Epidemiology of pancreatic cancer in France: descriptive study from the French national hospital database

Maire, Frédérique; Cibot, Jean-Olivier; Compagne, Catherine; Hentic, Olivia; Hammel, Pascal; Muller, Nelly; Ponsot, Philippe; Lévy, Philippe; Ruszniewski, Philippe

doi:10.1097/meg.0000000000000901

Cited by 16 publications

(7 citation statements)

References 31 publications

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“…In 2017, Maire et al described data issued from the French national hospital discharge summaries database system (Programme de Médicalisation des Systèmes d'Information: PMSI). They confirmed an increase of the national incidence between 2010 and 2014, as observed worldwide, and revealed a disparity in the access to care throughout the different regions of France and within the regions themselves [13]. Moreover, hospital-related characteristics (hospital facility type and hospital/surgeon volume) could impact on overall survival in patients with localized PDAC [14][15][16].…”

Section: Introductionsupporting

confidence: 58%

Management of Patients with Pancreatic Ductal Adenocarcinoma in the Real-Life Setting: Lessons from the French National Hospital Database

Fouchardière

Adham

Marion-Audibert³

et al. 2021

Cancers

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Pancreatic ductal adenocarcinoma (PDAC) remains a major public health challenge, and faces disparities and delays in the diagnosis and access to care. Our purposes were to describe the medical path of PDAC patients in the real-life setting and evaluate the overall survival at 1 year. We used the national hospital discharge summaries database system to analyze the management of patients with newly diagnosed PDAC over the year 2016 in Auvergne-Rhône-Alpes region (AuRA) (France). A total of 1872 patients met inclusion criteria corresponding to an incidence of 22.6 per 100,000 person-year. Within the follow-up period, 353 (18.9%) were operated with a curative intent, 743 (39.7%) underwent chemo- and/or radiotherapy, and 776 (41.4%) did not receive any of these treatments. Less than half of patients were operated in a high-volume center, defined by more than 20 PDAC resections performed annually, mainly university hospitals. The 1-year survival rate was 47% in the overall population. This study highlights that a significant number of patients with PDAC are still operated in low-volume centers or do not receive any specific oncological treatment. A detailed analysis of the medical pathways is necessary in order to identify the medical and territorial determinants and their impact on the patient’s outcome.

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Section: Introductionsupporting

confidence: 58%

Management of Patients with Pancreatic Ductal Adenocarcinoma in the Real-Life Setting: Lessons from the French National Hospital Database

Fouchardière

Adham

Marion-Audibert³

et al. 2021

Cancers

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“…The liver is the most common metastasis site, accounting for 37-41.9% of the initially diagnosed cases [ 3 , 4 ]. Moreover, more than 60% of the patients that undergo tumor resection relapse with distant liver recurrence within the first 24 months after surgery [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study

Bai

Xing

et al. 2022

Disease Markers

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Background. A more accurate prediction of liver metastasis (LM) in pancreatic cancer (PC) would help improve clinical therapeutic effects and follow-up strategies for the management of this disease. This study was to assess various prediction models to evaluate the risk of LM based on machine learning algorithms. Methods. We retrospectively reviewed clinicopathological characteristics of PC patients from the Surveillance, Epidemiology, and End Results database from 2010 to 2018. The logistic regression, extreme gradient boosting, support vector, random forest (RF), and deep neural network machine algorithms were used to establish models to predict the risk of LM in PC patients. Specificity, sensitivity, and receiver operating characteristic (ROC) curves were used to determine the discriminatory capacity of the prediction models. Results. A total of 47,919 PC patients were identified; 15,909 (33.2%) of which developed LM. After iterative filtering, a total of nine features were included to establish the risk model for LM based on machine learning. The RF showed the most promising results in the prediction of complications among the models (ROC 0.871 for training and 0.832 for test sets). In risk stratification analysis, the LM rate and 5-year cancer-specific survival (CSS) in the high-risk group were worse than those in the intermediate- and low-risk groups. Surgery, radiotherapy, and chemotherapy were found to significantly improve the CSS in the high- and intermediate-risk groups. Conclusion. In this study, the RF model constructed could accurately predict the risk of LM in PC patients, which has the potential to provide clinicians with more personalized clinical decision-making recommendations.

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“…Surgical resection and chemotherapy were the main treatment for pancreatic cancer 9 . However, nearly half of the patients had distant metastasis at the time of initial diagnosis, thus losing the opportunity for surgery [10][11][12] . The value of chemotherapy is still unclear due to the lack of high-quality clinical evidence and large samples of multicenter clinical studies.…”

Section: Introductionmentioning

confidence: 99%

Effect of chemotherapy on prognosis in patients with primary pancreatic signet ring cell carcinoma

Huang

Yuan

Jiang

et al. 2023

Preprint

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Objective Primary pancreatic signet ring cell carcinoma (PSRCC) is an extremely rare histologic variant of pancreatic cancer with a worse prognosis. The present study aimed to investigate the prognostic value of chemotherapy for patients with PSRCC.Methods Patients with PSRCC between 2000 and 2019 were identified Using the Surveillance Epidemiology and End Results (SEER) database. The main outcomes in our study were cancer-specific survival (CSS) and overall survival (OS). Patient baseline characteristics were compared using Pearson’s chi-square test. Kaplan-Meier analysis was used to generate the survival curves. Least absolute shrinkage and selection operator (lasso) as well as univariate and multivariate Cox regression models were used to analyze the prognostic variables on OS and CSS.Results A total of 588 patients with PSRCC were identified. Chemotherapy was an independent prognostic factor for OS and CSS, and significantly associated with OS (HR = 0.33, 95% CI = 0.27–0.40, P < 0.001) and CSS (HR = 0.32, 95% CI = 0.26–0.39, P < 0.001).Conclusions Patients with PSRCC can benefit from chemotherapy, so it should be recommended to patients with PSRCC, especially those not suitable for surgery.

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Epidemiology of pancreatic cancer in France: descriptive study from the French national hospital database

Abstract: Approximately 13 350 new cases of pancreatic cancer were observed in France in 2014. The increase in incidence was associated with a marked increase in hospital stays for chemotherapy.

Cited by 16 publications

References 31 publications

Management of Patients with Pancreatic Ductal Adenocarcinoma in the Real-Life Setting: Lessons from the French National Hospital Database

Management of Patients with Pancreatic Ductal Adenocarcinoma in the Real-Life Setting: Lessons from the French National Hospital Database

Risk Assessment of Liver Metastasis in Pancreatic Cancer Patients Using Multiple Models Based on Machine Learning: A Large Population-Based Study

Effect of chemotherapy on prognosis in patients with primary pancreatic signet ring cell carcinoma

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