Dataset Information

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool-Surveillance, Epidemiology, and End Results Cancer Survival Calculator.

ABSTRACT: Population datasets and the Internet are playing an ever-growing role in the way cancer information is made available to providers, patients, and their caregivers. The Surveillance, Epidemiology, and End Results Cancer Survival Calculator (SEER*CSC) is a Web-based cancer prognostic tool that uses SEER data, a large population dataset, to provide physicians with highly valid, evidence-based prognostic estimates for increasing shared decision-making and improving patient-provider communication of complex health information.The aim of this study was to develop, test, and implement SEER*CSC.An iterative approach was used to develop the SEER*CSC. Based on input from cancer patient advocacy groups and physicians, an initial version of the tool was developed. Next, providers from 4 health care delivery systems were recruited to do formal usability testing of SEER*CSC. A revised version of SEER*CSC was then implemented in two health care delivery sites using a real-world clinical implementation approach, and usage data were collected. Post-implementation follow-up interviews were conducted with site champions. Finally, patients from two cancer advocacy groups participated in usability testing.Overall feedback of SEER*CSC from both providers and patients was positive, with providers noting that the tool was professional and reliable, and patients finding it to be informational and helpful to use when discussing their diagnosis with their provider. However, use during the small-scale implementation was low. Reasons for low usage included time to enter data, not having treatment options in the tool, and the tool not being incorporated into the electronic health record (EHR). Patients found the language in its current version to be too complex.The implementation and usability results showed that participants were enthusiastic about the use and features of SEER*CSC, but sustained implementation in a real-world clinical setting faced significant challenges. As a result of these findings, SEER*CSC is being redesigned with more accessible language for a public facing release. Meta-tools, which put different tools in context of each other, are needed to assist in understanding the strengths and limitations of various tools and their place in the clinical decision-making pathway. The continued development and eventual release of prognostic tools should include feedback from multidisciplinary health care teams, various stakeholder groups, patients, and caregivers.

SUBMITTER: Henton M

PROVIDER: S-EPMC5544898 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

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Project description:BackgroundAt present, there are few studies on renal pelvic transitional cell carcinoma (RPTCC) in elderly patients in the literature. The study aims to establish a new nomogram of cancer-specific survival (CSS) in elderly patients with T1-T3N0M0 RPTCC and validate its reliability.MethodsThis study downloaded the data of 1375 elderly patients with T1-T3N0M0 RPTCC in the Surveillance, Epidemiology, and Final Results (SEER) database from 2004 to 2018. Patients were randomly divided into training cohort (n = 977) and validation cohort (n = 398). Proportional subdistribution hazard analyse was applied to determine independent prognostic factors. Based on these factors, we constructed a compting risk model nomogram. We use the calibration plots, the area under the receiver operating characteristics curve (AUC), concordance index (C-index), and decision curve analysis (DCA) to validate predictive performance and clinical applicability. Patients were divided into low-risk group and high-risk group based on nomogram risk score. Kaplan-Meier curve was applied to analyze the difference in survival curve between the two groups of patients.ResultsWe found that the risk factors affecting CSS in elderly patients with T1-T3N0M0 RPTCC are surgery, AJCC stage, laterality, tumor size, histological grade, and tumour laterality. Based on these factors, we established a nomogram to predict the CSS of RPTCC patients at 1-, 3-, and 5-year. The calibration plots showed that the predicted value was highly consistent with the observed value. In the training cohort and validation cohort, the C-index of the nomogram were 0.671(95% CI 0.622-0.72) and 0.679(95% CI 0.608-0.750), respectively, the AUC showed similar results. The DCA suggests that namogram performs better than the AJCC stage system. The Kaplan-Meier curve showed that CSS of patients was significantly higher in the low-risk group.ConclusionsIn this study, the SEER database was used for the first time to create and validate a new nomogram prediction model for elderly patients with T1-T3N0M0 RPTCC. Compared with the traditional AJCC stage system, our new nomogram can more accurately predict the CSS of elderly patients with T1-T3N0M0 RPTCC, which is helpful for patient prognosis assessment and treatment strategies selection.

Project description:Background:Esophageal cancer is the sixth leading cause of cancer-related deaths and the eighth most common cancer worldwide with a 5-year survival rate of less than 25%. Here we report the incidence, risk factors and treatment options that are available currently, and moving into the future. Methods:We retrospectively analyzed the Surveillance Epidemiology and End Results (SEER) database made available by the National Cancer Institute in the USA. Specifically we extracted data from the years 2004 - 2015. Results:In total we identified 23,804 patients with esophageal adenocarcinoma and 13,919 patients with esophageal squamous cell carcinoma. Males were at an increased risk of developing both types of esophageal cancer when compared to females. Most cases of adenocarcinoma were diagnosed as poorly differentiated grade III (42%), and most cases of squamous cell carcinoma were diagnosed as moderately differentiated grade II (39.5%). The most common stage of presentation for both adenocarcinoma (36.9%) and squamous cell (26.8%) carcinoma was stage IV. The worst outcomes for adenocarcinoma were noted with grade III tumors (hazard ratio (HR): 1.56, 95% confidence interval (CI): 1.44 - 1.68, P value: < 0.01), stage IV tumors (HR: 3.58, 95% CI: 3.33 - 3.85, P value: < 0.01) and those not treated with surgery (HR: 2.54, 95% CI: 2.44 - 2.65, P value: < 0.01). For squamous cell carcinoma, the worst outcomes were noted with grade III tumors (HR: 1.35, 95% CI: 1.23 - 1.49, P value: < 0.01), stage IV tumors (HR: 2.12, 95% CI: 1.94 - 2.32, P value: <0.01). Conclusions:The incidence of esophageal adenocarcinoma in the USA is steadily on the rise. Conversely, the incidence of squamous cell carcinoma has been continually declining. While white males had an increased incidence of both types of esophageal cancer, a higher proportion of African Americans suffered from squamous cell carcinoma. Despite the wide spread use of proton pump inhibitors, adenocarcinoma continues to be a major public health concern.

Dataset Information

Development, Feasibility, and Small-Scale Implementation of a Web-Based Prognostic Tool-Surveillance, Epidemiology, and End Results Cancer Survival Calculator.

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