Proposal of a new T-stage classification system for ampullary carcinoma based on Surveillance, Epidemiology and End Result (SEER) database

Wang, Shijie; Li, Yifei; Liao, Shan; Wei, You-Zhu; Zhou, Yanming

doi:10.1016/j.hbpd.2021.07.009

Cited by 3 publications

(9 citation statements)

References 19 publications

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“…Although rare, its incidence has increased in recent decades 6,7 . High recurrence and postoperative mortality risks are major prognostic issues in patients with AAC 10,11 . Various genotypes and tumor stages that affect the prognosis of patients with AAC have recently been found 4,15,16 .…”

Section: Discussionmentioning

confidence: 99%

“… 8 , 9 Although the early detection of symptoms helps to improve the resection rates in radical surgery, which is the standard treatment for AAC, high risks of recurrence, and postoperative mortality are major concerns. 10 , 11 Different centers have reported a wide range of 5-year overall survival (OS) rates after AAC resection of 32%–69.1%, with a median survival time of 28–70 months, while the 10-year OS rate ranged from 26% to 48%. 4 , 12 , 13 High-quality evidence from clinical trials of AAC is currently inadequate, and relevant data are mostly collected from subgroup analyses of pancreaticobiliary malignancies or retrospective analyses.…”

Section: Introductionmentioning

confidence: 99%

“…Patients with AAC tend to present typical symptoms of biliary obstruction at relatively early stages, but these symptoms are mostly nonspecific and are therefore often detected incidentally during examinations 8,9 . Although early detection of symptoms helps to improve resection rates in radical surgery, which is the standard treatment for AAC, high risks of recurrence and postoperative mortality are major concerns 10,11 . Different centers have reported a wide range of 5-year overall survival (OS) rates after AAC resection of 32-69.1%, with median survival time of 28-70 months, while the 10-year OS rate ranged from 26% to 48% 4,12,13 .…”

mentioning

confidence: 99%

“…High-quality evidence from clinical trials of AAC is currently inadequate, and relevant data are mostly collected from subgroup analyses of pancreaticobiliary malignancies or retrospective analyses 14 . Specific treatment decisions and prognoses of AAC are under discussion including the construction of the American Joint Committee on Cancer (AJCC) TNM staging system 10 . Knowledge of the prognostic factors associated with different survival outcomes among patients with AAC is important for survival predictions and nursing planning 4,15,16 .…”

mentioning

confidence: 99%

“…Previous research has used various types of prediction models to assess the shortterm survival rates of AAC, including Kaplan-Meier survival analysis, logistic regression, and the Cox proportional-hazards (CoxPH) model [5][6][7][8][9][10][11][12][13][16][17][18][19][20][21][22][23] . Kaplan-Meier J o u r n a l P r e -p r o o f survival analysis is the most commonly method used to investigate the prognostic factors for AAC, which does not allow adjustments for confounders and has a restrictive assumption of noninformative censoring 24,25 .…”

mentioning

confidence: 99%

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Machine learning models for predicting survival in patients with ampullary adenocarcinoma

Huang¹,

Yang²,

Li³

et al. 2022

Asia-Pacific Journal of Oncology Nursing

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Machine learning models for predicting survival in patients with ampullary adenocarcinoma

Huang¹,

Yang²,

Li³

et al. 2022

Asia-Pacific Journal of Oncology Nursing

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Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients with Diagnosed Duodenal cancer: A Population- Based Study

Shang,

Xu,

zhai

et al. 2023

Preprint

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INTRODUCTION: Duodenal cancer is one of the most common subtypes of small intestinal cancer, and distant metastasis (DM) in this type of cancer still leads to poor prognosis. Although nomograms have recently been used in tumor areas, no studies have focused on the diagnostic and prognostic evaluation of DM in patients with primary duodenal cancer. Methods Data on duodenal cancer patients diagnosed between 2010 and 2019 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in patients with duodenal cancer, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors in duodenal cancer patients with DM. Two novel nomograms were established, and the results were evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Result A total of 2,603 patients with duodenal cancer were included; and 457 patients (17.56%) had DM at the time of diagnosis. Independent risk factors for DM in patients with duodenal cancer include sex, grade, tumor size, T stage, and N stage. The independent prognostic factors for duodenal cancer patients with DM are age, histological type, T stage, tumor grade, tumor size, bone metastasis chemotherapy, and surgery. The results of ROC curves, calibration, DCA, and Kaplan–Meier (K-M) survival curves in the training, validation, and expanded testing sets confirmed that the two nomograms could precisely predict the occurrence and prognosis of DM in patients with duodenal cancer. Conclusion two nomograms are expected to be effective tools for predicting the risk of DM in patients with duodenal cancer and personalized prognosis prediction for patients with DM, which may benefit clinical decision-making.

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Risk factors, prognostic factors, and nomograms for distant metastasis in patients with diagnosed duodenal cancer: A population-based study

Shang,

Xu,

Zhai

et al. 2024

World J Gastrointest Oncol

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BACKGROUND Duodenal cancer is one of the most common subtypes of small intestinal cancer, and distant metastasis (DM) in this type of cancer still leads to poor prognosis. Although nomograms have recently been used in tumor areas, no studies have focused on the diagnostic and prognostic evaluation of DM in patients with primary duodenal cancer. AIM To develop and evaluate nomograms for predicting the risk of DM and personalized prognosis in patients with duodenal cancer. METHODS Data on duodenal cancer patients diagnosed between 2010 and 2019 were extracted from the Surveillance, Epidemiology, and End Results database. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for DM in patients with duodenal cancer, and univariate and multivariate Cox proportional hazards regression analyses were used to determine independent prognostic factors in duodenal cancer patients with DM. Two novel nomograms were established, and the results were evaluated by receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). RESULTS A total of 2603 patients with duodenal cancer were included, of whom 457 cases (17.56%) had DM at the time of diagnosis. Logistic analysis revealed independent risk factors for DM in duodenal cancer patients, including gender, grade, tumor size, T stage, and N stage (P < 0.05). Univariate and multivariate COX analyses further identified independent prognostic factors for duodenal cancer patients with DM, including age, histological type, T stage, tumor grade, tumor size, bone metastasis, chemotherapy, and surgery (P < 0.05). The accuracy of the nomograms was validated in the training set, validation set, and expanded testing set using ROC curves, calibration curves, and DCA curves. The results of Kaplan-Meier survival curves (P < 0.001) indicated that both nomograms accurately predicted the occurrence and prognosis of DM in patients with duodenal cancer. CONCLUSION The two nomograms are expected as effective tools for predicting DM risk in duodenal cancer patients and offering personalized prognosis predictions for those with DM, potentially enhancing clinical decision-making.

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Proposal of a new T-stage classification system for ampullary carcinoma based on Surveillance, Epidemiology and End Result (SEER) database

Cited by 3 publications

References 19 publications

Machine learning models for predicting survival in patients with ampullary adenocarcinoma

Machine learning models for predicting survival in patients with ampullary adenocarcinoma

Risk Factors, Prognostic Factors, and Nomograms for Distant Metastasis in Patients with Diagnosed Duodenal cancer: A Population- Based Study

Risk factors, prognostic factors, and nomograms for distant metastasis in patients with diagnosed duodenal cancer: A population-based study

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