Literature DB >> 9337512

Evaluation of cutoff levels for screening of gastric cancer using serum pepsinogens and distributions of levels of serum pepsinogen I, II and of PG I/PG II ratios in a gastric cancer case-control study.

K Aoki1, J Misumi, T Kimura, W Zhao, T Xie.   

Abstract

This study was carried out to determine the cutoff levels of serum pepsinogen (PG) I, II and their ratio of PG I/PG II for gastric cancer to establish a better screening system. Optimal cutoff levels for gastric cancer screening using serum pepsinogens were determined using Youden's index. The sensitivity, specificity and Youden's index for gastric cancer cases were calculated according to sex, age and the stage of gastric cancer, and the maximum Youden's index in each category was adopted as the cutoff level for gastric cancer screening using serum pepsinogens. The maximal Youden's index in all gastric cancer cases was 0.37, corresponding to a cutoff level of PG I < 40 (micrograms g/l) and PG I/PG II < 3.5. The sensitivity and specificity for gastric cancer cases of these cutoff levels were 0.50 and 0.87, respectively. In future, better criteria for gastric cancer screening have to be examined with the estimation of Youden's index in addition to other epidemiological methods such as ROC (receiver operating characteristic) curves and/or cost benefit analyses.

Entities:  

Mesh:

Substances:

Year:  1997        PMID: 9337512     DOI: 10.2188/jea.7.143

Source DB:  PubMed          Journal:  J Epidemiol        ISSN: 0917-5040            Impact factor:   3.211


  9 in total

1.  Youden index and Associated Cut-points for Three Ordinal Diagnostic Groups.

Authors:  Jingqin Luo; Chengjie Xiong
Journal:  Commun Stat Simul Comput       Date:  2013-01       Impact factor: 1.118

2.  Serum pepsinogen levels and their influencing factors: a population-based study in 6990 Chinese from North China.

Authors:  Li-Ping Sun; Yue-Hua Gong; Lan Wang; Yuan Yuan
Journal:  World J Gastroenterol       Date:  2007-12-28       Impact factor: 5.742

3.  An evaluation of common methods for dichotomization of continuous variables to discriminate disease status.

Authors:  Sybil L Prince Nelson; Viswanathan Ramakrishnan; Paul J Nietert; Diane L Kamen; Paula S Ramos; Bethany J Wolf
Journal:  Commun Stat Theory Methods       Date:  2017-08-02       Impact factor: 0.893

4.  Predictors of Daily Steps at 1-Year Poststroke: A Secondary Analysis of a Randomized Controlled Trial.

Authors:  Reed Handlery; Elizabeth W Regan; Jill C Stewart; Christine Pellegrini; Courtney Monroe; Garrett Hainline; Kaci Handlery; Stacy L Fritz
Journal:  Stroke       Date:  2021-03-11       Impact factor: 7.914

5.  Mortality of septic shock patients is associated with impaired mitochondrial oxidative coupling efficiency in lymphocytes: a prospective cohort study.

Authors:  Wagner Luis Nedel; Afonso Kopczynski; Marcelo Salimen Rodolphi; Nathan Ryzewski Strogulski; Marco De Bastiani; Tiago Hermes Maeso Montes; Jose Abruzzi; Antonio Galina; Tamas L Horvath; Luis Valmor Portela
Journal:  Intensive Care Med Exp       Date:  2021-07-24

Review 6.  Significance of Serum Pepsinogens as a Biomarker for Gastric Cancer and Atrophic Gastritis Screening: A Systematic Review and Meta-Analysis.

Authors:  Ya-kai Huang; Jian-chun Yu; Wei-ming Kang; Zhi-qiang Ma; Xin Ye; Shu-bo Tian; Chao Yan
Journal:  PLoS One       Date:  2015-11-10       Impact factor: 3.240

7.  Flexible combination of multiple diagnostic biomarkers to improve diagnostic accuracy.

Authors:  Tu Xu; Yixin Fang; Alan Rong; Junhui Wang
Journal:  BMC Med Res Methodol       Date:  2015-10-31       Impact factor: 4.615

8.  Methylation of three genes encoded by X chromosome in blood leukocytes and colorectal cancer risk.

Authors:  Tian Tian; Haoran Bi; Ding Zhang; Yupeng Liu; Hongru Sun; Chenyang Jia; Ting Zheng; Hao Huang; Jinming Fu; Lin Zhu; Yashuang Zhao
Journal:  Cancer Med       Date:  2021-06-18       Impact factor: 4.452

9.  Ankle fracture classification using deep learning: automating detailed AO Foundation/Orthopedic Trauma Association (AO/OTA) 2018 malleolar fracture identification reaches a high degree of correct classification.

Authors:  Jakub Olczak; Filip Emilson; Ali Razavian; Tone Antonsson; Andreas Stark; Max Gordon
Journal:  Acta Orthop       Date:  2020-10-26       Impact factor: 3.717

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.