Pancreatic Ductal Adenocarcinoma
Conditions
Keywords
pancreatic ductal adenocarcinoma, elderly, treatment abandonment, relative weight analysis
Brief summary
More and more older adults are diagnosed with pancreatic ductal adenocarcinoma (PDAC), but the rate of surgical resection in patients with resectable tumour is still low. Clinical workers need to take more attention to oncologic care in this group. It's significant to explore potential predictors for impacting elderly patients chose to abandon surgical resection.
Detailed description
The incidence of pancreatic ductal adenocarcinoma (PDAC) in the elderly has been on the rise, but the elderly were always neglected in clinical oncology care. Pancreatic ductal adenocarcinoma is a lethal disease, and the most effective treatment for curing it remains the radical resection. Unfortunately, there are many a study had reported that the rate of radical surgery of patients with PDAC has been low in the past decade. In order for more elderly pancreatic cancer patients to undergo surgical resection, investigators extracted the data of elderly patients with PDAC from SEER program and investigated predictive factors associated with surgical resection abandonment. In this study, investigators extracted data of patients older than 75 years diagnosed with T1-T3 stage PDAC to investigate rate of radical surgery. And researchers used Univariate and multivariate logistic regression model to explore potential factors associated with patients and surgeon chose to abandon surgical resection.
Interventions
Researchers want to investigate some important factors that influence elderly patients not to undergo radical surgery.
Sponsors
Study design
Eligibility
Inclusion criteria
1. patients older than 75 years old and were diagnosed with pancreatic ductal adenocarcinoma by positive histology. 2. Patients were diagnosed with T1 through T3, M0 tumor based on criteria of TNM stage.
Exclusion criteria
1. Patients were diagnosed by death certificate. 2. Patients died before radical surgery. 3. Patients with important data missing, such as T-stage, surgical resection status, surgery procedures and complete survival time.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| ORs of potential predictors | months from diagnosis to surgical resection, up to 12 months | Univariate and multivariate logistic regression model were used to calculate ORs |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Overall survival (OS) | up to 132 months | The date of definite diagnosis to death or last follow up |
Countries
China