Can a gastric cancer risk survey identify high-risk patients for endoscopic screening? A pilot study

Haejin In, Marisa Langdon-Embry, Lauren Gordon, Clyde B. Schechter, Judith Wylie-Rosett, Philip E. Castle, M. Margaret Kemeny, Bruce D. Rapkin

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. Methods: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. Results: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. Conclusions: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.

Original languageEnglish (US)
JournalJournal of Surgical Research
DOIs
StateAccepted/In press - Jan 1 2018

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Stomach Neoplasms
Logistic Models
Emigration and Immigration
Primary Health Care
Acculturation
Focus Groups
Early Detection of Cancer
Habits
Cluster Analysis
Surveys and Questionnaires
Regression Analysis
Parturition
Diet
Education
Food
Population

Keywords

  • Early detection of gastric cancer
  • Gastric cancer screening
  • Risk assessment questionnaire
  • Risk prediction model

ASJC Scopus subject areas

  • Surgery

Cite this

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title = "Can a gastric cancer risk survey identify high-risk patients for endoscopic screening? A pilot study",
abstract = "Background: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. Methods: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. Results: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. Conclusions: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.",
keywords = "Early detection of gastric cancer, Gastric cancer screening, Risk assessment questionnaire, Risk prediction model",
author = "Haejin In and Marisa Langdon-Embry and Lauren Gordon and Schechter, {Clyde B.} and Judith Wylie-Rosett and Castle, {Philip E.} and {Margaret Kemeny}, M. and Rapkin, {Bruce D.}",
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AU - In, Haejin

AU - Langdon-Embry, Marisa

AU - Gordon, Lauren

AU - Schechter, Clyde B.

AU - Wylie-Rosett, Judith

AU - Castle, Philip E.

AU - Margaret Kemeny, M.

AU - Rapkin, Bruce D.

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N2 - Background: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. Methods: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. Results: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. Conclusions: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.

AB - Background: A questionnaire that distinguishes how variability in gastric cancer prevalence is associated with ethnicity/birth country/immigration/cultural diet along with known risk factors may improve targeting populations for gastric cancer screening in the United States. Methods: Existing literature was used to identify the item pool. Cluster analysis, focus groups, and cognitive interviewing were used to reduce collinear items and refine the questionnaire. Logistic regression analysis was used to determine which items distinguished gastric cancer cases from the primary care and community controls. Results: The results of analysis of data from 40 cases and 100 controls (primary care = 47; community = 53) were used to reduce the 227 item pool to 12 items. After ranking these variables using model bootstrapping, a logistic regression model using the highest ranked eight variables was chosen as the final model. Older age, foreign nativity, daily consumption of cultural food at ages 15-18, less than high-school education, and greater acculturation were significantly associated with being a gastric cancer case compared with the controls. Conclusions: An eight-item survey that addresses gastric cancer risk factors, ethnicity, cultural habits, and immigration patterns has potential to identify high-risk persons from multicultural areas within the US, who might benefit from endoscopic screening for gastric cancer.

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