ArticleTranslational cancer research2021
A visual model for prognostic estimation in patients with primary diffuse large B-cell lymphoma of small intestine and colon: analysis of 1,613 cases from the SEER database.
Article in Translational cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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9 citing papers in PubMed, 8 citations in OpenAlex.
- Anatomical laterality of primary intestinal diffuse large B-cell lymphoma independently stratifies survival: New prognostic nomogram incorporating tumor location.World journal of gastroenterology · 2026Article
- Machine learning-driven dynamic prognosis for primary colorectal lymphoma.Scientific reports · 2026Article
- Clinical characteristics and long-term prognosis of primary mucosa-associated lymphoid tissue lymphoma and diffuse large B-cell lymphoma in the small intestine.Translational cancer research · 2025Article
- A comprehensive analysis of B symptoms reveals prognosis and heterogeneity across different sites of diffuse large B-cell lymphoma.Annals of hematology · 2025Article
- Gastrointestinal diffuse large B-cell lymphoma: Clinical characteristics and prognostic analysis from SEER database.Biomolecules & biomedicine · 2025Article
- Location-specific analysis of clinicopathological characteristics and long-term prognosis of primary gastrointestinal diffuse large B-cell lymphoma.Scientific reports · 2025Article
- Primary intestinal diffuse large B-cell lymphoma: novel insights and clinical perception.Frontiers in oncology · 2024Article
- Benefits of Dynamic Nomogram Models for Elderly Diffuse Large B-Cell Lymphoma Patients' Early Death Prediction and Clinical Application.Mediators of inflammation · 2023Article
- A New Staging System Based on the Dynamic Prognostic Nomogram for Elderly Patients With Primary Gastrointestinal Diffuse Large B-Cell Lymphoma.Frontiers in medicine · 2022Article
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4 authors at 2 institutions in 1 country.
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Abstract
backgroundTreatment modalities for primary diffuse large B-cell lymphoma of Small intestine and colon (PIC-DLBCL) have changed significantly during the past decades. However, limited information on the trends of clinical outcome of PIC-DLBCL patients has been reported, and the influence of marital status and medical insurance on prognosis is ignored.
methodsThis was a retrospective analysis the survival of PIC-DLBCL patients using the Surveillance, Epidemiology, and End Results (SEER) database between 2002 and 2016. The patients were divided into the training and validation cohort. In the training cohort, univariate and multivariable Cox regression analysis, Log-rank test and the Kaplan-Meier method were used to find out the independent prognostic factors, from which the visual prognostic model (nomogram and graphical web page) was established. C-index and calibration plots were used to evaluate the prediction accuracy of the model. In the validation cohort, both Decision curve analysis (DCA) and Receiver operating characteristic (ROC) curve was performed to compare the model with the International Prognostic Index (IPI) scoring model which is universally used to estimate prognosis of PIC-DLBCL.
resultsA total of 1,613 patients were collected, and the 5-year overall survival of all cases was 64.5%. Age at diagnosis (HR =2.58, 95% CI: 2.29-2.91), Ann Arbo stage (HR =1.34, 95% CI: 1.24-1.44), Divorced or Separated (HR=1.21, 95% CI: 1.06-1.38), Uninsured (HR =1.32, 95% CI: 1.19-1.45) and Primary colon (HR =1.23, 95% CI: 1.08-1.40) were associated with prognosis and were used to build up the visual model (nomogram and graphical web page). Both DCA and ROC curve showed that the model had better authentication capability than the IPI scoring model (AUC 0.820
conclusionsThe visual model could output individual estimate prognosis simply and correctly, including marital status and medical insurance for the first time. Consideration of both medical and social factors, this study provided a new way to explore the improving prognosis of PIC-DLBCL.
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