ArticleBMC cancer2021
Nomogram to predict survival of patients with advanced and metastatic pancreatic Cancer.
Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- An interpretable machine learning model for predicting survival in pancreatic cancer via SHAP: a multicenter study.Journal of gastroenterology · 2026Article
- RBM43 promotes glioma aggressiveness and shapes the immune microenvironment through macrophage polarization.Discover oncology · 2026Article
- Prognostic prediction nomogram of elderly patients with metastasis colon cancer and distant metastasis pattern: a SEER database analysis.Translational cancer research · 2025Article
- Serum microRNA-24-based nomogram predicts prognosis for patients with resected pancreatic cancer.Scientific reports · 2025Article
- Establishment of a nomogram based on Lasso Cox regression for albumin combined with systemic immune-inflammation index score to predict prognosis in advanced pancreatic carcinoma.Frontiers in oncology · 2025Article
- Construction and validation of prognostic models for young cervical cancer patients: age stratification based on restricted cubic splines.Scientific reports · 2024Article
- Meaningful nomograms based on systemic immune inflammation index predicted survival in metastatic pancreatic cancer patients receiving chemotherapy.Cancer medicine · 2024Article
- Construction and validation of a nomogram for cancer specific survival of postoperative pancreatic cancer based on the SEER and China database.BMC gastroenterology · 2024Article
- Survival nomograms for simultaneous resection of primary and hepatic lesions without neoadjuvant chemotherapy in patients with resectable colorectal liver metastasis.Cancer innovation · 2023Article
- A population-based nomogram to individualize treatment modality for pancreatic cancer patients underlying surgery.Scientific reports · 2023Article
- Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC.Translational oncology · 2023Article
- LASSO-derived prognostic model predicts cancer-specific survival in advanced pancreatic ductal adenocarcinoma over 50 years of age: a retrospective study of SEER database research.Frontiers in oncology · 2023Article
- Multimodal survival prediction in advanced pancreatic cancer using machine learning.ESMO open · 2022Article
- Who could complete and benefit from the adjuvant chemotherapy regarding pancreatic ductal adenocarcinoma? A multivariate-adjusted analysis at the pre-adjuvant chemotherapy timing.Cancer medicine · 2022Article
- Construction of a nomogram to predict the survival of metastatic gastric cancer patients that received immunotherapy.Frontiers in immunology · 2022Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNomograms are rarely employed to estimate the survival of patients with advanced and metastatic pancreatic cancer (PC). Herein, we developed a comprehensive approach to using a nomogram to predict survival probability in patients with advanced and metastatic PC.
methodsA total of 323 patients with advanced and metastatic PC were identified from the Chinese People's Liberation Army (PLA) General Hospital. A baseline nomogram was constructed using baseline variables of 323 patients. Additionally, 233 patients, whose tumors showed initial responses to first-line chemotherapy, were enrolled in the chemotherapy response-based model. 128 patients and 108 patients with advanced and metastatic PC from January 2019 to April 2021 were selected for external validating baseline model and chemotherapy response-based model. The 1-year and 2-year survival probability was evaluated using multivariate COX regression models. The discrimination and calibration capacity of the nomograms were assessed using C-statistic and calibration plots. The predictive accuracy and net benefit of the nomograms were evaluated using ROC curve and DCA, respectively.
resultsIn the baseline model, six variables (gender, KPS, baseline TB, baseline N, baseline WBC and baseline CA19-9) were used in the final model. In the chemotherapy response-based model, nine variables (KPS, gender, ascites, baseline N, baseline CA 19-9, baseline CEA, change in CA 19-9 level at week, change in CEA level at week and initial response to chemotherapy) were included in the final model. The C-statistics of the baseline nomogram and the chemotherapy response-based nomogram were 0.67 (95% CI, 0.62-0.71) and 0.74 (95% CI, 0.69-0.77), respectively.
conclusionThese nomograms were constructed to predict the survival probability of patients of advanced and metastatic PC. The baseline model and chemotherapy response-based model performed well in survival prediction.
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