[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-seo-330869-105":3,"detail-sidebar-cat-0-en-105":85,"doc-detail-330869-en":134},{"code":4,"msg":5,"data":6},0,"ok",{"site_id":7,"language":8,"slug":9,"title":10,"keywords":11,"description":12,"schema_data":13,"social_meta":78,"head_meta":80,"extra_data":82,"updated_unix":84},105,"en","geriatric-nutritional-risk-index-and-mortality-from-all-cause-cancer-and-non-cancer-in-us-cancer-survivors-nhanes-2001-2018","Geriatric nutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors - NHANES 2001-2018","","Malnutrition is linked to worse cancer outcomes, reduced quality of life, and higher mortality. This study evaluates how the Geriatric Nutritional Risk Index (GNRI), reflecting nutritional status, relates to all-cause, cancer-specific, and non-cancer mortality among adults aged 40+ with cancer. Using NHANES data from 2001–2018 with a median 83-month follow-up, participants were grouped by low (\u003C98) versus high (≥98) GNRI, and survival and multivariable hazard models were applied. Results show higher GNRI associates with lower mortality and significant non-linear effects.",{"@graph":14,"@context":77},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & Report",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/geriatric-nutritional-risk-index-and-mortality-from-all-cause-cancer-and-non-cancer-in-us-cancer-survivors-nhanes-2001-2018/330869/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/geriatric-nutritional-risk-index-and-mortality-from-all-cause-cancer-and-non-cancer-in-us-cancer-survivors-nhanes-2001-2018/330869.png","ImageObject",300,407,{"name":42,"@type":43},"Maeve","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-11-06","2026-09-21",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",7,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69,73],{"name":60,"@type":61,"acceptedAnswer":62},"What is the main purpose of this study?","Question",{"text":63,"@type":64},"To assess the relationship between the Geriatric Nutritional Risk Index (GNRI) and mortality outcomes (all-cause, cancer-specific, and non-cancer) in U.S. cancer survivors using NHANES data from 2001–2018.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"How were participants grouped in the analysis?",{"text":68,"@type":64},"Participants aged 40 and above diagnosed with cancer were classified into low GNRI (\u003C98) and high GNRI (≥98) groups based on nutritional status.",{"name":70,"@type":61,"acceptedAnswer":71},"What statistical approaches were used to evaluate mortality risk?",{"text":72,"@type":64},"Kaplan-Meier survival analysis compared survival across nutritional groups, while multivariable Cox regression estimated hazard ratios and 95% confidence intervals. Restricted cubic spline and subgroup analyses were used to test non-linear and robust associations.",{"name":74,"@type":61,"acceptedAnswer":75},"What do the results suggest about GNRI and mortality?",{"text":76,"@type":64},"After adjusting for confounders, higher GNRI was inversely associated with all-cause, cancer-specific, and non-cancer mortality. Restricted cubic spline modeling indicated statistically significant non-linear relationships between GNRI scores and mortality risk.","https://schema.org",{"og:url":32,"og:type":79,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":81,"canonical":32},"index,follow",{"doc_id":83,"site_id":7},330869,1790145701,{"code":4,"msg":86,"data":87},"success",[88,92,96,100,105,110,114,118,123,126,130],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},"Exam",70,"exam",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},5,"Comic",60,"comic",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},6,"Technology",50,"technology",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},"Healthcare",40,"healthcare",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":116,"slug":117},8,30,"research-report",{"id":119,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":121,"slug":122},9,"Religion & Spirituality",20,"religion-spirituality",{"id":121,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":121,"slug":125},"World Cup","world-cup",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":127,"slug":129},10,"Lifestyle","lifestyle",{"id":131,"doc_module":4,"doc_module_name":25,"category_name":132,"show_sort_weight":101,"slug":133},19,"General","general",{"code":4,"msg":86,"data":135},{"doc_id":83,"user_id":136,"nickname":42,"user_avatar":137,"doc_module":4,"category_id":115,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":143,"language":144,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":12,"update_tm":148,"read_time":149,"preview_page_count":4},5909877438554,"https://ap-avatar.wpscdn.com/avatar/5600025385ad2bf12a7?_k=1778553567797529272","TYPE Original Research PUBLISHED 11 June 2024  \nDOI 10.3389/fonc.2024.1399957  \nOPEN ACCESS  \nEDITED BY Peng Liu,  \nSun Yat-sen University, China  \nREVIEWED BY Ziling Mao,  \nUniversity of Pittsburgh, United States Xiangliang Liu,  \nThe First Hospital of Jilin University, China  \n*CORRESPONDENCE Li Tao  \n [taoli20121228@163.com](taoli20121228@163.com)  \nRECEIVED 12 March 2024  \nACCEPTED 27 May 2024  \nPUBLISHED 11 June 2024  \nCITATION  \nQiu X, Wu Q, Zhang Y, Zhu Y, Yang M and Tao L (2024) Geriatric  \nnutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors: NHANES 2001–2018.  \nFront. Oncol. 14:1399957 .  \ndoi: 10.3389/fonc.2024.1399957  \nCOPYRIGHT  \n© 2024 Qiu, Wu, Zhang, Zhu, Yang and Tao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nGeriatric nutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors: NHANES 2001–2018  \nXiuxiu Qiu 1, Qidong Wu 2, Yiyi Zhang 2, Yingjie Zhu 1, Ming Yang 3 and Li Tao 1*  \n1 Department of Oncology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 2 Department of Intensive Care Unit, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China, 3 Department of Good Clinical Practice (GCP), Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China  \nBackground: Malnutrition is strongly correlated with worsened treatment outcomes, reduced standard of living, and heightened mortality rates among individuals with cancer. Our research explores how the Geriatric Nutritional Risk Index (GNRI), a measure of nutritional status, relates to all-cause mortality, cancer-specific, and non-cancer mortality among middle-aged and older adult cancer patients.  \nMethods: We enrolled 3,253 participants aged 40 and above who were diagnosed with cancer. The data was obtained from the National Health and Nutrition Examination Survey (NHANES) dataset covering the period from 2001 to 2018, with a median follow-up duration of 83 months. According to the GNRI levels, patients in the study were classified into two distinct groups: the group with a low GNRI (\u003C98) and the group with a high GNRI (≥ 98) . We conducted a Kaplan-Meier survival analysis to assess how survival rates vary with different nutritional conditions. Multivariable Cox regression analyses were performed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause mortality, as well as cancer-specific and non-cancer-related mortality. Restricted cubic spline (RCS) analyses and subgroup evaluations were performed to augment the robustness and validity of our findings.  \nResults: A total of 1,171 deaths were documented, with 383 attributed to cancer, and 788 from other causes. After adjusting for potential confounders, the analysis demonstrated that, within a specified range, an elevation in the GNRI is inversely associated with mortality from all causes, cancer-specific, and non-cancer causes. Moreover, Kaplan-Meier survival curves for all-cause, cancer-specific, and non-cancer mortality distinctly showed a more pronounced decrease in survival rates among individuals in the low GNRI group (\u003C98) . Notably, the restricted cubic spline regression model (RCS) revealed statistically significant non-linear associations between GNRI scores and mortality rates. The P-values were ≤0 . 001 for both all-cause and non-cancer mortality, and 0 . 024 for cancerspecific mortality.  \nFrontiers in Oncology 01 [frontiersin.org](frontiersin.org)  \nConclusion: Our study conclusively demonstrated a ro","cbCaiq1ZCoeZLn04","https://ap.wps.com/l/cbCaiq1ZCoeZLn04","pdf",2065651,13,"English","# Background\n# Methods\n# Results\n# Conclusion\n# Introduction","[{\"question\":\"What is the main purpose of this study?\",\"answer\":\"To assess the relationship between the Geriatric Nutritional Risk Index (GNRI) and mortality outcomes (all-cause, cancer-specific, and non-cancer) in U.S. cancer survivors using NHANES data from 2001–2018.\"},{\"question\":\"How were participants grouped in the analysis?\",\"answer\":\"Participants aged 40 and above diagnosed with cancer were classified into low GNRI (\\u003c98) and high GNRI (≥98) groups based on nutritional status.\"},{\"question\":\"What statistical approaches were used to evaluate mortality risk?\",\"answer\":\"Kaplan-Meier survival analysis compared survival across nutritional groups, while multivariable Cox regression estimated hazard ratios and 95% confidence intervals. Restricted cubic spline and subgroup analyses were used to test non-linear and robust associations.\"},{\"question\":\"What do the results suggest about GNRI and mortality?\",\"answer\":\"After adjusting for confounders, higher GNRI was inversely associated with all-cause, cancer-specific, and non-cancer mortality. Restricted cubic spline modeling indicated statistically significant non-linear relationships between GNRI scores and mortality risk.\"}]","Geriatric nutritional risk index and mortality from all-cause, cancer, and non-cancer in US cancer survivors - NHANES 2001-2018 | PDF",1789990574,33]