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 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.

A nomogram for predicting overall survival in patients with uterine leiomyosarcoma: a SEER population-based study

2020 ◽  
Vol 16 (10) ◽  
pp. 573-584
Author(s):  
Yu-Jie Lu ◽  
Han Wang ◽  
Lin-Yan Fang ◽  
Wen-Jie Wang ◽  
Wei Song ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Marital Status ◽  
Tumor Size ◽  
Multivariate Analyses ◽  
Predictive Accuracy ◽  
Population Based ◽  
Uterine Leiomyosarcoma ◽  
Population Based Study ◽  
End Results

Aim: To establish and validate a nomogram for the estimation of overall survival of patients with uterine leiomyosarcoma (uLMS). Methods: Information on patients diagnosed as uLMS was retrospectively retrieved from the Surveillance, Epidemiology, and End Results database. The patients were randomly assigned into the training and the validation cohorts. Univariate and multivariate analyses were used to determine the independent prognostic factors for building a nomogram for predicting overall survival. The predictive accuracy was evaluated based on the concordance indices and the calibration plots. Results: A nomogram that combined age, marital status, tumor size, Surveillance, Epidemiology, and End Result stage, surgery and radiation was established. The internal and external concordance indices were 0.748 and 0.745, respectively. The calibration plots approached 45 degrees. Conclusion: The nomogram might be an effective tool for predicting the survival of patients with uLMS.

scholarly journals Epidemiology, tumor characteristics and survival in patients with angiosarcoma in the United States: a population-based study of 4537 cases

2019 ◽  
Vol 49 (12) ◽  
pp. 1092-1099 ◽  
Author(s):  
Chao Zhang ◽  
Guijun Xu ◽  
Zheng Liu ◽  
Yao Xu ◽  
Feng Lin ◽  
...  
Keyword(s):  
United States ◽  
Overall Survival ◽  
Cox Regression ◽  
Tumor Grade ◽  
The United States ◽  
Population Based ◽  
Primary Site ◽  
Population Based Study ◽  
Primary Angiosarcoma ◽  
End Results

Abstract Objective Limited by sample size, angiosarcoma was rarely studied. We aimed to investigate the characteristics and prognosis of angiosarcoma in the National Cancer Institute’s Surveillance, Epidemiology and End Results database. Methods Patients who were diagnosed with primary angiosarcoma from 1973 to 2014 were extracted from the Surveillance, Epidemiology and End Results database. Kaplan–Meier analysis was used to estimate the overall survival, and the difference between groups was tested by the log-rank test. Multivariate Cox regression analyses were employed to identify prognostic factors for primary angiosarcoma. Results A total of 4537 patients with angiosarcoma were included with the median age of 69 years. The median overall survival was 82.1 (95% confidence interval: 76.5–87.7) months. Overall 1-, 2- and 5-year survival rates were 55.2 ± 0.7, 41.0 ± 0.7 and 26.3 ± 0.7%, respectively. In the univariate analysis, age, gender, marital status, race, primary site, tumor grade, tumor size, Surveillance, Epidemiology and End Results historic stage and the surgery of primary site were significantly associated with overall survival. Multivariate Cox regression showed that factors including the patients older than 69 years, male, unmarried status, other primary sites, grades (III and IV), tumor size ≥ 5 cm, regional and distant stage and non-surgery were independently associated with poor survival. The results were consistent after excluding the patients in IV stages. Conclusions This large population-based study comprehensively described the survival rate and prognostic factors for angiosarcoma in the United States. Age, gender, marital status, primary sites, tumor grade and size and historic stage were determinants of survival, and surgery can improve the prognosis of patients with angiosarcoma.

scholarly journals Nomogram for predicting overall survival of patients with bladder cancer: A population-based study

2020 ◽  
Vol 35 (2) ◽  
pp. 29-39
Author(s):  
Jiawu Wang ◽  
Yan Wu ◽  
Weiyang He ◽  
Bo Yang ◽  
Xin Gou
Keyword(s):  
Overall Survival ◽  
Bladder Cancer ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Population Based ◽  
Discrimination Power ◽  
Population Based Study ◽  
Primary Tumors ◽  
Stage System ◽  
Individualized Prediction

Objective: The aim of this study was to develop and validate a reliable nomogram to estimate overall survival in bladder cancer. Method: Patients diagnosed with bladder cancer identified in the Surveillance, Epidemiology, and End Results database were randomly divided into training and validation cohorts. The powerful prognostic variables were examined using Cox regression analyses. A nomogram was developed on the prognostic factors. Results: The results suggested that age, sex, race, grade, histologic type, primary site, pathological stage, surgical treatment, and number of primary tumors, were the powerful prognostic factors. All these factors were integrated to construct the nomogram. The nomogram for predicting overall survival showed better discrimination power than the tumor-node-metastasis (TNM) stage system 8th edition. Conclusion: The nomogram has the potential to provide an individualized prediction of overall survival in patients with bladder cancer.

scholarly journals Prognostic Association between Common Laboratory Tests and Overall Survival in Elderly Men with De Novo Metastatic Castration Sensitive Prostate Cancer: A Population-Based Study in Canada

Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2844
Author(s):  
Christopher J. D. Wallis ◽  
Bobby Shayegan ◽  
Scott C. Morgan ◽  
Robert J. Hamilton ◽  
Ilias Cagiannos ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Overall Survival ◽  
Clinical Decision Making ◽  
Cox Regression ◽  
De Novo ◽  
Population Based ◽  
Population Based Study ◽  
Cox Regression Analysis ◽  
Lymphocyte Ratio ◽  
Laboratory Markers

De novo cases of metastatic prostate cancer (mCSPC) are associated with poorer prognosis. To assist in clinical decision-making, we aimed to determine the prognostic utility of commonly available laboratory-based markers with overall survival (OS). In a retrospective population-based study, a cohort of 3556 men aged ≥66 years diagnosed with de novo mCSPC between 2014 and 2019 was identified in Ontario (Canada) administrative database. OS was assessed by using the Kaplan–Meier method. Multivariate Cox regression analysis was performed to evaluate the association between laboratory markers and OS adjusting for patient and disease characteristics. Laboratory markers that were assessed include neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), albumin, hemoglobin, serum testosterone and PSA kinetics. Among the 3556 older men with de novo mCSPC, their median age was 77 years (IQR: 71–83). The median survival was 18 months (IQR: 10–31). In multivariate analysis, a statistically significant association with OS was observed with all the markers (NLR, PLR, albumin, hemoglobin, PSA decrease, reaching PSA nadir and a 50% PSA decline), except for testosterone levels. Our findings support the use of markers of systemic inflammation (NLR, PLR and albumin), hemoglobin and PSA metrics as prognostic indicators for OS in de novo mCSPC.

Demographic, Clinical, and Prognostic Factors of Ovarian Clear Cell Adenocarcinomas According to Endometriosis Status

2017 ◽  
Vol 27 (9) ◽  
pp. 1804-1812 ◽  
Author(s):  
Tine H. Schnack ◽  
Estrid Høgdall ◽  
Lotte Nedergaard Thomsen ◽  
Claus Høgdall
Keyword(s):  
Overall Survival ◽  
Prognostic Factors ◽  
Cox Regression ◽  
Clear Cell ◽  
Statistical Tests ◽  
Gynecological Cancer ◽  
Population Based ◽  
Clear Cell Adenocarcinoma ◽  
Ovarian Endometriosis ◽  
Increased Risk

ObjectivesWomen with endometriosis carry an increased risk for ovarian clear cell adenocarcinomas (CCCs). Clear cell adenocarcinoma may develop from endometriosis lesions. Few studies have compared clinical and prognostic factors and overall survival in patients diagnosed as having CCC according to endometriosis status.MethodsPopulation-based prospectively collected data on CCC with coexisting pelvic (including ovarian; n = 80) and ovarian (n = 46) endometriosis or without endometriosis (n = 95) were obtained through the Danish Gynecological Cancer Database. χ2 Test, independent-samples t test, logistic regression, Kaplan-Meier test, and Cox regression were used. Statistical tests were 2 sided. P values less than 0.05 were considered statistically significant.ResultsPatients with CCC and pelvic or ovarian endometriosis were significantly younger than CCC patients without endometriosis, and a higher proportion of them were nulliparous (28% and 31% vs 17% (P = 0.07 and P = 0.09). Accordingly, a significantly higher proportion of women without endometriosis had given birth to more than 1 child. Interestingly, a significantly higher proportion of patients with ovarian endometriosis had pure CCCs (97.8% vs 82.1%; P = 0.001) as compared with patients without endometriosis. Overall survival was poorer among CCC patients with concomitant ovarian endometriosis (hazard ratio, 2.56 [95% confidence interval, 1.29–5.02], in the multivariate analysis.ConclusionsAge at CCC diagnosis and parity as well as histology differ between CCC patients with and without concomitant endometriosis. Furthermore, CCC patients with concomitant ovarian endometriosis have a poorer prognosis compared with endometriosis-negative CCC patients. These differences warrant further research to determine whether CCCs with and without concomitant endometriosis develop through distinct pathogenic pathways.

The risk and prognosis of secondary primary malignancy in lung cancer: a population-based study

2021 ◽  
Author(s):  
Jia Hong ◽  
Rongrong Wei ◽  
Chuang Nie ◽  
Anastasiia Leonteva ◽  
Xu Han ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Overall Survival ◽  
Cox Regression ◽  
Population Based ◽  
Second Primary ◽  
Second Primary Malignancy ◽  
Risk Models ◽  
Primary Malignancy ◽  
Population Based Study ◽  
Competing Risk Models

Aim: To assess and predict risk and prognosis of lung cancer (LC) patients with second primary malignancy (SPM). Methods: LC patients diagnosed from 1992 to 2016 were obtained through the Surveillance, Epidemiology, and End Results database. Standardized incidence ratios were calculated to evaluate SPM risk. Cox regression and competing risk models were applied to assess the factors associated with overall survival, SPM development and LC-specific survival. Nomograms were built to predict SPM probability and overall survival. Results & conclusion: LC patients remain at higher risk of SPM even though the incidence declines. Patients with SPM have a better prognosis than patients without SPM. The consistency indexes for nomograms of SPM probability and overall survival are 0.605 (95% CI: 0.598–0.611) and 0.644 (95% CI: 0.638–0.650), respectively.

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