scholarly journals Survival Nomograms for Patients with Pancreatic Neuroendocrine Tumors: A Population-based Study

2020 ◽  
Author(s):  
Bi Lin ◽  
Dinglai Yu ◽  
Shengchuan Chen ◽  
Daojie Wang ◽  
Chaohao Huang
Keyword(s):  
Risk Factors ◽  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Cancer Survival ◽  
Predictive Accuracy ◽  
Population Based ◽  
Pancreatic Neuroendocrine Tumors ◽  
Discrimination Power ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Regression

Abstract Background: Although pancreatic neuroendocrine tumors (PNETs) are considered indolent tumors, most patients are diagnosed at an advanced stage. We aimed to establish a nomogram for clinical use to predict the survival of PNET patients using the Surveillance, Epidemiology, and End Results (SEER) database.Methods: Based on the SEER database, 1,103 patients with PNETs were enrolled and randomly divided into training and validation sets. We performed Kaplan-Meier analysis and Cox proportional hazard regression analysis in the training set to evaluate the value of the prognostic factors. A nomogram was then constructed to analyze these independent prognostic factors for predicting the overall survival (OS) and specific cancer survival (CSS). C-index, calibration curve, and decision curve analysis were used to evaluate the predictive accuracy of the nomogram.Results: Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Nomograms were established depending on these risk factors and had a better discrimination power than the TMN stage. The validation techniques showed that the nomograms were able to predict the 3- and 5-year OS and CSS accurately, and also proved to be superior.Conclusions: Nomograms were established depending on these risk factors and had a better discrimination power than the TMN stage. The validation techniques showed that the nomograms were able to predict 3- and 5-year OS and CSS accurately, and also proved to be superior.

scholarly journals Survival Nomograms for Patients with Pancreatic Neuroendocrine Tumors: A Population-based Study

2020 ◽  
Author(s):  
Bi Lin ◽  
Dinglai Yu ◽  
Shengchuan Chen ◽  
Daojie Wang ◽  
Chaohao Huang
Keyword(s):  
Risk Factors ◽  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Predictive Accuracy ◽  
Primary Site ◽  
Tnm Stage ◽  
Pancreatic Neuroendocrine Tumors ◽  
Multivariate Models ◽  
Training Set ◽  
Discrimination Power

Abstract Background: Although Pancreatic neuroendocrine tumors(PNETs) considered as indolent tumors, most patients are diagnosed at an advanced stage. Herein, we aimed to establish a nomogram to predict the survival of PNETs patients for clinical use via Surveillance, Epidemiology, and End Results (SEER) database. Methods: Based on the SEER program, the data of 1103 patients with PNETs were enrolled and randomly divided into training set and validation set. We performed Kaplan-Meier analysis, Cox proportional hazard regression analysis in training set to evaluate the value of prognostic factors. A nomogram was constructed obtained these independent prognostic factors for predicting overall survival(OS) and specific-cancer survival(CSS). C-index, calibration curve, decision curve analysis were used to evaluate the predictive accuracy of the nomogram. Results: Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomogram was able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority. Age, primary site, TNM stage, grade, and surgery were associated with OS and CSS in the multivariate models. Conclusions: Nomograms were established depend on these risk factors and had a better discrimination power than TMN stage. The validation technologies showed that the nomograms were able to predict 3- and 5-year OS and CSS accurately, and also proved the superiority.

scholarly journals Preoperative anaemia and thrombocytosis predict adverse prognosis in non‐metastatic renal cell carcinoma with tumour thrombus

BMC Urology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ruotao Xiao ◽  
Chuxiao Xu ◽  
Wei He ◽  
Lei Liu ◽  
Hongxian Zhang ◽  
...  
Keyword(s):  
Risk Factors ◽  
Prognostic Factors ◽  
Predictive Accuracy ◽  
Blood Parameters ◽  
Tumour Thrombus ◽  
Factors Associated ◽  
Node Metastasis ◽  
Kaplan Meier ◽  
Metastatic Rcc ◽  
Preoperative Anaemia

Abstract Background  This study aimed to determine the prognostic value of preoperative blood parameters in renal cell carcinoma (RCC) and tumour thrombus (TT) patients that were surgically treated. Method We retrospectively analysed clinicopathological data and blood parameters of 146 RCC and TT patients that were surgically treated. Univariate or multivariate Cox regression analyses were performed to determine the risk factors associated with progression-free survival (PFS) and overall survival (OS). Kaplan-Meier analysis and logistic regression were performed to study the risk factors. Receiver operating characteristic curves were applied to test improvements in the predictive accuracy of the established prognosis score. Results On univariate and multivariate analysis, anaemia (HR 2.873, P = 0.008) and lymph node metastasis (HR 4.811, P = 0.015) were independent prognostic factors linked to OS. Besides, thrombocytosis (HR 2.324, P = 0.011), histologic subtype (HR 2.835, P = 0.004), nuclear grade (HR 2.069, P = 0.033), and lymph node metastasis (HR 5.739, P = 0.001) were independent prognostic factors associated with PFS. Kaplan–Meier curves revealed that patients with anaemia exhibited worse OS than those without it (P = 0.0033). Likewise, patients with thrombocytosis showed worse PFS than those without it (P < 0.0001). Adding the anaemia and thrombocytosis to the SSIGN score improved its predictive accuracy related to OS and PFS. Preoperative anaemia was linked to more symptom at presentation (OR 3.348, P = 0.006), longer surgical time (OR 1.005, P = 0.001), more blood loss (OR 1.000, P = 0.018), more transfusion (OR 2.734, P = 0.004), higher thrombus level (OR 4.750, P = 0.004) and higher nuclear grade (OR 3.449, P = 0.001) while thrombocytosis was associated with more symptom at presentation (OR 7.784, P = 0.007). Conclusions Preoperative anaemia and thrombocytosis were adverse prognostic factors in non-metastatic RCC patients with TT. Also, both preoperative anaemia and thrombocytosis can be clinically used for risk stratification of non-metastatic RCC and TT patients.

A prognostic nomogram in patients with distant metastasis of pancreatic neuroendocrine tumors: a population-based study

2020 ◽  
Vol 16 (2) ◽  
pp. 4369-4379
Author(s):  
Jin-Song Cai ◽  
Hai-Yan Chen ◽  
Yuan-Fei Lu ◽  
Ri-Sheng Yu
Keyword(s):  
Neuroendocrine Tumors ◽  
Tumor Grade ◽  
Population Based ◽  
Rank Test ◽  
Survival Outcomes ◽  
Concordance Index ◽  
Pancreatic Neuroendocrine Tumors ◽  
Cancer Specific Survival ◽  
Kaplan Meier ◽  
Cox Analysis

Aim: Prognostic factors in patients with distant metastatic pancreatic neuroendocrine tumors (PNETs) remain uncertain. The purpose of our study is to establish a nomogram to predict survival outcomes in patients with metastatic PNETs. Methods: A total of 878 patients diagnosed with PNETs in the Surveillance, Epidemiology and End Results database between 2004 and 2016 were retrospectively identified. The Kaplan–Meier survival analysis with log-rank test was used to analyze survival outcomes. The nomogram was established after a univariate and multivariate Cox analysis. Results: The independent prognostic variables, including age, tumor grade and primary site surgery were applied to develop a nomogram. The original concordance index was 0.773 (95% CI: 0.751–0.795), and the bias-corrected concordance index was 0.769 (95% CI: 0.748–0.791). The internal calibration curves showed well consistency and veracity in predicting cancer-specific survival probabilities. Conclusion: A nomogram was constructed and verified to predict survival outcomes in patients with distant-stage PNETs.

scholarly journals Clinical Characteristics and Prognostic Factors of Early-Onset Pancreatic Neuroendocrine Tumors

2021 ◽  
Vol 28 ◽  
pp. 107327482098682
Author(s):  
Min Shi ◽  
Biao Zhou
Keyword(s):  
Prognostic Factors ◽  
Neuroendocrine Tumors ◽  
Early Onset ◽  
Older Patients ◽  
Clinical Characteristics ◽  
Clinicopathological Characteristics ◽  
Pancreatic Neuroendocrine Tumors ◽  
Chi Square ◽  
Younger Patients ◽  
Significant Difference

Background: The incidence of pancreatic neuroendocrine tumors (PNETs) has increased significantly. The purpose of this study was to analyze the clinical characteristics and prognosis of patients under 50 years old. Methods: Patients with PNETs recorded in the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2015 were analyzed. The clinical characteristics were analyzed by Chi-square test. The Kaplan-Meier method was used to estimate overall survival (OS). Multivariate Cox proportional risk regression analysis was used to determine independent prognostic factors. Results: 2,303 patients included, of which 547 (23.8%) patients were younger than 50 years old. The number of younger patients has increased steadily, while the proportion in total PNETs decreased recently. Compared with older group, the proportion of the Black, grade I/II, and surgery were higher in early-onset PNETs. Liver was the most frequent metastatic site. There was no significant difference in the incidence of different metastatic sites between younger and older PNETs patients, while younger patients had better OS (P < 0.05). Grade, N stage, M stage, and surgery were independent prognostic factors for OS in early-onset PNETs. Conclusions: Younger patients have unique clinicopathological characteristics compared with older patients in PNETs. Better OS was observed in younger patients which might due to the higher proportion of well-differentiated tumor and surgery than older patients.

Risk Factors for Sporadic Pancreatic Neuroendocrine Tumors (PNETs)

Pancreas ◽  
2010 ◽  
Vol 39 (2) ◽  
pp. 279
Author(s):  
Ike Onwere ◽  
Thomas O'Dorisio ◽  
Sue M. O'Dorisio ◽  
Barry DeYoung ◽  
Menda Yusuf
Keyword(s):  
Risk Factors ◽  
Neuroendocrine Tumors ◽  
Pancreatic Neuroendocrine Tumors

scholarly journals Colorectal cancer survival among Ministry of National Guard-Health Affairs (MNG-HA) population 2009–2017: retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Mesnad Alyabsi ◽  
Fouad Sabatin ◽  
Majed Ramadan ◽  
Abdul Rahman Jazieh
Keyword(s):  
Colorectal Cancer ◽  
Distant Metastasis ◽  
Cancer Survival ◽  
National Guard ◽  
Population Based ◽  
Risk Of Death ◽  
Cox Proportional Hazard ◽  
Kaplan Meier ◽  
Increased Risk ◽  
Cox Proportional Hazard Models

Abstract Background Colorectal cancer (CRC) is the most diagnosed cancer among males and third among females in Saudi Arabia, with up to two-third diagnosed at advanced stage. The objective of our study was to estimate CRC survival and determine prognostic factors. Methods Ministry of National Guard- Health Affairs (MNG-HA) registry data was utilized to identify patients diagnosed with CRC between 2009 and 2017. Cases were followed until December 30th, 2017 to assess their one-, three-, and five-year CRC-specific survivals. Kaplan-Meier method and Cox proportional hazard models were used to assess survival from CRC. Results A total of 1012 CRC patients were diagnosed during 2009–2017. Nearly, one-fourth of the patients presented with rectal tumor, 42.89% with left colon and 33.41% of the cases were diagnosed at distant metastasis stage. The overall one-, three-, and five-year survival were 83, 65 and 52.0%, respectively. The five-year survival was 79.85% for localized stage, 63.25% for regional stage and 20.31% for distant metastasis. Multivariate analyses showed that age, diagnosis period, stage, nationality, basis of diagnosis, morphology and location of tumor were associated with survival. Conclusions Findings reveal poor survival compared to Surveillance, Epidemiology, and End Results (SEER) population. Diagnoses at late stage and no surgical and/or perioperative chemotherapy were associated with increased risk of death. Population-based screening in this population should be considered.

scholarly journals The chemotherapy and radiation in low-grade myofibroblastic sarcoma: is there a role?

2020 ◽  
Author(s):  
Yao Xu ◽  
Guijun Xu ◽  
Xin Wang ◽  
Min Mao ◽  
Haixiao Wu ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Surgical Treatment ◽  
Head And Neck ◽  
Radiation Treatment ◽  
Treatment Strategies ◽  
Neck Region ◽  
Low Grade ◽  
Myofibroblastic Sarcoma ◽  
Kaplan Meier ◽  
Cox Proportional Hazard Regression

Abstract Background: Low-grade myofibroblastic sarcoma (LGMS) is a rare entity with a predilection in the head and neck. There are still no optimal treatment strategies for LGMS. We aimed to investigate the role of chemotherapy and radiation treatment for LGMS. Survival estimate was performed and prognostic factors were identified.Methods: Based on the Surveillance, Epidemiology, and End Result (SEER) database, LGMS patients diagnosed between 2001 and 2015 were involved in our study. Kaplan-Meier curves and log-rank tests were used to estimate overall survival. Cox proportional hazard regression model was performed to identify prognostic factors.Results: A total of 96 eligible patients with LGMS were included, among which 86 (89.6%) received surgical treatment. Twenty-eight (29.2%) patients received radiation treatment while chemotherapy was offered to 20 (10.4%) patients. The median age was 55.0 years old with 22 cases occurred in head and neck region. The mean OS was 125.2 (95%CI 106.3-144.2) months while 1-, 3-, 5- and 10-year OS rates were 88%, 77%, 70% and 59%, respectively. Age older than 60 years, positive nodal status and no surgical treatment were independent prognostic factors for patients with LGMS. Chemotherapy and radiation were not independent prognostic factors for LGMS.Conclusions: Several prognostic factors for LGMS were revealed in this study. Surgical resection is the main therapy while chemotherapy and radiation showed limited effects on survival improvement. Thus, chemotherapy and/or radiation should not be routinely performed in LGMS.

scholarly journals Nomogram for predicting the overall survival and cancer-specific survival of patients with extremity liposarcoma: a population-based study

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Lin Ye ◽  
Chuan Hu ◽  
Cailin Wang ◽  
Weiyang Yu ◽  
Feijun Liu ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Area Under The Curve ◽  
Risk Groups ◽  
Population Based ◽  
Cancer Specific Survival ◽  
Kaplan Meier ◽  
Extremity Soft Tissue Sarcoma ◽  
Individual Survival ◽  
Size Grade

Abstract Background Extremity liposarcoma represents 25% of extremity soft tissue sarcoma and has a better prognosis than liposarcoma occurring in other anatomic sites. The purpose of this study was to develop two nomograms for predicting the overall survival (OS) and cancer-specific survival (CSS) of patients with extremity liposarcoma. Methods A total of 2170 patients diagnosed with primary extremity liposarcoma between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore the independent prognostic factors and establish two nomograms. The area under the curve (AUC), C-index, calibration curve, decision curve analysis (DCA), Kaplan-Meier analysis, and subgroup analyses were used to evaluate the nomograms. Results Six variables were identified as independent prognostic factors for both OS and CSS. In the training cohort, the AUCs of the OS nomogram were 0.842, 0.841, and 0.823 for predicting 3-, 5-, and 8-year OS, respectively, while the AUCs of the CSS nomogram were 0.889, 0.884, and 0.859 for predicting 3-, 5-, and 8-year CSS, respectively. Calibration plots and DCA revealed that the nomogram had a satisfactory ability to predict OS and CSS. The above results were also observed in the validation cohort. In addition, the C-indices of both nomograms were significantly higher than those of all independent prognostic factors in both the training and validation cohorts. Stratification of the patients into high- and low-risk groups highlighted the differences in prognosis between the two groups in the training and validation cohorts. Conclusion Age, sex, tumor size, grade, M stage, and surgery status were confirmed as independent prognostic variables for both OS and CSS in extremity liposarcoma patients. Two nomograms based on the above variables were established to provide more accurate individual survival predictions for extremity liposarcoma patients and to help physicians make appropriate clinical decisions.

scholarly journals Epidemiology and outcome of Gram-negative bloodstream infection in children: a population-based study

2010 ◽  
Vol 139 (5) ◽  
pp. 791-796 ◽  
Author(s):  
M. N. AL-HASAN ◽  
W. C. HUSKINS ◽  
B. D. LAHR ◽  
J. E. ECKEL-PASSOW ◽  
L. M. BADDOUR
Keyword(s):  
Incidence Rate ◽  
Bloodstream Infection ◽  
Population Based ◽  
Medical Conditions ◽  
Gram Negative ◽  
Source Of Infection ◽  
Kaplan Meier ◽  
Adjusted Incidence Rate ◽  
Cox Proportional Hazard Regression ◽  
Healthcare Associated

SUMMARYPopulation-based studies of Gram-negative bloodstream infection (BSI) in children are lacking. Therefore, we performed this population-based investigation in Olmsted County, Minnesota, to determine the incidence rate, site of acquisition, and outcome of Gram-negative BSI in children aged ⩽18 years. We used Kaplan–Meier method and Cox proportional hazard regression for mortality analysis. We identified 56 unique children with Gram-negative BSI during the past decade. The gender-adjusted incidence rate of Gram-negative BSI per 100 000 person-years was 129·7 [95% confidence interval (CI) 77·8–181·6]) in infants, with a sharp decline to 14·6 (95% CI 6·0–23·2) and 7·6 (95% CI 4·3–10·9) in children aged 1–4 and 5–18 years, respectively. The urinary tract was the most commonly identified source of infection (34%) and Escherichia coli was the most common pathogen isolated (38%). Over two-thirds (68%) of children had underlying medical conditions that predisposed to Gram-negative BSI. The overall 28-day and 1-year all-cause mortality rates were 11% (95% CI 3–18) and 18% (95% CI 8–28), respectively. Younger age and number of underlying medical conditions were associated with 28-day and 1-year mortality, respectively. Nosocomial or healthcare-associated acquisition was associated with both 28-day and 1-year mortality.

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