The anyang esophageal cancer cohort study: Study design, implementation of fieldwork, and use of computer-aided survey system

34Citations
Citations of this article
32Readers
Mendeley users who have this article in their library.

Abstract

Background: Human papillomavirus (HPV) has been observed repeatedly in esophageal squamous cell carcinoma (ESCC) tissues. However, the causal relationship between HPV infection and the onset of ESCC remains unknown. A large cohort study focusing on this topic is being carried out in rural Anyang, China. Methodology/Principal Findings: The Anyang Esophageal Cancer Cohort Study (AECCS) is a population-based prospective endoscopic cohort study designed to investigate the association of HPV infection and ESCC. This paper provides information regarding the design and implementation of this study. In particular we describe the recruitment strategies and quality control procedures which have been put into place, and the custom designed computer-aided survey system (CASS) used for this project. This system integrates barcode technology and unique identification numbers, and has been developed to facilitate real-time data management throughout the workflow using a wireless local area network. A total of 8,112 (75.3%) of invited subjects participated in the baseline endoscopic examination; of those invited two years later to take part in the first cycle of follow-up, 91.9% have complied. Conclusions/Significance: The AECCS study has high potential for evaluating the causal relationship between HPV infection and the occurrence of ESCC. The experience in setting up the AECCS may be beneficial for others planning to initiate similar epidemiological studies in developing countries. © 2012 Liu et al.

Cite

CITATION STYLE

APA

Liu, F., Guo, F., Zhou, Y., He, Z., Tian, X., Guo, C., … Ke, Y. (2012). The anyang esophageal cancer cohort study: Study design, implementation of fieldwork, and use of computer-aided survey system. PLoS ONE, 7(2). https://doi.org/10.1371/journal.pone.0031602

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free