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Jieun Jang et al.
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Yun-Suhk Suh et al.
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Amin Adibi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2020)
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Haejin In et al.
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Alexander Charles Ford et al.
GUT (2020)
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Laure Wynants et al.
BMJ-BRITISH MEDICAL JOURNAL (2020)
Estimation of the performance of a risk prediction model for gastric cancer occurrence in Japan: Evidence from a small external population
Hadrien Charvat et al.
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Effect and cost-effectiveness of national gastric cancer screening in Japan: a microsimulation modeling study
Hsi-Lan Huang et al.
BMC MEDICINE (2020)
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Erika A. Waters et al.
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Iakovos Toumazis et al.
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A risk-stratified approach to colorectal cancer prevention and diagnosis
Mark A. Hull et al.
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Pan-cancer analysis demonstrates that integrating polygenic risk scores with modifiable risk factors improves risk prediction
Linda Kachuri et al.
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Xiaoling Kong et al.
BIOSCIENCE REPORTS (2020)
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Farhad Islami et al.
CLINICAL GASTROENTEROLOGY AND HEPATOLOGY (2019)
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JoonNyung Heo et al.
STROKE (2019)
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BRITISH JOURNAL OF CANCER (2019)
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Quancai Cai et al.
GUT (2019)
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Amy Colquhoun et al.
CANCERS (2019)
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Luke McGeoch et al.
CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION (2019)
Definitions, methods, and applications in interpretable machine learning
W. James Murdoch et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2019)
Prediction of future gastric cancer risk using a machine learning algorithm and comprehensive medical check-up data: A case-control study
Junichi Taninaga et al.
SCIENTIFIC REPORTS (2019)
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Vanesa Bellou et al.
BMJ-BRITISH MEDICAL JOURNAL (2019)
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ANNALS OF INTERNAL MEDICINE (2019)
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Zhaogang Dong et al.
MEDICAL SCIENCE MONITOR (2019)
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Xiang Wang et al.
JOURNAL OF CANCER (2019)
Development and validation of a risk assessment tool for gastric cancer in a general Japanese population
Masahiro Iida et al.
GASTRIC CANCER (2018)
Incidence of gastric cancer in the USA during 1999 to 2013: a 50-state analysis
Zhensheng Wang et al.
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY (2018)
Increased survival rates in gastric cancer, with a narrowing gender gap and widening socioeconomic status gap: A period analysis from 1984 to 2013
Fengze Sun et al.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY (2018)
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Haejin In et al.
JOURNAL OF SURGICAL RESEARCH (2018)
Using a panel of multiple tumor-associated antigens to enhance autoantibody detection for immunodiagnosis of gastric cancer
Shuaibing Wang et al.
ONCOIMMUNOLOGY (2018)
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Le Peng et al.
AMERICAN JOURNAL OF GASTROENTEROLOGY (2018)
Population screening and treatment of Helicobacter pylori infection
Anthony O'Connor et al.
NATURE REVIEWS GASTROENTEROLOGY & HEPATOLOGY (2017)
Prognostic Role of Primary Tumor Location in Non-Metastatic Gastric Cancer: A Systematic Review and Meta-Analysis of 50 Studies
Fausto Petrelli et al.
ANNALS OF SURGICAL ONCOLOGY (2017)
Prediction of the 10-year probability of gastric cancer occurrence in the Japanese population: the JPHC study cohort II
Hadrien Charvat et al.
INTERNATIONAL JOURNAL OF CANCER (2016)
Combination of Helicobacter pylori Antibody and Serum Pepsinogen as a Good Predictive Tool of Gastric Cancer Incidence: 20-Year Prospective Data From the Hisayama Study
Fumie Ikeda et al.
JOURNAL OF EPIDEMIOLOGY (2016)
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
Gary S. Collins et al.
BMJ-BRITISH MEDICAL JOURNAL (2015)
Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement
Gary S. Collins et al.
BMJ-BRITISH MEDICAL JOURNAL (2015)
Prediction Model for Gastric Cancer Incidence in Korean Population
Bang Wool Eom et al.
PLOS ONE (2015)
A five-microRNA panel in plasma was identified as potential biomarker for early detection of gastric cancer
C. Zhu et al.
BRITISH JOURNAL OF CANCER (2014)
CA72-4 combined with CEA, CA125 and CA19-9 improves the sensitivity for the early diagnosis of gastric cancer
Ai-Ping Yang et al.
CLINICA CHIMICA ACTA (2014)
Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies: The CHARMS Checklist
Karel G. M. Moons et al.
PLOS MEDICINE (2014)
Staging of intestinal- and diffuse-type gastric cancers with the OLGA and OLGIM staging systems
S. -J. Cho et al.
ALIMENTARY PHARMACOLOGY & THERAPEUTICS (2013)
Serum biomarker panels for the diagnosis of gastric adenocarcinoma
H. S. Ahn et al.
BRITISH JOURNAL OF CANCER (2012)
Optimal cutoff value of the serum pepsinogen level for prediction of gastric cancer incidence: the Hisayama Study
Kentaro Shikata et al.
SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY (2012)
Performance of gastric cancer screening by endoscopy testing through the National Cancer Screening Program of Korea
Kui Son Choi et al.
CANCER SCIENCE (2011)
The combination of serum trefoil factor 3 and pepsinogen testing is a valid non-endoscopic biomarker for predicting the presence of gastric cancer: a new marker for gastric cancer risk
Mitsuru Kaise et al.
JOURNAL OF GASTROENTEROLOGY (2011)
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Andrew J. Vickers et al.
UROLOGY (2010)
Assessment of degree of health of the stomach by concomitant measurement of serum pepsinogen and serum Helicobacter pylori antibodies
Kazuhiko Inoue et al.
INTERNATIONAL JOURNAL OF BIOLOGICAL MARKERS (2010)
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Dong-Suk Lee et al.
CANCER NURSING (2009)
Updating methods improved the performance of a clinical prediction model in new patients
K. J. M. Janssen et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2008)
Prospective study of screening for stomach cancer in Japan
T Mizoue et al.
INTERNATIONAL JOURNAL OF CANCER (2003)
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