Wangxiang Mai , Yuting Tang , Weiyi He , Changsen Zhu , Bing Feng , Jun Lyu , Zhuoming Chen
{"title":"成年弥漫性中线胶质瘤患者预后柱状图形模型的建立与评价。","authors":"Wangxiang Mai , Yuting Tang , Weiyi He , Changsen Zhu , Bing Feng , Jun Lyu , Zhuoming Chen","doi":"10.1016/j.wneu.2025.123901","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>To explore the prognostic factors of adult patients with diffuse midline glioma (DMG), and to further construct and evaluate prognostic columnar graphic models to provide some reference for the clinical management of this group of patients.</div></div><div><h3>Methods</h3><div>We included adult patients with histologically confirmed DMG from the SEER (Surveillance Epidemiology and End Results) database (2004–2015), dividing them into training and validation sets (7:3 ratio). Using Kaplan-Meier and Cox regression analyses, we determined independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS). Prognostic column-line graphic models were developed for OS and CSS, incorporating patient demographics and clinical characteristics. The models underwent internal and external validation, with performance assessed using the Concordance Index, area under the curve values, and calibration plots.</div></div><div><h3>Results</h3><div>The study encompassed 226 patients, showing age, tumor extension, and World Health Organization grades as significant prognostic factors. The constructed models for OS and CSS showed moderate reliability and predictive accuracy, with Concordance Index values of 0.786 (OS) and 0.79 (CSS) in the training set and 0.743 (OS) and 0.787 (CSS) in the validation set. Calibration plots and decision curve analysis confirmed the clinical usefulness of the models.</div></div><div><h3>Conclusions</h3><div>The column-line graphic prediction models for OS and CSS have moderately reliable predictive efficacy and help clinicians to better assess the prognosis and provide individualized treatment options for adults with DMG.</div></div>","PeriodicalId":23906,"journal":{"name":"World neurosurgery","volume":"197 ","pages":"Article 123901"},"PeriodicalIF":1.9000,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Construction and Evaluation of a Prognostic Columnar Graphic Model for Adult Patients with Diffuse Midline Gliomas\",\"authors\":\"Wangxiang Mai , Yuting Tang , Weiyi He , Changsen Zhu , Bing Feng , Jun Lyu , Zhuoming Chen\",\"doi\":\"10.1016/j.wneu.2025.123901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>To explore the prognostic factors of adult patients with diffuse midline glioma (DMG), and to further construct and evaluate prognostic columnar graphic models to provide some reference for the clinical management of this group of patients.</div></div><div><h3>Methods</h3><div>We included adult patients with histologically confirmed DMG from the SEER (Surveillance Epidemiology and End Results) database (2004–2015), dividing them into training and validation sets (7:3 ratio). Using Kaplan-Meier and Cox regression analyses, we determined independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS). Prognostic column-line graphic models were developed for OS and CSS, incorporating patient demographics and clinical characteristics. The models underwent internal and external validation, with performance assessed using the Concordance Index, area under the curve values, and calibration plots.</div></div><div><h3>Results</h3><div>The study encompassed 226 patients, showing age, tumor extension, and World Health Organization grades as significant prognostic factors. The constructed models for OS and CSS showed moderate reliability and predictive accuracy, with Concordance Index values of 0.786 (OS) and 0.79 (CSS) in the training set and 0.743 (OS) and 0.787 (CSS) in the validation set. Calibration plots and decision curve analysis confirmed the clinical usefulness of the models.</div></div><div><h3>Conclusions</h3><div>The column-line graphic prediction models for OS and CSS have moderately reliable predictive efficacy and help clinicians to better assess the prognosis and provide individualized treatment options for adults with DMG.</div></div>\",\"PeriodicalId\":23906,\"journal\":{\"name\":\"World neurosurgery\",\"volume\":\"197 \",\"pages\":\"Article 123901\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"World neurosurgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1878875025002578\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"World neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1878875025002578","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
Construction and Evaluation of a Prognostic Columnar Graphic Model for Adult Patients with Diffuse Midline Gliomas
Objective
To explore the prognostic factors of adult patients with diffuse midline glioma (DMG), and to further construct and evaluate prognostic columnar graphic models to provide some reference for the clinical management of this group of patients.
Methods
We included adult patients with histologically confirmed DMG from the SEER (Surveillance Epidemiology and End Results) database (2004–2015), dividing them into training and validation sets (7:3 ratio). Using Kaplan-Meier and Cox regression analyses, we determined independent prognostic factors for overall survival (OS) and cancer-specific survival (CSS). Prognostic column-line graphic models were developed for OS and CSS, incorporating patient demographics and clinical characteristics. The models underwent internal and external validation, with performance assessed using the Concordance Index, area under the curve values, and calibration plots.
Results
The study encompassed 226 patients, showing age, tumor extension, and World Health Organization grades as significant prognostic factors. The constructed models for OS and CSS showed moderate reliability and predictive accuracy, with Concordance Index values of 0.786 (OS) and 0.79 (CSS) in the training set and 0.743 (OS) and 0.787 (CSS) in the validation set. Calibration plots and decision curve analysis confirmed the clinical usefulness of the models.
Conclusions
The column-line graphic prediction models for OS and CSS have moderately reliable predictive efficacy and help clinicians to better assess the prognosis and provide individualized treatment options for adults with DMG.
期刊介绍:
World Neurosurgery has an open access mirror journal World Neurosurgery: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
The journal''s mission is to:
-To provide a first-class international forum and a 2-way conduit for dialogue that is relevant to neurosurgeons and providers who care for neurosurgery patients. The categories of the exchanged information include clinical and basic science, as well as global information that provide social, political, educational, economic, cultural or societal insights and knowledge that are of significance and relevance to worldwide neurosurgery patient care.
-To act as a primary intellectual catalyst for the stimulation of creativity, the creation of new knowledge, and the enhancement of quality neurosurgical care worldwide.
-To provide a forum for communication that enriches the lives of all neurosurgeons and their colleagues; and, in so doing, enriches the lives of their patients.
Topics to be addressed in World Neurosurgery include: EDUCATION, ECONOMICS, RESEARCH, POLITICS, HISTORY, CULTURE, CLINICAL SCIENCE, LABORATORY SCIENCE, TECHNOLOGY, OPERATIVE TECHNIQUES, CLINICAL IMAGES, VIDEOS