{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,29]],"date-time":"2025-11-29T11:01:17Z","timestamp":1764414077550,"version":"3.40.5"},"reference-count":40,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2024,4,21]],"date-time":"2024-04-21T00:00:00Z","timestamp":1713657600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2017YFC1309200"],"award-info":[{"award-number":["2017YFC1309200"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81673167"],"award-info":[{"award-number":["81673167"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2024,6]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Body weight and its changes have been associated with cancer outcomes. However, the associations of short\u2010term peridiagnosis weight dynamics in standardized, clinically operational time frames with cancer survival remain largely unknown. This study aimed to screen for and evaluate the optimal indicator of short\u2010term peridiagnosis weight dynamics to predict overall survival (OS) in patients with cancer.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>This multicentre cohort study prospectively collected data from 7460 patients pathologically diagnosed with cancer between 2013 and 2019. Body weight data were recorded 1\u00a0month before, at the time of and 1\u00a0month following diagnosis. By permuting different types (point value in kg, point height\u2010adjusted value in kg\/m<jats:sup>2<\/jats:sup>, absolute change in kg or relative change in percentage) and time frames (prediagnosis, postdiagnosis or peridiagnosis), we generated 12 different weight\u2010related indicators and compared their prognostic performance using Harrell's C\u2010index, integrated discrimination improvement, continuous net reclassification improvement and time\u2010dependent C\u2010index. We analysed associations of peridiagnosis relative weight change (RWC) with OS using restricted cubic spine (RCS), Kaplan\u2013Meier analysis and multivariable\u2010adjusted Cox regression models.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The study enrolled 5012 males and 2448 females, with a median age of 59\u00a0years. During a median follow\u2010up of 37\u00a0months, 1026 deaths occurred. Peridiagnosis (1\u00a0month before diagnosis to 1\u00a0month following diagnosis) RWC showed higher prognostic performance (Harrell's C\u2010index\u00a0=\u00a00.601, 95% confidence interval [CI]\u00a0=\u00a0[0.583, 0.619]) than other types of indicators including body mass index (BMI), absolute weight change, absolute BMI change, prediagnosis RWC and postdiagnosis RWC in the study population (all <jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.05). Time\u2010dependent C\u2010index analysis also indicated that peridiagnosis RWC was optimal for predicting OS. The multivariable\u2010adjusted RCS analysis revealed an N\u2010shaped non\u2010linear association between peridiagnosis RWC and OS (<jats:italic>P<\/jats:italic><jats:sub><jats:italic>RWC<\/jats:italic><\/jats:sub>\u00a0&lt;\u00a00.001, <jats:italic>P<\/jats:italic><jats:sub><jats:italic>non\u2010linear<\/jats:italic><\/jats:sub>\u00a0&lt;\u00a00.001). Univariate survival analysis showed that the peridiagnosis RWC groups could represent distinct mortality risk stratifications (<jats:italic>P<\/jats:italic>\u00a0&lt;\u00a00.001). Multivariable survival analysis showed that, compared with the maintenance group (weight change\u00a0&lt;\u00a05%), the significant (gain &gt;10%, hazard ratio [HR]\u00a0=\u00a00.530, 95% CI\u00a0=\u00a0[0.413, 0.680]) and moderate (gain 5\u201310%, HR\u00a0=\u00a00.588, 95% CI\u00a0=\u00a0[0.422, 0.819]) weight gain groups were both associated with improved OS. In contrast, the moderate (loss 5\u201310%, HR\u00a0=\u00a01.219, 95% CI\u00a0=\u00a0[1.029, 1.443]) and significant (loss &gt;10%, HR\u00a0=\u00a01.280, 95% CI\u00a0=\u00a0[1.095, 1.497]) weight loss groups were both associated with poorer OS.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>The prognostic performance of peridiagnosis RWC is superior to other weight\u2010related indicators in patients with cancer. The findings underscore the importance of expanding the surveillance of body weight from at diagnosis to both past and future, and conducting it within\u00a0clinically operational time frames, in order to identify and intervene with patients who are at risk of weight change\u2010related premature deaths.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jcsm.13467","type":"journal-article","created":{"date-parts":[[2024,4,22]],"date-time":"2024-04-22T04:19:51Z","timestamp":1713759591000},"page":"1177-1186","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the optimal indicator of short\u2010term peridiagnosis weight dynamics to predict cancer survival: A multicentre cohort study"],"prefix":"10.1002","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8876-2680","authenticated-orcid":false,"given":"Liangyu","family":"Yin","sequence":"first","affiliation":[{"name":"Department of Clinical Nutrition Daping Hospital, Army Medical University (Third Military Medical University)  Chongqing China"},{"name":"Department of Nephrology, the Key Laboratory for the Prevention and Treatment of Chronic Kidney Disease of Chongqing, Chongqing Clinical Research Center of Kidney and Urology Diseases Xinqiao Hospital, Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Clinical Nutrition Daping Hospital, Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Long","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Clinical Nutrition Daping Hospital, Army Medical University (Third Military Medical University)  Chongqing China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of General Surgery The Second Affiliated Hospital of Harbin Medical University  Harbin China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jin","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Traditional Chinese Medicine Tangdu Hospital, Air Force Medical University (The Fourth Military Medical University)  Xi'an China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aiguo","family":"Xu","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Care Medicine The First Affiliated Hospital of Zhengzhou University  Zhengzhou China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Quanjun","family":"Lyu","sequence":"additional","affiliation":[{"name":"Department of Nutrition The First Affiliated Hospital of Zhengzhou University  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