{"title":"就 Xie 等人撰写的 \"AWGC2023 痛症共识是预测中国癌症患者预后和负担的重要工具 \"发表评论","authors":"Xiaosong Li, Xiping Shen, Ji Wu","doi":"10.1002/jcsm.13622","DOIUrl":null,"url":null,"abstract":"<p>We have read a recent article titled ‘AWGC2023 cachexia consensus as a valuable tool for predicting prognosis and burden in Chinese patients with cancer’, with great interest [<span>1</span>]. This study is significant, as it provides insights into the association of cachexia based on the Asian Working Group for Cachexia 2023 criteria with long-term survival. These findings have important implications for estimating survival and medical burden among Chinese patients with cancer. While recognizing the value of this study, we would like to make the following comments.</p><p>First, although the Cox regression model is widely acknowledged for its utility, it may inadvertently lead to risk overestimation with potential competing risks. Consequently, for long-term survival prediction explored in this paper, especially when different variables are potentially interrelated, employing a competing risks model appears more fitting. Traditional survival analysis techniques might not adequately account for the influence of secondary events on the primary study endpoint, whereas the competing risks model affords a more comprehensive viewpoint [<span>2</span>].</p><p>Second, the authors' inclusion of important information such as demographic information and laboratory tests to adjust for potential covariates is commendable. Considering studies have shown the association of insurance status with all-cause mortality, it can be inferred that insurance status might be an important covariate affecting the clinical outcome [<span>3</span>]. Additionally, factors such as nutrition condition and microvascular invasion should also be considered for a more comprehensive assessment of the stability and reliability of the results [<span>4, 5</span>].</p><p>Last but not least, given significant age and sex-specific disparities in cancer incidence, a separate analysis for these subgroups could offer more nuanced insights [<span>6</span>].</p><p>This article is a significant step forward in our understanding of the relationship between cachexia and prognosis. A more comprehensive prediction could be an intriguing topic for further investigation. Our suggestions are merely to further refine an already outstanding piece of research.</p><p>The authors have nothing to report.</p><p>The authors declare no conflicts of interest.</p>","PeriodicalId":48911,"journal":{"name":"Journal of Cachexia Sarcopenia and Muscle","volume":"15 6","pages":"2881-2882"},"PeriodicalIF":9.4000,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634460/pdf/","citationCount":"0","resultStr":"{\"title\":\"Comment on ‘AWGC2023 Cachexia Consensus as a Valuable Tool for Predicting Prognosis and Burden in Chinese Patients With Cancer’ by Xie et al.\",\"authors\":\"Xiaosong Li, Xiping Shen, Ji Wu\",\"doi\":\"10.1002/jcsm.13622\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>We have read a recent article titled ‘AWGC2023 cachexia consensus as a valuable tool for predicting prognosis and burden in Chinese patients with cancer’, with great interest [<span>1</span>]. This study is significant, as it provides insights into the association of cachexia based on the Asian Working Group for Cachexia 2023 criteria with long-term survival. These findings have important implications for estimating survival and medical burden among Chinese patients with cancer. While recognizing the value of this study, we would like to make the following comments.</p><p>First, although the Cox regression model is widely acknowledged for its utility, it may inadvertently lead to risk overestimation with potential competing risks. Consequently, for long-term survival prediction explored in this paper, especially when different variables are potentially interrelated, employing a competing risks model appears more fitting. Traditional survival analysis techniques might not adequately account for the influence of secondary events on the primary study endpoint, whereas the competing risks model affords a more comprehensive viewpoint [<span>2</span>].</p><p>Second, the authors' inclusion of important information such as demographic information and laboratory tests to adjust for potential covariates is commendable. Considering studies have shown the association of insurance status with all-cause mortality, it can be inferred that insurance status might be an important covariate affecting the clinical outcome [<span>3</span>]. Additionally, factors such as nutrition condition and microvascular invasion should also be considered for a more comprehensive assessment of the stability and reliability of the results [<span>4, 5</span>].</p><p>Last but not least, given significant age and sex-specific disparities in cancer incidence, a separate analysis for these subgroups could offer more nuanced insights [<span>6</span>].</p><p>This article is a significant step forward in our understanding of the relationship between cachexia and prognosis. A more comprehensive prediction could be an intriguing topic for further investigation. Our suggestions are merely to further refine an already outstanding piece of research.</p><p>The authors have nothing to report.</p><p>The authors declare no conflicts of interest.</p>\",\"PeriodicalId\":48911,\"journal\":{\"name\":\"Journal of Cachexia Sarcopenia and Muscle\",\"volume\":\"15 6\",\"pages\":\"2881-2882\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2024-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11634460/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Cachexia Sarcopenia and Muscle\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jcsm.13622\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GERIATRICS & GERONTOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Cachexia Sarcopenia and Muscle","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jcsm.13622","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GERIATRICS & GERONTOLOGY","Score":null,"Total":0}
Comment on ‘AWGC2023 Cachexia Consensus as a Valuable Tool for Predicting Prognosis and Burden in Chinese Patients With Cancer’ by Xie et al.
We have read a recent article titled ‘AWGC2023 cachexia consensus as a valuable tool for predicting prognosis and burden in Chinese patients with cancer’, with great interest [1]. This study is significant, as it provides insights into the association of cachexia based on the Asian Working Group for Cachexia 2023 criteria with long-term survival. These findings have important implications for estimating survival and medical burden among Chinese patients with cancer. While recognizing the value of this study, we would like to make the following comments.
First, although the Cox regression model is widely acknowledged for its utility, it may inadvertently lead to risk overestimation with potential competing risks. Consequently, for long-term survival prediction explored in this paper, especially when different variables are potentially interrelated, employing a competing risks model appears more fitting. Traditional survival analysis techniques might not adequately account for the influence of secondary events on the primary study endpoint, whereas the competing risks model affords a more comprehensive viewpoint [2].
Second, the authors' inclusion of important information such as demographic information and laboratory tests to adjust for potential covariates is commendable. Considering studies have shown the association of insurance status with all-cause mortality, it can be inferred that insurance status might be an important covariate affecting the clinical outcome [3]. Additionally, factors such as nutrition condition and microvascular invasion should also be considered for a more comprehensive assessment of the stability and reliability of the results [4, 5].
Last but not least, given significant age and sex-specific disparities in cancer incidence, a separate analysis for these subgroups could offer more nuanced insights [6].
This article is a significant step forward in our understanding of the relationship between cachexia and prognosis. A more comprehensive prediction could be an intriguing topic for further investigation. Our suggestions are merely to further refine an already outstanding piece of research.
期刊介绍:
The Journal of Cachexia, Sarcopenia and Muscle is a peer-reviewed international journal dedicated to publishing materials related to cachexia and sarcopenia, as well as body composition and its physiological and pathophysiological changes across the lifespan and in response to various illnesses from all fields of life sciences. The journal aims to provide a reliable resource for professionals interested in related research or involved in the clinical care of affected patients, such as those suffering from AIDS, cancer, chronic heart failure, chronic lung disease, liver cirrhosis, chronic kidney failure, rheumatoid arthritis, or sepsis.