دورية أكاديمية

A hierarchical prognostic model for Co-diabetes pancreatic adenocarcinoma

التفاصيل البيبلوغرافية
العنوان: A hierarchical prognostic model for Co-diabetes pancreatic adenocarcinoma
المؤلفون: Zelong Wu, Chunsheng Liu, Zuyi Ma, Zhenchong Li, Shujie Wang, Yubin Chen, Mingqian Han, Shanzhou Huang, Qi Zhou, Chuanzhao Zhang, Baohua Hou
المصدر: Heliyon, Vol 9, Iss 11, Pp e21642- (2023)
بيانات النشر: Elsevier, 2023.
سنة النشر: 2023
المجموعة: LCC:Science (General)
LCC:Social sciences (General)
مصطلحات موضوعية: Co-diabetes pancreatic adenocarcinoma, Prealbumin, Transferrin, Nomogram, Overall survival, Prognostic hierarchical, Science (General), Q1-390, Social sciences (General), H1-99
الوصف: Background: Co-diabetes pancreatic adenocarcinoma has a poorer prognosis than pancreatic adenocarcinoma without diabetes. This study aimed to develop a reliable prognostic model for patients with co-diabetes pancreatic adenocarcinoma. Method: Overall, 169 patients with co-diabetes pancreatic adenocarcinoma were included in our study. First, the independent risk factors affecting the prognosis of patients with co-diabetes pancreatic adenocarcinoma were determined by univariate and multivariate Cox regression analyses. Based on these identified risk factors, we developed a nomogram and evaluated its predictive ability using the concordance index, receiver operating characteristic curve, calibration plot, decision curve, and net reclassification index. Results: In this study, prealbumin, transferrin, carcinoembryonic antigen, distant metastasis, tumor differentiation neutrophil count, lymphocyte count and fasting blood glucose were confirmed as significant prognostic factors. Based on these predictors, a new nomogram was developed. Compared with the American Joint Committee on Cancer 8 staging system and other models, the nomogram achieved a higher concordance index in the training (0.795) and validation (0.729) queues. The area under the nomogram's curve for predicting patient survival at 0.5, 1, and 1.5 years in the training queue was >0.8. Patients were risk-stratified using the nomogram, and Kaplan–Meier survival curves of subgroups were plotted. The Kaplan–Meier curve also showed better separation than the American Joint Committee on Cancer 8 staging system, indicating that our model has a better risk hierarchical ability. Conclusions: Compared to the American Joint Committee on Cancer 8 staging system and other predictive models, our model showed better predictive ability for patients with co-diabetes pancreatic adenocarcinoma. Our model will help in patients’ risk stratification and improves their prognosis.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2405-8440
العلاقة: http://www.sciencedirect.com/science/article/pii/S2405844023088503Test; https://doaj.org/toc/2405-8440Test
DOI: 10.1016/j.heliyon.2023.e21642
الوصول الحر: https://doaj.org/article/be60d181e9684aeb85363e1ec3a1c7c7Test
رقم الانضمام: edsdoj.be60d181e9684aeb85363e1ec3a1c7c7
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:24058440
DOI:10.1016/j.heliyon.2023.e21642