Evidence map›Paper›PMID 21494760›Full record

ArticleVirchows Archiv : an international journal of pathology2011

Qualitative and quantitative alterations in the parietal cell domain in chronic gastritis.

Carlos A Rubio, Gabriella Nesi

Abstract read
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Article in Virchows Archiv : an international journal of pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 2 institutions in 2 countries.

Carlos A RubioGastrointestinal and Liver Pathology Research Laboratory, Department of Pathology, Karolinska Institute and University Hospital, Building P1/03/057, Stockholm, Sweden. Carlos.Rubio@ki.se
Gabriella Nesi
Karolinska Institutet · SEUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematoxylin and eosin (H&E) is not an optimal stain to discriminate between parietal and chief cells in gastric biopsies; modified Giemsa (G) and toluidine blue (TB) were found more suitable stains to characterize these two cell phenotypes. Sixty-eight well-oriented sections from the fundic mucosa were stained with H&E, and with G or TB. With G or TB the normal fundic mucosa clearly displayed a parietal cell domain (PCD) and a chief-cell domain (CCD). The continuity of these two cell domains was assessed in the entire section at ×4 magnification and the thickness of the PCD. The total mucosal thickness (TMT) was measured in three different HPF at ×20 magnifications. Qualitative observations indicated that the PCD and CCD were (a) continuous in normal fundic mucosa or having slight chronic gastritis, (b) fragmented in moderate chronic gastritis, in focal glandular atrophy or focal IM or (c) absent in severe chronic gastritis, including autoimmune gastritis and extensive IM. Quantitative measurements showed that the thickness of the PCD in chronic gastritis could be (a) normal, (b) reduced by partial destruction of the parietal cell population by chronic inflammation, or (c) absent, in extensive IM or total glandular atrophy (p < 0.05). Toluidine blue gave a better contrast between the two cell phenotypes than modified Giemsa stain. Future studies might elucidate whether qualitative and quantitative studies of toluidine blue-stained sections of the fundic mucosa are useful in monitoring the results of therapy in individual patients with chronic gastritis.

Indexed as

Severity of Illness IndexBiopsyChief Cells, GastricChronic DiseaseGastric FundusGastric MucosaGastritisHistocytological Preparation TechniquesHumansParietal Cells, Gastric

Identifiers

PMID21494760
OpenAlexW2009367064

What OpenQuestion holds

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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.