EPH207 Assessing Secular Trends in Cancer Stage at Initial Diagnosis in the United States Community Oncology Setting from 2015 to 2023

Value in Health · 2024-06-01

Elevating Capitalism: Government’s Indispensable Role

Ethical economy · 2024-01-01

Supplementary Tables 1 - 13 from Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers

2023-03-31

<p>PDF file - 62K, 1.1 Prostate cancer. 1.2 Colon, rectal, and colorectal cancer. 1.3 Breast cancer. 1.4 Other genitourinary cancer. 1.5 Melanoma. 1.6 Other gastrointestinal cancer. 1.7 Thoracic cancer. 1.8 Head and neck cancer. 1.9 Gynecologic cancer. 1.10 Soft tissue cancer. 1.11 Endocrine cancer. 1.12 Hematologic cancer. 1.13 Nervous system cancer.</p>

Supplementary Tables 1 - 13 from Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers

2023-03-31

<p>PDF file - 62K, 1.1 Prostate cancer. 1.2 Colon, rectal, and colorectal cancer. 1.3 Breast cancer. 1.4 Other genitourinary cancer. 1.5 Melanoma. 1.6 Other gastrointestinal cancer. 1.7 Thoracic cancer. 1.8 Head and neck cancer. 1.9 Gynecologic cancer. 1.10 Soft tissue cancer. 1.11 Endocrine cancer. 1.12 Hematologic cancer. 1.13 Nervous system cancer.</p>

Data from Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers

2023-03-31

<div>Abstract<p>Cancer prognosis is of keen interest for patients with cancer, their caregivers, and providers. Prognostic tools have been developed to guide patient–physician communication and decision-making. Given the proliferation of prognostic tools, it is timely to review existing online cancer prognostic tools and discuss implications for their use in clinical settings. Using a systematic approach, we searched the Internet, Medline, and consulted with experts to identify existing online prognostic tools. Each was reviewed for content and format. Twenty-two prognostic tools addressing 89 different cancers were identified. Tools primarily focused on prostate (<i>n</i> = 11), colorectal (<i>n</i> = 10), breast (<i>n</i> = 8), and melanoma (<i>n</i> = 6), although at least one tool was identified for most malignancies. The input variables for the tools included cancer characteristics (<i>n</i> = 22), patient characteristics (<i>n</i> = 18), and comorbidities (<i>n</i> = 9). Effect of therapy on prognosis was included in 15 tools. The most common predicted outcome was cancer-specific survival/mortality (<i>n</i> = 17). Only a few tools (<i>n</i> = 4) suggested patients as potential target users. A comprehensive repository of online prognostic tools was created to understand the state-of-the-art in prognostic tool availability and characteristics. Use of these tools may support communication and understanding about cancer prognosis. Dissemination, testing, refinement of existing, and development of new tools under different conditions are needed. <i>Cancer Epidemiol Biomarkers Prev; 22(10); 1645–56. ©2013 AACR</i>.</p></div>

Data from Predicting Cancer Prognosis Using Interactive Online Tools: A Systematic Review and Implications for Cancer Care Providers

2023-03-31

<div>Abstract<p>Cancer prognosis is of keen interest for patients with cancer, their caregivers, and providers. Prognostic tools have been developed to guide patient–physician communication and decision-making. Given the proliferation of prognostic tools, it is timely to review existing online cancer prognostic tools and discuss implications for their use in clinical settings. Using a systematic approach, we searched the Internet, Medline, and consulted with experts to identify existing online prognostic tools. Each was reviewed for content and format. Twenty-two prognostic tools addressing 89 different cancers were identified. Tools primarily focused on prostate (<i>n</i> = 11), colorectal (<i>n</i> = 10), breast (<i>n</i> = 8), and melanoma (<i>n</i> = 6), although at least one tool was identified for most malignancies. The input variables for the tools included cancer characteristics (<i>n</i> = 22), patient characteristics (<i>n</i> = 18), and comorbidities (<i>n</i> = 9). Effect of therapy on prognosis was included in 15 tools. The most common predicted outcome was cancer-specific survival/mortality (<i>n</i> = 17). Only a few tools (<i>n</i> = 4) suggested patients as potential target users. A comprehensive repository of online prognostic tools was created to understand the state-of-the-art in prognostic tool availability and characteristics. Use of these tools may support communication and understanding about cancer prognosis. Dissemination, testing, refinement of existing, and development of new tools under different conditions are needed. <i>Cancer Epidemiol Biomarkers Prev; 22(10); 1645–56. ©2013 AACR</i>.</p></div>

Mandatory CSR Disclosure Regulation, Sustainable Operations Strategies, and Environmental Innovation

Academy of Management Proceedings · 2023-07-24

Drawing upon optimal distinctiveness theory, this paper examines the effects of Chinese mandatory corporate social responsibility (CSR) disclosure policy on firms’ sustainable operations strategies and environmental innovation performance. Our database covers seven years and 11753 observations of Chinese publicly listed firms. Using a quasi-natural experiment research design, we find that mandatory CSR disclosure regulation in China encourages firms to carry out sustainable operations strategies that provide legitimacy and competitive advantages. The practices firms adopt to achieve these ends include environmentally friendly product development, the implementation of emission reduction and energy-saving technologies, and the introduction of circular business models. Our results reveal that mandatory CSR disclosure regulation also has a positive impact on environmental innovation patents and citations. Before reaching conclusions and drawing implications, we explore the moderating roles of pollution level and market competition intensity on these relations.

Perceptions of Opportunity and Fear of Failure: Does the National Demography Matter?

Academy of Management Proceedings · 2022-07-06

Focusing on demographic transitions, we develop a theoretical framework grounded in the sense making literature that suggests that people in nations undergoing demographic transitions relate their entrepreneurial behavior to perceptions of enhanced opportunity and fear of failure. Prior studies in the entrepreneurship literature scrutinized these two tendencies separately. Our argument is that they operate in tandem that demographic deficits unleash both perceptions of opportunity and fear of failure. We also maintain that government policies to promote private sector development moderate these relationships. Using a database that covers fourteen years, and 67 countries, we test hypotheses derived from the framework and obtain results that are mostly consistent with it. We discuss the implications of our study for the potential entrepreneurs and policymakers in the conclusion.

Doing business in violence-prone nations: youth bulges and busts

Edward Elgar Publishing eBooks · 2021-11-23

This chapter considers whether when a population experiences a youth bulge, it influences violent conflict and whether violent conflict tends to fall when youth bulges are followed by busts. Since previous analyses have established a strong relationship between youth bulges and violent conflict, this chapter tries to advance knowledge by analyzing what happens when youth bulges come to an end and are followed by youth busts. This question is particularly relevant and important as population growth in many parts of the world has started to slow and in some cases to actually shrink. To treat these questions the chapter starts with a discussion of dangers for firms of doing business in violence prone nations. Then, it explores arguments for why a relationship should exist between youth bulges, busts, and violence. Next comes an empirical analysis that addresses the degree to which these relationships hold in the countries analyzed from 1997-2005.