scholarly journals Analysis of Clinical Characteristics and Prognosis of Patients With Stages I-III Colon Cancer Based on Seer Data

2021 ◽  
Author(s):  
Fuqiang Zhao ◽  
Ying Sun ◽  
Jie Ge ◽  
Chunlei Zheng ◽  
Kepeng Ning ◽  
...  
Keyword(s):  
Colon Cancer ◽  
Marital Status ◽  
Tumor Grade ◽  
The United States ◽  
Related Factors ◽  
Web Based ◽  
Factors Affecting ◽  
T Stage ◽  
N Stage ◽  
The Web

Abstract Objective: This study analyzes the clinical features and prognosis of stages Ⅰ-Ⅲ colon cancer, and constructs a nomogram to predict the prognosis of patients. Methods: We included data from patients with stages Ⅰ-Ⅲ colon cancer confirmed by pathology after surgical treatment in the United States SEER (Surveillance, Epidemiology, and End Results) database from 2010-2015. The included patients are randomly divided into training cohorts and validation cohorts (ratio 1:1).The independent related factors of the prognosis of colon cancer patients were used to construct the nomogram and the web-based probability calculator.Concordance index (C-index) and calibration curve are used to evaluate the accuracy of the model. Results: After univariate and multivariate analysis, it was indicated that age, marital status, tumor grade, t-stage and n-stage were independent factors affecting prognosis of patients with stages Ⅰ-Ⅲ colon cancer. We built a nomogram and the web-based probability calculator based on this, and its C-index was 0.781 (95% CI: 0.77414–0.78786), and were superior to that of AJCC TNM Stage (C-index: 0.734, 95%CI: 0.72616–0.74184). The consistency test showed that the nomogram can effectively predict the prognosis of patients. The validation cohort confirms the reliability of the model. Conclusion: Age, marital status, tumor grade, t-stage and n-stage are independent factors affecting the prognosis of patients with stages Ⅰ-Ⅲ colon cancer. The nomogram we constructed in this way can better predict the prognosis of patients with stages Ⅰ-Ⅲ colon cancer.

Issues in Using Web-Based Course Resources

2010 ◽  
pp. 1771-1779
Author(s):  
Karen S. Nantz ◽  
Norman A. Garrett
Keyword(s):  
United States ◽  
Online Courses ◽  
The United States ◽  
The Internet ◽  
Web Based ◽  
Course Materials ◽  
Socially Isolated ◽  
Rss Feeds ◽  
E Mail ◽  
The Web

Education over the Internet is going to be so big it is going to make e-mail usage look like a rounding error. John Chambers, Cisco Systems, New York Times, November 17, 1990 Web-based courses (Mesher, 1999) are defined as those where the entire course is taken on the Internet. In some courses, there may be an initial meeting for orientation. Proctored exams may also be given, either from the source of the Web-based course or off-site at a testing facility. The Internet-based course becomes a virtual classroom with a syllabus, course materials, chat space, discussion list, and e-mail services (Resmer, 1999). Navarro (2000) provides a further definition: a fully interactive, multimedia approach. Current figures indicate that 12% of Internet users in the United States use the Internet to take an online course for credit toward a degree of some kind (Horrigan, 2006). That number is indicative of the rapid proliferation of online courses over the past several years. The Web-enhanced course is a blend with the components of the traditional class while making some course materials available on a Web site, such as course syllabi, assignments, data files, and test reviews. Additional elements of a Web-enhanced course can include online testing, a course listserver, instructor-student e-mail, collaborative activities using RSS feeds and related technologies, and other activities on the Internet. One of the biggest concerns about Web-based courses is that users will become socially isolated. The Pew Internet and America Life Project found that online communities provide a vibrant social community (Horrigan, Rainie, & Fox, 2001). Clearly, students are not concerned or feel that other benefits outweigh the potential drawbacks. According to government research (Waits and Lewis, 2003), during the 2000-2001 academic year alone, an estimated 118,100 different credit courses were offered via distance education (with the bulk of that using Internet-based methods) by 2- and 4-year institutions in the United States. Over 3 million students were registered in these courses. Navarro (2000) suggests that faculty members are far more likely to start by incorporating Internet components into a traditional course rather than directly offering Web-based courses. These Web-enhanced courses might be considered the transition phase to the new paradigm of Internet-based courses. Rich learning environments are being created, with a shift from single tools to the use of multiple online tools, both to enhance traditional courses and to better facilitate online courses (Teles, 2002).

scholarly journals Marital Status and Dementia: Evidence from the Health and Retirement Study

2019 ◽  
Vol 75 (8) ◽  
pp. 1783-1795 ◽  
Author(s):  
Hui Liu ◽  
Zhenmei Zhang ◽  
Seung-won Choi ◽  
Kenneth M Langa
Keyword(s):  
Marital Status ◽  
The United States ◽  
Population Based ◽  
Cognitive Status ◽  
Baseline Survey ◽  
Health And Retirement Study ◽  
Related Factors ◽  
Never Married ◽  
Vulnerable Subpopulations ◽  
Retirement Study

Abstract Objectives We provide one of the first population-based studies of variation in dementia by marital status in the United States. Method We analyzed data from the Health and Retirement Study (2000–2014). The sample included 15,379 respondents (6,650 men and 8,729 women) aged 52 years and older in 2000 who showed no evidence of dementia at the baseline survey. Dementia was assessed using either the modified version of the Telephone Interview for Cognitive Status (TICS) or the proxy’s assessment. Discrete-time hazard regression models were estimated to predict odds of dementia. Results All unmarried groups, including the cohabiting, divorced/separated, widowed, and never married, had significantly higher odds of developing dementia over the study period than their married counterparts; economic resources and, to a lesser degree, health-related factors accounted for only part of the marital status variation in dementia. For divorced/separated and widowed respondents, the differences in the odds of dementia relative to married respondents were greater among men than among women. Discussion These findings will be helpful for health policy makers and practitioners who seek to better identify vulnerable subpopulations and to design effective intervention strategies to reduce dementia risk.

Adherence to Antiretroviral Therapy and Its Determinants Among HIV-Infected Patients in Nigeria

2016 ◽  
Vol 30 (3) ◽  
pp. 291-295 ◽  
Author(s):  
Valentine Uche Odili ◽  
Anthonia Obumneke Obieche ◽  
Kingsley Chiedu Amibor
Keyword(s):  
Antiretroviral Therapy ◽  
Adverse Effects ◽  
Marital Status ◽  
Antiretroviral Treatment ◽  
Frequent Occurrence ◽  
Central Hospital ◽  
Related Factors ◽  
Specific Patient ◽  
Factors Affecting ◽  
Daily Task

Purpose: The study investigated the level of adherence and factors affecting adherence to antiretroviral treatment (ART). Methods: The study sample consisted of 300 HIV-infected patients who received ART in the Antiretroviral Clinic of Central Hospital, Agbor, Delta State, Nigeria. Self-reported adherence to ART in the previous 1 month prior to the study as well as determinants of adherence were assessed using a questionnaire. Results: The most frequently used ART regimen was zidovudine + lamivudine + nevirapine. On the whole, a total of 33 (11%) respondents missed 3 doses or less in the previous month prior to the survey. There was a statistically significant association between adherence to ART and marital status, source of income, and occupation ( P < .05). The most commonly reported reasons for missed doses were forgetfulness (60.4%), busy daily task (18.3%), and avoiding being seen while taking medications (11%). Conclusion: The prevalence of adherence among the participants was high. However, more serious efforts are needed to reduce the number of in-adherent patients. Interventions to improve adherence to ART should address challenges such as forgetfulness among the patients and frequent occurrence of adverse effects and consider specific patient-related factors such as daily tasks.

Nomogram for predicting the benefit of neoadjuvant chemoradiotherapy for esophageal cancer: A SEER-Medicare analysis.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 4073-4073
Author(s):  
Robert Eil ◽  
Brian S. Diggs ◽  
Samuel J. Wang ◽  
James P. Dolan ◽  
John G. Hunter ◽  
...  
Keyword(s):  
Esophageal Cancer ◽  
Lymph Nodes ◽  
Neoadjuvant Chemoradiotherapy ◽  
Survival Prediction ◽  
Prediction Tool ◽  
Web Based ◽  
Specific Patient ◽  
T Stage ◽  
N Stage ◽  
The Impact

4073 Background: The impact of neoadjuvant chemoradiotherapy for esophageal cancer remains difficult to establish for specific patient (pt) populations. The primary aim of this study was to create a web-based prediction tool that provides individualized survival projections based on clinically relevant tumor and treatment data. Methods: Pts diagnosed with esophageal cancer between 1997 and 2005 were selected from the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The covariates chosen for retrospective analysis were: sex, T and N stage, histology, total lymph nodes examined, and receipt of neoadjuvant chemotherapy (CT), radiotherapy (RT), or chemoradiotherapy (CRT). After weighting correction by treatment groups, a log logistic regression model for overall survival (OS) was selected based on goodness of fit analysis. Based on bootstrap resampling with 100 repetitions the Concordance Index (CI) was 0.703. Results: 1,128 resected esophageal pts that either did or did not receive neoadjuvant treatment were appropriate for analysis. On log logistic multivariate analysis: age, sex, T stage, N stage, number of lymph nodes harvested, receipt of neoadjuvant CRT, and receipt of chemotherapy were significantly associated with OS. All T stages greater than 1 benefitted from neoadjuvant CRT (p=<0.001). No T stage benefitted from isolated neoadjuvant CT or RT. Patients with nodal metastases benefitted from neoadjuvant CRT (p=<0.001) and CT (p=0.002). Conclusions: SEER-Medicare pts with resected esophageal cancer can be used to produce a survival prediction tool that can: 1) serve as a counseling and decision aid to pts and caregivers regarding their postoperative prognosis and 2) assist in research protocol design. Patients T2 or greater or with lymph node metastases benefitted from neoadjuvant CRT based on our data. This nomogram may underestimate the benefit of neoadjuvant CRT due to its variable downstaging effect on final pathologic stage. This web based tool is available for use at http://skynet.ohsu.edu/nomograms .

Tumor sidedness, adjuvant chemotherapy (AC), and other factors affecting survival in patients with stage II colon cancer (CC-II).

2017 ◽  
Vol 35 (4_suppl) ◽  
pp. 768-768
Author(s):  
Shiva Kumar Reddy Mukkamalla ◽  
Donny V. Huynh ◽  
Ponnandai Sadasivan Somasundar ◽  
Ritesh Rathore
Keyword(s):  
Colon Cancer ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Tumor Grade ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Metastatic Colon Cancer ◽  
Chi Square ◽  
Factors Affecting ◽  
Academic Level

768 Background: The role of AC in CC-II is not well defined due to lack of conclusive randomized trial data. This updated analysis using National Cancer Database (NCDB) addresses the overall survival (OS) benefit from AC in CC-II using more refined and case appropriate population cohort. Methods: NCDB was queried for patients diagnosed with CC-II from 2004-2008 with survival information through 2013. Only those patients with pathologically confirmed CC diagnosis were included. Patients undergoing any surgical procedure less than a partial colectomy were excluded. Pearson Chi-square test, Kaplan Meier survival curves and Cox proportional hazards model were used for statistical analysis. Results: A cohort of 36,630 patients was identified for analysis. Elderly patients received less frequent AC (p < 0.0001) and AC was associated with an improved 5-year OS with no difference noted in outcomes from single or multi-agent regimens. AC was an independent predictor of OS regardless of age, gender, race, comorbidity index, insurance status, income level, year of diagnosis, tumor sidedness, tumor grade, adequacy of lymph node evaluation, pathologic tumor (pT) status, colectomy type, margin involvement or academic level of treating institution. In multivariate analysis, right-sided cancers had better survival outcomes compared to left-sided cancers (HR 0.91; p < 0.0001). Conclusions: This study validates previous findings of improved OS from AC in CC-II while addressing some of the shortcomings of prior retrospective studies. Only patients with CC-II without any other primary cancer diagnoses were included. To our knowledge this is the most uptodate analysis of AC in CC-II which includes cases diagnosed up to 2008. Our study found similar improvement in 5-year OS irrespective of chemotherapy regimen. Interestingly, improved OS was seen in right sided tumors compared to left sided tumors, in contrary to that seen with metastatic colon cancer (Venook et al). [Table: see text]

Issues in Using Web-Based Course Resources

2010 ◽  
pp. 2266-2272
Author(s):  
Karen S. Nantz ◽  
Norman A. Garrett
Keyword(s):  
United States ◽  
Online Courses ◽  
The United States ◽  
The Internet ◽  
Web Based ◽  
Course Materials ◽  
Socially Isolated ◽  
Rss Feeds ◽  
E Mail ◽  
The Web

Education over the Internet is going to be so big it is going to make e-mail usage look like a rounding error. John Chambers, Cisco Systems, New York Times, November 17, 1990 Web-based courses (Mesher, 1999) are defined as those where the entire course is taken on the Internet. In some courses, there may be an initial meeting for orientation. Proctored exams may also be given, either from the source of the Web-based course or off-site at a testing facility. The Internet-based course becomes a virtual classroom with a syllabus, course materials, chat space, discussion list, and e-mail services (Resmer, 1999). Navarro (2000) provides a further definition: a fully interactive, multimedia approach. Current figures indicate that 12% of Internet users in the United States use the Internet to take an online course for credit toward a degree of some kind (Horrigan, 2006). That number is indicative of the rapid proliferation of online courses over the past several years. The Web-enhanced course is a blend with the components of the traditional class while making some course materials available on a Web site, such as course syllabi, assignments, data files, and test reviews. Additional elements of a Web-enhanced course can include online testing, a course listserver, instructor-student e-mail, collaborative activities using RSS feeds and related technologies, and other activities on the Internet. One of the biggest concerns about Web-based courses is that users will become socially isolated. The Pew Internet and America Life Project found that online communities provide a vibrant social community (Horrigan, Rainie, & Fox, 2001). Clearly, students are not concerned or feel that other benefits outweigh the potential drawbacks. According to government research (Waits and Lewis, 2003), during the 2000-2001 academic year alone, an estimated 118,100 different credit courses were offered via distance education (with the bulk of that using Internet-based methods) by 2- and 4-year institutions in the United States. Over 3 million students were registered in these courses. Navarro (2000) suggests that faculty members are far more likely to start by incorporating Internet components into a traditional course rather than directly offering Web-based courses. These Web-enhanced courses might be considered the transition phase to the new paradigm of Internet-based courses. Rich learning environments are being created, with a shift from single tools to the use of multiple online tools, both to enhance traditional courses and to better facilitate online courses (Teles, 2002).

Factors Affecting Portal Design

2011 ◽  
pp. 402-407
Author(s):  
Xiuzhen Feng
Keyword(s):  
Single Point ◽  
Considerable Degree ◽  
End User ◽  
Multiple Sources ◽  
Web Browser ◽  
Web Based ◽  
Factors Affecting ◽  
Google Search ◽  
Client Device ◽  
The Web

The word portal has been citied in the literature as one of the most popular terms. A Google search on the Web for the word revealed 25.6 million entries in December2003. Due to a considerable degree of overuse and overlap, portals are seen everywhere and it would be difficult to make any use of the Web without encountering one (Tatnall, 2004). According to White (2000), a portal provides user-customizable access to information and applications through a Web browser. Tatnall (2004) specifies that a portal aggregates information from multiple sources and makes that information available to various users. In other words, a portal can be defined as an integrated and personalized Web-based application that provides the end user with a single point of access to a wide variety of aggregated content anytime and from anywhere using any Web-enabled client device.

Performance Testing

2006 ◽  
pp. 29-51
Author(s):  
B. M. Subraya
Keyword(s):  
Web Application ◽  
Performance Testing ◽  
Project Managers ◽  
The Other ◽  
Related Factors ◽  
Web Based ◽  
Factors Affecting ◽  
Client Server ◽  
Application Systems ◽  
Factors Affecting Performance

It is an accepted fact that no system is perfect from the viewpoint of performance. Problems pertaining to performance affect all types of systems, regardless as to whether they are client/server or Web application systems. It is imperative to understand the factors affecting performance of the system before embarking on the task of tackling them. The constraints affecting the performance may be many but can be broadly classified into (i) technical and (ii) project related factors. The former is very much pronounced in the case of Web-based systems, as the relevant technology has not attained the stage of maturity to address the issues on its own. On the other hand, the project managers struggle to develop an optimal system within the existing technology framework. This in turn, generates many project related factors sub optimizing the performance. Likewise, many factors affecting the performance of the system are discussed in this chapter. The subsequent chapters deal at length with the methods and strategies to tackle these factors.

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