Development and validation of a novel nomogram for predicting survival rate in pancreatic neuroendocrine neoplasms. (2nd January 2022)
- Record Type:
- Journal Article
- Title:
- Development and validation of a novel nomogram for predicting survival rate in pancreatic neuroendocrine neoplasms. (2nd January 2022)
- Main Title:
- Development and validation of a novel nomogram for predicting survival rate in pancreatic neuroendocrine neoplasms
- Authors:
- Liao, Tianbao
Su, Tingting
Huang, Lina
Li, Bixun
Feng, Lu-Huai - Abstract:
- Abstract: Background: Over the past decades, the incidence and prevalence of pancreatic neuroendocrine neoplasms (pNENs) have steadily increased. However, accurate prediction of the prognosis and treatment of this condition are currently challenging. This study aims to develop and validate a personalized nomogram to predict the survival of patients with pNENs. Materials and methods: A total of 9739 patients with pNENs were downloaded from the Surveillance, Epidemiology, and End Results (SEER) database. Subsequently, the patients were randomly assigned to a derivation cohort ( n = 6874) and a validation cohort ( n = 2865). The survival of patients was assessed using the Cox proportional hazards (PHs) regression analysis. Then, the nomogram that predicted 3-and 5-year survival rates were developed in the derivation cohort. Further, the predictive performance of the nomogram was evaluated through discrimination and calibration. Results: The Cox regression analysis revealed that age, differentiation, the extent of tumor, M staging, and surgery were independent prognostic predictors for pNENs. The nomogram showed superior discrimination capability than AJCC staging in both derived and validation cohorts (C-index: 0.874 versus 0.721 and 0.833 versus 0.721). The calibration curves showed that the practical and predicted survival rates effectively coincided, specifically for the 3-year survival rate. Conclusion: Our nomogram is a valuable tool for the prediction of the survivalAbstract: Background: Over the past decades, the incidence and prevalence of pancreatic neuroendocrine neoplasms (pNENs) have steadily increased. However, accurate prediction of the prognosis and treatment of this condition are currently challenging. This study aims to develop and validate a personalized nomogram to predict the survival of patients with pNENs. Materials and methods: A total of 9739 patients with pNENs were downloaded from the Surveillance, Epidemiology, and End Results (SEER) database. Subsequently, the patients were randomly assigned to a derivation cohort ( n = 6874) and a validation cohort ( n = 2865). The survival of patients was assessed using the Cox proportional hazards (PHs) regression analysis. Then, the nomogram that predicted 3-and 5-year survival rates were developed in the derivation cohort. Further, the predictive performance of the nomogram was evaluated through discrimination and calibration. Results: The Cox regression analysis revealed that age, differentiation, the extent of tumor, M staging, and surgery were independent prognostic predictors for pNENs. The nomogram showed superior discrimination capability than AJCC staging in both derived and validation cohorts (C-index: 0.874 versus 0.721 and 0.833 versus 0.721). The calibration curves showed that the practical and predicted survival rates effectively coincided, specifically for the 3-year survival rate. Conclusion: Our nomogram is a valuable tool for the prediction of the survival rate for patients with pNENs; this may promote individualized prognostic evaluation and treatment. … (more)
- Is Part Of:
- Scandinavian journal of gastroenterology. Volume 57:Number 1(2022)
- Journal:
- Scandinavian journal of gastroenterology
- Issue:
- Volume 57:Number 1(2022)
- Issue Display:
- Volume 57, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 57
- Issue:
- 1
- Issue Sort Value:
- 2022-0057-0001-0000
- Page Start:
- 85
- Page End:
- 90
- Publication Date:
- 2022-01-02
- Subjects:
- Pancreatic neuroendocrine neoplasms -- survival rate -- personal -- nomogram -- SEER database
Gastroenterology -- Periodicals
Digestive organs -- Diseases -- Periodicals
616.33 - Journal URLs:
- http://informahealthcare.com/loi/gas ↗
http://informahealthcare.com ↗ - DOI:
- 10.1080/00365521.2021.1984571 ↗
- Languages:
- English
- ISSNs:
- 0036-5521
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8087.507000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20384.xml