Nomogram Prediction for Gastric Cancer Development
Rattachement africain : kr, Éthiopie. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
INTRODUCTION: Helicobacter pylori ( Hp ) and gastric atrophy represent significant risk factors for gastric cancer (GC). Nevertheless, to date, no nomogram has been developed to predict GC based on the specific combination of risk factors present in individual cases. METHODS: A retrospective cohort study was conducted using health screening data collected between 2003 and 2018. Subjects with positive results for anti- Hp antibody were enrolled. Individuals were classified into 4 groups: low-B (low titer without atrophy), high-B (high titer without atrophy), high-C (high titer with atrophy), and low-C (low titer with atrophy). Nomogram prediction models were developed for overall GCs as well as intestinal and diffuse cancers, with each type considered a competing event, by using both Cox proportional and subdistribution hazard models. Prediction performance was evaluated using the concordance index (c-index) and the area under the curve through 10-fold cross-validation. RESULTS: During a median follow-up period of 5.7 years, 231 new GC cases developed among the total cohort of 28,311 subjects, including 159 intestinal type, 68 diffuse type, and 4 cases of unknown type. Multivariable analyses indicated that age, body mass index, family history, smoking, and classification into the high-C or low-C group were significant predictors of GC. The nomograms for intestinal type, diffuse type, and total GC demonstrated area under the curve values of 0.82, 0.62, and 0.75, respectively, and c-indices of 0.85, 0.54, and 0.76, respectively. DISCUSSION: The nomograms for GC prediction would be useful in identifying high-risk individuals, particularly for intestinal type. This would facilitate the implementation of personalized eradication and intensive screening strategies to target those at higher risk for GC.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Nomogram Prediction for Gastric Cancer Development
- Date Crossref
- 10/03/2025
- Éditeur
- Ovid Technologies (Wolters Kluwer Health)
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Seoul National University Department of Internal Medicine and Liver Research Institute pays non établi dans la noticeUniversité ou école supérieure
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New Generation University College Éthiopie (code pays fourni par la source)Université ou école supérieure
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Seoul National University Hospital pays non établi dans la noticeÉtablissement de santé
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National Medical Center pays non établi dans la noticeOrganisme public
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Joo Hyun Lim and Areum Han have equally contributed to this study pays non établi dans la noticeInstitution
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Institute of Health Policy and Management pays non établi dans la noticeStructure de recherche
Department of Internal Medicine and Liver Research Institute — Seoul National University, New Generation University College (Éthiopie) et Seoul National University Hospital, avec 3 autres affiliations. Pays d’affiliation : Éthiopie.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.