Evidence map›Paper›PMID 15387331›Full record

ArticleDigestive diseases and sciences2004

The association between cagA+ H. pylori infection and distal gastric cancer: a proposed model.

Mohammed S Al-Marhoon, Sheila Nunn, Roger W Soames

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Article in Digestive diseases and sciences, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. HP-CagA+ Regulates the Expression of CDK4/CyclinD1 viaInternational journal of molecular sciences · 2019
    Article
  4. Article
  5. Review
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

3 authors.

Mohammed S Al-MarhoonSchool of Biomedical Sciences, University of Leeds, Leeds, UK. almarhoon@hotmail.com
Sheila Nunn
Roger W Soames

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cytotoxin-associated gene A (cagA)+ infection is associated with an increased risk of distal gastric cancer. The aim was to determine the effect of Helicobacter pylori (HP) on gastric mucus thickness, hydrophobicity, and PGE2 and their relation to colonization density. Ninety-nine patients were recruited (69 HP- and 30 HP+: 10 cagA+, 18 cagA-, 2 undetermined) and six biopsies were obtained from each patient. Mucus thickness, hydrophobicity, PGE2, and colonization density were determined. HP status was assessed by histology and culture; cagA+ was determined by PCR. In age- and sex-matched patients, PGE2 was greater in PH+ than HP- (P = 0.04), with cagA+ having higher PGE2 than HP- patients (P = 0.031). No differences were observed in mucus thickness (P = 0.717) or hydrophobicity (P = 0.27) between HP+ and HP- patients. However, cagA+ showed a nonsignificant trend of increase in mucus thickness (P = 0.784) and hydrophobicity (P = 0.30) compared to cagA- and HP- patients. cagA+ colonization density was weakly correlated with increased thickness (r = 0.333, P = 0.381), whereas cagA- density was inversely correlated with thickness (r = -0.805, P = 0.0001). A model suggesting the possible changes induced by cagA+ infection is proposed which explains the high association of cagA+ with distal gastric cancer. If supported by large multicenter studies, this could form the basis for the development of new therapies directed at the mucous layer to eradicate HP and thus reduce the risk of gastric cancer.

Indexed as

Antigens, BacterialBacterial ProteinsHelicobacter pyloriComorbidityDinoprostoneFemaleGastric MucosaHelicobacter InfectionsHumansHydrophobic and Hydrophilic InteractionsMaleModels, BiologicalStomach NeoplasmsAntigens, BacterialBacterial ProteinscagA protein, Helicobacter pyloriDinoprostone

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Registered trials

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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.