contrast, there were only a total of 190 gastric cancer patients, let alone fewer death patients (approximately <100 death patients) in this study. Thus, these logistic regression analysis models were too overfitted, the statistical result may not be accurate, and it needs another larger cohort to validate their risk factors's results.

Secondly, the author could reduce the number of covariates by making the comparison between the dead and survival groups, screening the reduced covariates and using these reduced variables to do the logistic regression analysis. It can get more reliable results.

Thirdly, did these gastric cancer patients receive chemotherapy in this study, while this chemotherapy could severely influence the results of haematological parameters? As staff worked in the clinical laboratory, we know that the haematological parameters were severely influenced by chemotherapy drugs. The same patient may have different results on the same day. Thus, the author should discuss the chemotherapy drug's effect on these covariates, such as the influence on the lymphocyte subsets and other haematological parameters. Without considering this influence, these gastric cancers may have different baselines, resulting in inaccurate risk factors results.

Finally, we show great respect for Du's outstanding study despite these comments.

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就 Du Et Al.撰写的 "CD3+/CD4+细胞与骨质疏松症结合可预测胃癌手术患者的预后 "发表评论
先生,我们饶有兴趣地阅读了 Du 的研究[1]。在这项研究中,他们旨在探讨淋巴细胞亚群、肌肉疏松症和肌骨质疏松症对胃癌手术患者临床预后的预测能力。此外,他们还探讨了 CD3+/CD4+ 细胞与肌骨质疏松症的预后意义。根据统计分析,他们发现 CD3+/CD4+ 细胞、CD4+/CD8+ 比率和 CD19+ 细胞对胃癌手术患者的临床预后有指示作用。肌少症和肌骨疏松也与患者的预后有关。尽管结果令人鼓舞,但在这封信中,我们还是对这项研究的结果提出了一些统计学上的担忧。首先,我们注意到表 2 或表 3 中有 38 个变量用于无进展生存期或总生存期的单变量和多变量分析。首先,我们注意到表 2 或表 3 中有 38 个变量用于无进展生存期或总生存期的单变量和多变量分析,因此,根据预测分析中每 10 个结果需要 1 个协变量的基本统计规则[2-5],分析 38 个协变量需要至少 380 例死亡胃癌患者。相比之下,本研究中的胃癌患者总数只有 190 人,死亡患者更少(约 100 人)。因此,这些逻辑回归分析模型的拟合度太高,统计结果可能并不准确,需要另一个更大的队列来验证其风险因素的结果。其次,作者可以通过死亡组和生存组之间的比较来减少协变量的数量,筛选出减少的协变量,并用这些减少的变量来做逻辑回归分析。第三,本研究中的这些胃癌患者是否接受了化疗,而化疗会严重影响血液学指标的结果?作为临床实验室的工作人员,我们知道化疗药物会严重影响血液学指标。同一个病人在同一天可能会有不同的结果。因此,作者应该讨论化疗药物对这些协变量的影响,如对淋巴细胞亚群和其他血液学参数的影响。如果不考虑这种影响,这些胃癌患者可能会有不同的基线,从而导致风险因素结果不准确。最后,尽管存在这些意见,但我们仍对杜氏的杰出研究表示崇高敬意。
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来源期刊
Journal of Cachexia, Sarcopenia and Muscle
Journal of Cachexia, Sarcopenia and Muscle Medicine-Orthopedics and Sports Medicine
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期刊介绍: The Journal of Cachexia, Sarcopenia, and Muscle is a prestigious, peer-reviewed international publication committed to disseminating research and clinical insights pertaining to cachexia, sarcopenia, body composition, and the physiological and pathophysiological alterations occurring throughout the lifespan and in various illnesses across the spectrum of life sciences. This journal serves as a valuable resource for physicians, biochemists, biologists, dieticians, pharmacologists, and students alike.
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