The DOI matches its Crossref record.
Seroepidemiology of Campylobacter pylori infection in various populations
Open accessAbstract
Campylobacter pylori infection has been recognized as being strongly associated with chronic gastritis and duodenal ulceration, but the prevalence of C. pylori infection in a normal population is not known. A serological survey was conducted in four countries with different geographical and socioeconomic status, in a randomly chosen population as representative as possible, by using an enzyme-linked immunosorbent assay (ELISA) with a sonic extract of two strains as the antigen. The test had a specificity of 94% when 600 ELISA units was used as the threshold. In France, few children were infected before the age of 10 years. The prevalence then increased gradually to 36.7% in the sixth decade of life. This increasing prevalence of infection with age was also observed in Algeria, Vietnam, and the Ivory Coast but at a higher rate (80 to 90%). In Vietnam, as in France, few children were infected, whereas in Africa, C. pylori infection occurred earlier. The prevalence of infection did not differ with sex for a particular age group; it also did not differ with respect to gastric symptoms, smoking and drinking habits, or urban or rural residence when these potential risk factors were studied. The epidemiological data available on peptic ulcer disease in developing countries compared with developed countries led to the speculation that infection with C. pylori is not a sufficient condition to develop this disease.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Cancer burden in the year 2000. The global picture
Parkin, D. M., Bray, F. I., & Devesa, S. S. (2001) · European Journal of Cancer · doi:10.1016/s0959-8049(01)00267-2 · Cited by 2,169
Age-related inflammatory cytokines and disease
Brüünsgaard, H., & Pedersen, B. K. (2003) · Immunology and Allergy Clinics of North America · doi:10.1016/s0889-8561(02)00056-5 · Cited by 608
Dykhuizen, R. S., Frazer, R., Duncan, C., Smith, C. C., Golden, M., Benjamin, N., & Leifert, C. (1996) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.40.6.1422 · Cited by 239
Helicobacter pylori is killed by nitrite under acidic conditions
Dykhuizen, R. S., Fraser, A., McKenzie, H., Golden, M., Leifert, C., & Benjamin, N. (1998) · Gut · doi:10.1136/gut.42.3.334 · Cited by 131
Metadata
- Authors
- Mégraud, F., Brassens-Rabbé, M. P., Denis, F., Belbouri, A., & Hoa, D. Q.
- Venue
- Journal of Clinical Microbiology
- Publisher
- American Society for Microbiology
- Published
- 1989-08
- Volume
- 27
- Issue
- 8
- Pages
- 1870-1873
- ISSN
- 0095-1137 (ISSN-L)
- 1098-660X
- OpenAlex
- W1482486740
- Cited by
- 583
- References
- 0
- FWCI
- 34.54
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.