Evidence Hub

Detection of Helicobacter pylori (H. pylori) in resource limited area: a cross-sectional study

Kapinga A, Komba E, Lyuu T, Majigo M, Rweyendera A, Jaka H

BMC infectious diseases, 2026

290 participants

Abstract

BACKGROUND: H. pylori infection has been recognized as one of the most common infections in humans affecting almost half of the world population. Detection of Helicobacter pylori infection in resource limited areas mainly based on stool antigen test and serological test. Detection of H. pylori by using culture method has been a challenge especially in resource limited area because of the requirement need in growing and isolating this organism in laboratory. There is no study which has been done in Tanzania on detecting these bacteria by using culture method. METHODOLOGY: A cross-sectional study was conducted at Muhimbili National Hospital from September 2020 to February 2021. We consecutively enrolled patients undergoing upper endoscopy at Muhimbili National Hospital after meeting inclusion criteria. Detection of Helicobacter pylori infection was done using rapid urease test and those turned positive were taken for culture and sensitivity. Sensivity testing with the use of selected antibiotics was done using the disc diffusion method. The isolates with characteristics of gram-negative straight rods, oxidase-positive, urease-positive, and catalase-positive were identified as Helicobacter pylori. RESULTS: A total of 290 participants were involved in this study, 123 (42.4%) tested positive for H. pylori infection using rapid urease test. We were able to isolate H. pylori from 29 specimens by culture method from 123 (23.6%) specimens which were positive by rapid urease test.…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 290 participants or records.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free