scholarly journals Conditional Survival After Surgical Resection of Appendiceal Tumors: a Population-based Study

2021 ◽  
Author(s):  
Shutao Zhao ◽  
Chang Lu ◽  
Junan Li ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Prognostic Factors ◽  
Cox Regression ◽  
Population Based ◽  
Conditional Survival ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Factors Affecting ◽  
Probability Of Survival ◽  
N Stage

Abstract Background: This study aimed to evaluate the conditional survival (CS) of appendiceal tumors (ATs) after surgery.Methods: A total of 3,031 patients with ATs who underwent surgery were included in the Surveillance Epidemiology and End Results (SEER) database from 2004 to 2016. A multivariate Cox regression model was used to analyze the prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for another 3 years after the patient had survived x years. The formulas were COS3 = OS (x + 3) /OS (x), and CCS3 = CSS (x + 3)/CSS (x).Results: The 1-year, 3-year, and 5-year OSs for all patients were 95.6%, 83.3%, and 73.9%, respectively, while the 1-year, 3-year, and 5-year CSSs were 97.0%, 87.1%, and 79.9%, respectively. Age, grade, histology, N stage, carcinoembryonic antigen (CEA), and radiation were independent prognostic factors for OS and CSS. For patients that survived for 1 year, 3 years, and 5 years, their COS3s were 81.7%, 83.9%, and 87.0%, respectively. The CCS3s were 85.5%, 88.3%, and 92.0% respectively. In patients with poor clinicopathological factors, COS3 and CCS3 increased significantly, and the survival gap between OS and COS3, CSS and CCS3 was more obvious.Conclusions: CS for appendiceal tumors were dynamic and increased over time, especially in patients with poor prognosis.

scholarly journals Conditional survival after surgical resection of primary retroperitoneal tumors: a population-based study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shutao Zhao ◽  
Yixuan Zhao ◽  
Shuang Liu ◽  
Chao Zhang ◽  
Xudong Wang
Keyword(s):  
Prognostic Factors ◽  
Population Based ◽  
Clinicopathological Characteristics ◽  
Conditional Survival ◽  
Cancer Specific Survival ◽  
Factors Affecting ◽  
Probability Of Survival ◽  
Retroperitoneal Tumors ◽  
Primary Retroperitoneal ◽  
Primary Retroperitoneal Tumors

Abstract Background The purpose of this study was to assess conditional survival (CS) after resection of primary retroperitoneal tumors (RPTs). Methods The data of 1594 patients with primary RPTs who underwent surgery between 2004 and 2016 were retrieved from the Surveillance Epidemiology and End Results (SEER) database. Multivariate Cox analysis was used to identify prognostic factors affecting overall survival (OS) and cancer-specific survival (CSS). CS was used to calculate the probability of survival for an additional 3 years after the patient had survived x years, according to the formulas: COS3 = OS (x + 3) /OS (x) and CCSS3 = CSS (x + 3)/CSS (x). Results The 1-, 3-, and 5-year OS rates of all patients were 89.8, 71.8, and 60.8%, while the 1-, 3-, and 5-year CSS rates were 91.9, 77.1, and 67.8%, respectively. Age, sex, FNCLCC grade, size, multifocality, histology, and chemotherapy were independent prognostic factors for OS and CSS. Among patients who survived for 1, 3, and 5 years, the COS3 rates were 72.9, 77.9, and 79.3%, and the CCSS3 rates were 78.1, 82.7, and 85.8%, respectively. Patients with poor clinicopathological characteristics achieved greater improvements in COS3 and CCSS3 rates, and the survival gaps between OS and COS3, as well as CSS and CCSS3 were more obvious. Conclusion Postoperative CS of RPTs was dynamic and increased over time. CS increased more significantly in patients with poor clinicopathological characteristics.

scholarly journals Survival in B-cell primary ocular lymphoma 1997–2014: a population-based study

2018 ◽  
Vol 66 (8) ◽  
pp. 1133-1140
Author(s):  
Deliang L Liu ◽  
Zhuojun J Zheng
Keyword(s):  
Prognostic Factors ◽  
B Cell ◽  
Cox Regression ◽  
Clinical Information ◽  
Population Based ◽  
Population Based Study ◽  
Ocular Lymphoma ◽  
Radiotherapy Alone ◽  
Therapeutic Measures ◽  
End Results

This study sought to explore the prognostic factors in a large retrospective cohort of patients with B-cell primary ocular lymphoma (POL) from the Surveillance, Epidemiology, and End Results database. There were 2778 patients with B-cell POL whose complete clinical information was listed in the Surveillance, Epidemiology, and End Results database between 1997 and 2014. The epidemiology, therapeutic measures, and clinical characteristics were listed as descriptive statistics. Survival analysis was conducted by univariate and multivariable Cox regression models. Multivariate analysis identified age, lymphoma subtype, primary lesion, and radiation status as independent prognostic factors. For indolent lymphoma, radical treatment, especially intravenous chemotherapy, should be avoided. For invasive lymphoma, chemotherapy combined with full orbital irradiation is recommended. Radiotherapy alone or in combination with chemotherapy is superior to chemotherapy alone. These differences were statistically significant (p<0.05). Radiation brings benefits, with tolerable neurotoxicity, to patients with invasive B-cell POL. Radical tumor treatment may not be needed for patients with indolent B-cell POL.

scholarly journals Development and Validation of Nomograms to Predict Prognosis of Oral and Oropharyngeal Mucoepidermoid Carcinoma: A SEER-Based Study

2020 ◽  
Author(s):  
muyuan liu ◽  
Litian Tong ◽  
Manbin Xu ◽  
Xiang Xu ◽  
Bin Liang ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Mucoepidermoid Carcinoma ◽  
Cox Regression ◽  
Seer Database ◽  
Disease Specific Survival ◽  
Cox Regression Analysis ◽  
T Stage ◽  
N Stage ◽  
Disease Specific

Abstract Background: Due to the low incidence of mucoepidermoid carcinoma, there lacks sufficient studies for determining optimal treatment and predicting prognosis. The purpose of this study was to develop prognostic nomograms, to predict overall survival and disease-specific survival (DSS) of oral and oropharyngeal mucoepidermoid carcinoma patients, using the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database. Methods: Clinicopathological and follow-up data of patients diagnosed with oral and oropharyngeal mucoepidermoid carcinoma between 2004 and 2017 were collected from the SEER database. The Kaplan-Meier method with the log-rank test was employed to identify single prognostic factors. Multivariate Cox regression was utilized to identify independent prognostic factors. C-index, area under the ROC curve (AUC) and calibration curves were used to assess performance of the prognostic nomograms. Results: A total of 1230 patients with oral and oropharyngeal mucoepidermoid carcinoma were enrolled in the present study. After multivariate Cox regression analysis, age, sex, tumor subsite, T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for overall survival. T stage, N stage, M stage, grade and surgery were identified as independent prognostic factors for disease-specific survival. Nomograms were constructed to predict the overall survival and disease-specific survival based on the independent prognostic factors. The fitted nomograms possessed excellent prediction accuracy, with a C-index of 0.899 for OS prediction and 0.893 for DSS prediction. Internal validation by computing the bootstrap calibration plots, using the validation set, indicated excellent performance by the nomograms. Conclusion: The prognostic nomograms developed, based on individual clinicopathological characteristics, in the present study, accurately predicted the overall survival and disease-specific survival of patients with oral and oropharyngeal mucoepidermoid carcinoma.

Analysis of clinical characteristics and prognosis with cervical adenosquamous carcinoma: a large population-based study

2021 ◽  
Author(s):  
Yanan Ma ◽  
Aimei Zhao ◽  
Jinjuan Zhang ◽  
Sumei Wang ◽  
Jiandong Zhang
Keyword(s):  
Overall Survival ◽  
Regression Models ◽  
Clinical Characteristics ◽  
Cox Regression ◽  
Adenosquamous Carcinoma ◽  
Large Population ◽  
Population Based ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Good Consistency

Objective: The target of this work was to analyze the clinical characteristics and construct nomograms to predict prognosis in patients with cervical adenosquamous carcinoma (ASC). Methods: A total of 788 ASC patients were tracked in the Surveillance, Epidemiology and End Results database. We compared the clinical characteristics and prognostic factors of ASC. Cox regression models were established, and nomograms constructed and verified. Results: ASC patients have lower age levels and higher histological grades than patients with squamous cell carcinoma. Nomograms were constructed with good consistency and feasibility in clinical practice. The C-indices for overall survival and cancer-specific survival were 0.783 and 0.787, respectively. Conclusion: ASC patients have unique clinicopathological and prognostic characteristics. Nomograms were successfully constructed and verified.

scholarly journals Comprehensive lymphadenectomy and survival prediction in uterine serous cancer patients after surgery: a population-based analysis

2020 ◽  
Author(s):  
Hui Li ◽  
Xiaofei Xie ◽  
Yunyun Liu ◽  
Xiaoxin Huang ◽  
Haoliang Lin ◽  
...  
Keyword(s):  
Prognostic Factors ◽  
Lymph Nodes ◽  
Cox Regression ◽  
Staging System ◽  
Population Based ◽  
Pelvic Lymphadenectomy ◽  
Survival Prediction ◽  
Cancer Specific Survival ◽  
Gynecology And Obstetrics ◽  
Objective Evidence

Abstract Objective Evidence on uterine serous cancer (USC) prognosis has been limited and inconclusive. We aim to explore the survival benefits of comprehensive lymphadenectomy in USC patients after surgery and develop a prognostic nomogram to predict survival. Materials and Methods USC patients who had undergone hysterectomy between 2010 and 2015 were identified from Surveillance, Epidemiology and End Results (SEER) database. The relationship between the extent of lymphadenectomy and survival, including overall survival (OS) and cancer-specific survival (CSS), was estimated with Kaplan-Meier (K-M) analysis. Univariate and multivariate Cox regression analyses were utilized to determine the independent prognostic factors. A nomogram was then developed, calibrated and internally validated. Results A total of 2853 patients were identified. K-M survival analysis revealed that patients with ≥12 pelvic lymph nodes (PLNs) removed had significantly better OS and CSS than those without (both P <0.001). However, patients with ≥6 para-aortic lymph nodes removed was not associated with similar survival benefits than patients without ( P >0.1). Multivariate analyses for OS and CSS revealed that age, T stage, N stage, tumor size, adjuvant therapy and ≥12 PLNs removed were independent prognostic factors (all P<0.05) and were subsequently incorporated into the nomogram. The Harrell’s C-index of the nomogram was significantly higher than that of the International Federation of Gynecology and Obstetrics staging system (OS: 0.739 vs 0.671, P <0.001; CSS: 0.752 vs 0.695, P <0.001). Furthermore, the nomogram was well calibrated with satisfactory consistency. Conclusions Comprehensive pelvic lymphadenectomy should be recommended to USC patients for its survival benefits. And a nomogram has been developed to predict the survivals of USC patients after surgery.

scholarly journals A Novel Nomogram for Predicting Cancer-Specific Survival in Women with Uterine Sarcoma: A Large Population-Based Study

2021 ◽  
Author(s):  
Yuan-jie Li ◽  
Jun Lyu ◽  
Chen Li ◽  
Hai-rong He ◽  
Jin-feng Wang ◽  
...  
Keyword(s):  
Validation Cohort ◽  
Large Population ◽  
Population Based ◽  
Uterine Sarcoma ◽  
Age At Diagnosis ◽  
Rapid Progression ◽  
Seer Database ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Cox Analysis

Abstract Background: Uterine Sarcoma (US) is a rare malignant uterine tumor in women with aggressive behavior and rapid progression. The purpose of this study was to perform a comprehensive nomogram to predict the cancer-specific survival (CSS) for US based on the Surveillance, Epidemiology, and End Results (SEER) database.Methods: Retrospetive population-based study was conducted using the data of patients with US between 2010 and 2015 from SEER database. They were randomly divided into a training cohort and a validation cohort in a 7-to-3 ratio. Multivariate Cox analysis was performed to identify independent prognostic factors. Subsequently, nomogram was established to predict the patients’ CSS. The discrimination and calibration of the nomogram were evaluated by concordance index (C-index) and the area under the curve (AUC). Finally, the net reclassification improvement (NRI), the integrated discrimination improvement (IDI), calibration plotting, and decision-curve analysis (DCA) were used to evaluate the benefits of the new prediction model.Results: A total of 3861 patients with US were included in our study. As revealed in multivariate Cox analysis, age at diagnosis, race, marital status, insurance record, tumor size, pathology grade, histological type, SEER stage, AJCC stage, surgery status, radiotherapy status, and chemotherapy status were found to be independent prognositic factors. In our nomogram, pathology grade has the highest risk on CSS in US, followed by age at diagnosis, then surgery status. Comparing to the AJCC staging system, the new nomogram showed better predictive discrimination with higher C-index in both training and validation cohort (0.796 and 0.767 vs0.706 and 0.713, respectively) . Furthermore, AUC value, calibration plotting, NRI, IDI, and DCA also demonstrated better performance than the traditional system.Conclusion: Our study validated the first comprehensive nomogram for US which could provide more accurately and individualized survival predictions for US patients in clinical practice.

scholarly journals Adenosquamous Carcinoma of the Cervix: A Population-Based Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Pengfei Cui ◽  
Xiaofeng Cong ◽  
Chen Chen ◽  
Lei Yang ◽  
Ziling Liu
Keyword(s):  
Prognostic Factors ◽  
Calibration Curve ◽  
Cox Regression ◽  
Adenosquamous Carcinoma ◽  
Staging System ◽  
Predictive Performance ◽  
Tumor Grade ◽  
Population Based ◽  
Cancer Specific Survival ◽  
Discrimination Ability

BackgroundDue to the rarity of adenosquamous carcinoma of the cervix (ASCC), studies on the incidence, prognostic factors, and treatment outcomes of ASCC remain scarce. Therefore, we performed a retrospective population-based study to systematically investigate the characteristics of ASCC patients.MethodsPatients with a histopathologically confirmed diagnosis of ASCC were enrolled from the Surveillance, Epidemiology, and End Results database between 1975 and 2016. Univariate and multivariate Cox regression analyses were performed to identify the potential predictors of cancer-specific survival (CSS) in patients with ASCC. Selected variables were integrated to establish a predictive nomogram and the predictive performance of the nomogram was estimated using Harrell’s concordance index (C-index), calibration curve, and decision curve analysis (DCA).ResultsA total of 1142 ASCC patients were identified and included in this study and were further randomized into the training and validation cohorts in a 7:3 ratio. The age-adjusted incidence of ASCC declined from 0.19 to 0.09 cases per 100,000 person-years between 2000 and 2017, with an annual percentage change of -4.05% (P&lt;0.05). We identified age, tumor grade, FIGO stage, tumor size, and surgical procedure as independent predictors for CSS in ASCC patients and constructed a nomogram to predict the 3- and 5-year CSS using these prognostic factors. The calibration curve indicated an outstanding consistency between the nomogram prediction and actual observation in both the training and testing cohorts. The C-index was 0.7916 (95% CI: 0.7990-0.8042) and 0.8148 (95% CI: 0.7954-0.8342) for the training and testing cohorts, respectively, indicating an excellent discrimination ability of the nomogram. The DCA showed that the nomogram exhibited more clinical benefits than the FIGO staging system.ConclusionsWe established and validated an accurate predictive nomogram for ASCC patients based on several clinical characteristics. This model might serve as a useful tool for clinicians to estimate the prognosis of ASCC patients.

Impact of cardiac comorbidity on use and outcomes of adjuvant chemotherapy (ADJ) for colorectal cancer (CRC): A real-world population-based study.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 491-491
Author(s):  
Shiru Lucy Liu ◽  
Sharlene Gill ◽  
Winson Y. Cheung
Keyword(s):  
Regression Models ◽  
Cox Regression ◽  
Population Based ◽  
World Population ◽  
Cancer Specific Survival ◽  
Population Based Study ◽  
Kaplan Meier ◽  
Comorbidity Index ◽  
Resected Stage ◽  
Cardiac Comorbidity

491 Background: Cardiac comorbidities such as myocardial infarction (MI) and congestive heart failure (CHF) may pose challenges in the treatment of CRC. As the population ages, cancer patients (pts) will be increasingly affected by cardiac comorbidities. We performed a population-based analysis of CRC to evaluate the prevalence of MI and CHF, use of ADJ, and survival outcomes. Methods: We evaluated 8601 pts diagnosed with resected stage 2 or 3 CRC from 2004 to 2015 in Alberta, Canada. Baseline patient, tumor, and treatment characteristics were compared between those with and without MI or CHF. Survival analysis was conducted using Kaplan-Meier methods and Cox regression models. Results: In total, 506 (5.9%) patients (pts) had MI and 440 (5.1%) had CHF. CRC patients with prior MI or CHF were older (median 76 and 79 years, respectively) and had worse Charlson Comorbidity Index (median CCI 2 for both) than those without cardiac comorbidities (median age 67 and CCI 0) (p < 0.001). Only 24% and 15% of pts with a MI or CHF history, respectively, received ADJ when compared to their counterparts (52% and 53%, respectively, p < 0.001). Among those who received ADJ (N = 3409), an oxaliplatin-based regimen was used in 26% of MI pts versus 42% of those without MI (p = 0.002), and in 31% of CHF pts versus 42% of those without CHF. Kaplan-Meier analysis revealed significantly worse overall survival (OS) in pts with prior MI (9.1 vs 4.3 years, p < 0.001) or CHF (9.2 vs. 2.7 years, p < 0.001) when compared to those without. However, cancer-specific survival (CSS) was not statistically different with or without MI (p = 0.348) and with or without CHF (p = 0.611). In Cox regression that adjusted for use of ADJ, MI was no longer a significant predictor of OS (HR = 1.01, 95% confidence interval (CI) 0.88-1.15), but CHF remained significant (HR 0.65, 95% CI 0.57-0.74). Neither MI nor CHF were predictors of CSS (HR 1.09, 95% CI 0.98-1.33, and HR 0.94, 95% CI 0.77-1.15). Conclusions: CRC pts with MI or CHF experienced lower use of ADJ and worse OS, but no difference in CSS was observed. ADJ-treated pts with prior MI appeared to benefit while worse outcomes in pts with prior CHF appear to be driven by non-cancer related causes.

Sign in / Sign up

Export Citation Format

Share Document