Fatemeh Khadangi1, Maryam Yassi1, Mohammad Amin Kerachian1,2,3. 1. Cancer Genetics Research Unit, Reza Radiotherapy and Oncology Center, Mashhad, Iran. 2. Cancer Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. 3. Department of Medical Genetics, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Abstract
BACKGROUND: Although different methods have been established to detect Helicobacter pylori (H. pylori) infection, identifying infected patients is an ongoing challenge. The aim of this meta-analysis was to provide pooled diagnostic accuracy measures for stool PCR test in the diagnosis of H. pylori infection. METHODS: In this study, a systematic review and meta-analysis were carried out on various sources, including MEDLINE, Web of Sciences, and the Cochrane Library from April 1, 1999, to May 1, 2016. This meta-analysis adheres to the guidelines provided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses report (PRISMA Statement). The clinical value of DNA stool PCR test was based on the pooled false positive, false negative, true positive, and true negative of different genes. RESULTS: Twenty-six of 328 studies identified met the eligibility criteria. Stool PCR test had a performance of 71% (95% CI: 68-73) sensitivity, 96% (95% CI: 94-97) specificity, and 65.6 (95% CI: 30.2-142.5) diagnostic odds ratio (DOR) in diagnosis of H. pylori. The DOR of genes which showed the highest performance of stool PCR tests was as follows: 23S rRNA 152.5 (95% CI: 55.5-418.9), 16S rRNA 67.9 (95%CI: 6.4-714.3), and glmM 68.1 (95%CI: 20.1-231.7). CONCLUSIONS: The sensitivity and specificity of stool PCR test are relatively in the same spectrum of other diagnostic methods for the detection of H. pylori infection. In descending order of significance, the most diagnostic candidate genes using PCR detection were 23S rRNA, 16S rRNA, and glmM. PCR for 23S rRNA gene which has the highest performance could be applicable to detect H. pylori infection.
BACKGROUND: Although different methods have been established to detect Helicobacter pylori (H. pylori) infection, identifying infectedpatients is an ongoing challenge. The aim of this meta-analysis was to provide pooled diagnostic accuracy measures for stool PCR test in the diagnosis of H. pylori infection. METHODS: In this study, a systematic review and meta-analysis were carried out on various sources, including MEDLINE, Web of Sciences, and the Cochrane Library from April 1, 1999, to May 1, 2016. This meta-analysis adheres to the guidelines provided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses report (PRISMA Statement). The clinical value of DNA stool PCR test was based on the pooled false positive, false negative, true positive, and true negative of different genes. RESULTS: Twenty-six of 328 studies identified met the eligibility criteria. Stool PCR test had a performance of 71% (95% CI: 68-73) sensitivity, 96% (95% CI: 94-97) specificity, and 65.6 (95% CI: 30.2-142.5) diagnostic odds ratio (DOR) in diagnosis of H. pylori. The DOR of genes which showed the highest performance of stool PCR tests was as follows: 23S rRNA 152.5 (95% CI: 55.5-418.9), 16S rRNA 67.9 (95%CI: 6.4-714.3), and glmM 68.1 (95%CI: 20.1-231.7). CONCLUSIONS: The sensitivity and specificity of stool PCR test are relatively in the same spectrum of other diagnostic methods for the detection of H. pylori infection. In descending order of significance, the most diagnostic candidate genes using PCR detection were 23S rRNA, 16S rRNA, and glmM. PCR for 23S rRNA gene which has the highest performance could be applicable to detect H. pylori infection.
Authors: Miguel Angel Aguilar-Luis; Fernando Palacios-Cuervo; Fátima Espinal-Reyes; Andrea Calderón-Rivera; Saúl Levy-Blitchtein; Carlos Palomares-Reyes; Wilmer Silva-Caso; Victor Zavaleta-Gavidia; Jorge Bazán-Mayra; Angela Cornejo-Tapia; Juana Del Valle-Mendoza; Luis J Del Valle Journal: BMC Res Notes Date: 2018-11-14
Authors: Andrea Iannone; Floriana Giorgio; Francesco Russo; Giuseppe Riezzo; Bruna Girardi; Maria Pricci; Suetonia C Palmer; Michele Barone; Mariabeatrice Principi; Giovanni Fm Strippoli; Alfredo Di Leo; Enzo Ierardi Journal: World J Gastroenterol Date: 2018-07-21 Impact factor: 5.742