{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T18:00:18Z","timestamp":1791482418792,"version":"4.3.4"},"reference-count":40,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T00:00:00Z","timestamp":1744675200000},"content-version":"vor","delay-in-days":14,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J cachexia sarcopenia muscle"],"published-print":{"date-parts":[[2025,4]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Glioblastoma (GBM) is the most common primary malignant brain tumour in adults. Patients with GBM are particularly susceptible to moderate\u2010to\u2010high frail. Frailty status has been associated with the outcome of many types of cancer, including GBM, although there is still little consensus regarding the specific criteria for assessing frailty status. This study aimed to determine the predictive significance of the modified frailty score (mFS) in GBM patients using haematological and sarcopenia indicators.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Between January 2016 and September 2022, we enrolled 309 adult GBM patients. Data on demographics, haematological examination, and temporal muscle thickness (TMT) were collected and assessed. The prognostic relevance of the frailty parameters was established using Kaplan\u2013Meier and Cox proportional model. The scoring systems were created by integrating these indicators. Variables with independent prognostic values were used to construct the nomograms. Nomogram accuracy was evaluated using the calibration curve, Harrell's concordance index (C\u2010index), and time\u2010dependent receiver operating characteristic curves. Clinical practicality was assessed using decision curve analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      The baseline characteristics of the 309 participants revealed a median age of 59\u2009years (interquartile range 52\u201366) with a predominance of male patients (58.58%). TMT (hazard ratio [HR]\u2009=\u20093.787, 95% confidence interval [CI] 2.576\u20135.566,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001), prognostic nutritional index (HR\u2009=\u20091.722, 95% CI 1.098\u20132.703,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.018), and mean corpuscular volume (HR\u2009=\u20091.958, 95% CI 1.111\u20133.451,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.020) were identified as independent prognostic markers. The constructed mFS, obtained by integrating these three indices, exhibited independent prognostic significance (HR\u2009=\u20092.461, 95% CI 1.751\u20133.457,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.001). The patients in the low\u2010risk group had a median overall survival (OS) of 13.9\u2009months, while the patients in the high risk had a median OS of 5.8\u2009months. Importantly, the mFS demonstrated significant independent prognostic value in the subgroup aged &gt;\u200965 (HR\u2009=\u20091.822, 95% CI 1.011\u20133.284,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.046). The nomogram, which included the mFS, demonstrated high accuracy, with a c\u2010index of 0.781. The nomogram bootstrapped calibration plot also performed well compared to the ideal model. Nomograms showed promising discriminative potential, with time\u2010dependent areas under the curves of 0.945, 0.835, and 0.820 for 0.5\u2010, 1\u2010, and 2\u2010year overall survival prediction, respectively.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Preoperative mFS is a comprehensive frailty marker for predicting survival outcomes in patients with GBM. A dynamic nomogram incorporating the mFS may facilitate preoperative survival evaluation. Early and appropriate multimodal interventions, including nutritional support, rehabilitation, and psychological care, may help in the neurosurgical care of patients with GBM or other brain tumours.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/jcsm.13809","type":"journal-article","created":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T21:32:26Z","timestamp":1744752746000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Comprehensive Evaluation of Frailty and Sarcopenia Markers to Predict Survival in Glioblastoma Patients"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4181-5356","authenticated-orcid":false,"given":"Chao","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Neurosurgery Zhongnan Hospital of Wuhan University  Wuhan 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China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ze\u2010Fen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Physiology Wuhan University School of Basic Medical Sciences  Wuhan China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhi\u2010Qiang","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery Zhongnan Hospital of Wuhan University  Wuhan China"},{"name":"Department of Clinical Nutrition Zhongnan Hospital of Wuhan University  Wuhan 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