JCSM: growing together with cachexia and sarcopenia research

Higher systemic immune-inflammation index is associated with sarcopenia in individuals aged 18-59 years: a population-based study

The association between the systemic immune-inflammation index (SII) and the risk of sarcopenia has not yet been revealed. The purpose of this study was to investigate the relationship between the SII and sarcopenia in individuals aged 18-59 years. All data for this study are from the National Health and Nutrition Examination Survey (NHANES) database, including 7258 participants (age range: 18-59 years). We divided SII values by quartiles (quartiles 1-4: 0.3-3.1, 3.2-4.4, 4.4-6.2, and 6.2-58.5). We constructed a multivariate logistic regression model to assess the association between the SII and the risk of sarcopenia, and an interaction test was run to test the stability of the model and identify high-risk individuals with sarcopenia. Compared to nonsarcopenia participants, sarcopenia patients had a significantly higher SII value (weighted average: 6.65 vs. 5.16) (P = 0.002). Multivariate logistic regression results showed a positive linear relationship between the SII and sarcopenia (OR [odds ratio] = 1.12, 95% CI [confidence interval] 1.03-1.21). Compared to the quartile 1 group, the quartile 4 group was associated with a higher risk of sarcopenia (OR = 3.94, 95% CI 1.42-10.94). Compared with the quartile 1 group, the OR value of the quartile 2 to quartile 4 groups showed an upwards trend (Ptrend < 0.001) as the level of SII increased. Subgroup analysis also indicate that the correlation between higher SII values and the risk of sarcopenia was stable. There was a significant positive linear relationship between SII and sarcopenia, indicating that higher SII values can increase the risk of sarcopenia in individuals aged 18-59 in the United States. The findings of this study will be beneficial in promoting the use of SII alone or in combination with other tools for the risk screening of sarcopenia in communities or large populations.

Ethical guidelines for publishing in the Journal of Cachexia, Sarcopenia and Muscle: Update 2023

The Journal of Cachexia, Sarcopenia and Muscle (JCSM) aims to publish articles with relevance to wasting disorders and illnesses of the muscle in the broadest sense. In order to avoid publication of inappropriate articles and to avoid protracted disputes, the Editors have established ethical guidelines that detail a number of regulations to be fulfilled prior to submission to the journal. This article updates the principles of ethical authorship and publishing in JCSM and its daughter journal JCSM Rapid Communication. We require the corresponding author, on behalf of all co-authors, to certify adherence to the following principles: All authors listed on a manuscript considered for publication have approved its submission and (if accepted) approve publication in the journal; Each named author has made a material and independent contribution to the work submitted for publication. No person who has a right to be recognized as author has been omitted from the list of authors on the submitted manuscript; The submitted work is original and is neither under consideration elsewhere nor that it has been published previously in whole or in part other than in abstract form; All authors certify that the submitted work is original and does not contain excessive overlap with prior or contemporaneous publication elsewhere, and where the publication reports on cohorts, trials, or data that have been reported on before the facts need to be acknowledged and these other publications must be referenced; All original research work has been approved by the relevant bodies such as institutional review boards or ethics committees; All relevant conflicts of interest, financial or otherwise, that may affect the authors' ability to present data objectively, and relevant sources of funding of the research in question have been duly declared in the manuscript; All authors certify that they will submit the original source data to the editorial office upon request; Authors who have used artificial intelligence, language models, machine learning, or similar technologies need to provide a written statement - as part of the manuscript - that details the use of the respective technology; none of the aforementioned technologies can be listed as an author; The manuscript in its published form will be maintained on the servers of the journal as a valid publication only as long as all statements in these guidelines remain true. If any of the aforementioned statements ceases to be true, the authors have a duty to notify as soon as possible the Editor-in-Chief of the journal, so that the available information regarding the published article can be updated and/or the manuscript can be withdrawn.