Evidence map›Paper›PMID 15184452›Full record

ArticleJournal of clinical microbiology2004

Prevalence of Helicobacter pylori vacA and cagA genotypes in Ethiopian dyspeptic patients.

Daniel Asrat, Ingrid Nilsson, Yohannes Mengistu, Endale Kassa, Senait Ashenafi, Kiros Ayenew, Torkel Wadström, Waleed Abu-Al-Soud

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Oncotarget · 2018
    Review
  4. Article
  5. Article
  6. Article
  7. Exposure to Helicobacter pylori infection in early childhood and the risk of allergic disease and atopic sensitization: a longitudinal birth cohort study.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2014
    Article
  8. Article
  9. The association of vacA genotype and Helicobacter pylori-related disease in Latin American and African populations.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2009
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Daniel AsratDepartment of Medical Microbiology, Immunobiology, and Parasitology, Addis Ababa University, Addis Ababa, Ethiopia.
Ingrid Nilsson
Yohannes Mengistu
Endale Kassa
Senait Ashenafi
Kiros Ayenew
Torkel Wadström
Waleed Abu-Al-Soud

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 300 gastric biopsy samples and 50 Helicobacter pylori isolates were collected from Ethiopian adult dyspeptic patients. The vacA and cagA genes were detected in 90 and 79% of biopsy specimens, respectively, and in 100 and 87% of clinical isolates, respectively. Both genes were detected in 84% of the gastric biopsy samples and in 87% of the clinical isolates. Among vacA genotypes, the s1/m1 genotype was the most common in gastric biopsy samples (48%). The vacA and cagA positive H. pylori strains were detected to a higher degree in patients with chronic active gastritis (71%) than patients with other histopathological findings (29%) (P < 0.05).

Indexed as

AdolescentAdultAgedAged, 80 and overAntigens, BacterialBacterial ProteinsDyspepsiaFemaleGenotypeHelicobacter pyloriHumansMaleMiddle AgedAntigens, BacterialBacterial ProteinscagA protein, Helicobacter pyloriVacA protein, Helicobacter pylori

Identifiers

PMID15184452
PMCPMC427880

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.