Gordon TA Bowman HM Bass EB et al Complex gastrointestinal
24. Gordon TA, Bowman HM, Bass EB et al. Complex gastrointestinal surgery: Impact of provider experience on clinical and economic outcomes. J Am Coll Surg 1999;189(1):46-56
25. Glasgow RE, Showstack JA, Katz PP, Corvera CU, Warren RS, Mulvihill SJ. The relationship between hospital volume and outcomes of hepatic resection for hepatocellular carcinoma. Arch Surg 1999;134(1):30-35
26. Lin HC, Lin CC. Surgeon volume STA-4783 predictive of 5-year survival in patients with hepatocellular carcinoma after resection: A population-based study. Journal of Gastrointestinal Surgery: 2009;13(12):2284-2291
27. Speicher PJ, Englum BR, Ganapathi AM et al. Traveling to a high- volume center is associated 
with improved survival for patients with esophageal cancer. Annals of Surgery 2017;265(4):743-749
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Table 1: Tumor characteristics, perioperative, and survival outcomes
Variable
Adjuvant
Neoadjuvant
Chemoradiation
Surgery Only
P-Valuea
Distance from Incisors to Proximal Edge
Margin Status
Grade Differentiation b
T-Stage b
N-Stageb
AJCC TNM Staging b
Adjusted Survival Rates
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b Pathologic data, if unknown: clinical data.
Abbreviations: AJCC, American Joint Committee on Cancer; not applicable, N/A.
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Figure Legends
Figure 1: CONSORT flow diagram depicting inclusion and exclusion into the study.
Figure 2: Unadjusted Kaplan-Meier (A) and adjusted (B) survival curves for all patients stratified by treatment group. P value for unadjusted comparison is provided on the plot and there was no p value for the adjusted comparison.
Figure 3: Unadjusted Kaplan-Meier (A) and adjusted (B) survival curves for all patients stratified by annual surgical volume. P value for unadjusted comparison is provided on the plot and there was no p value for the adjusted comparison.
Figure 4: Adjusted survival curves stratified by annual surgical volume and treatment group: adjuvant (A), neoadjuvant (B), surgery alone (C), and definitive chemoradiation (D). Note: Maximum follow up in the adjuvant therapy group was 8 years in facilities performing 20 or more esophagectomies per year and limited the survival analysis at 8 years.
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Contents lists available at ScienceDirect
Patient Education and Counseling
Analyzing paths from online health information seeking to colorectal cancer screening using health literacy skills frame and cognitive mediation model
Seok Won Jina,*, Yeonggeul Leeb, David A. Diac
b Department of Social Welfare, University of Seoul, 163 Seoulsiripdaero, Dongdaemun-gu, Seoul 02504, South Korea
Article history:
Keywords:
Colorectal cancer screening Health literacy
Online health information seeking
Health literacy skills frame
Cognitive mediation model
Path analysis
Objective: To test the hypothesized paths for Online Health Information Seeking (OHIS) behaviors in developing health literacy, leading to colorectal cancer (CRC) screening among Korean Americans (KAs) using Health Literacy Skills Frameworks (HLSF) and Cognitive Mediation Model (CMM).
Methods: A total of 433 KAs aged 50 through 75 in a metropolitan area in the Southeastern U.S. completed a cross-sectional survey regarding sociodemographics, OHIS behaviors, information overload, health literacy, decisional balance, and CRC screening history. Path analyses were implemented to assess the hypothesized causal models by examining the relationships among growth hormone (GH) variables.