Evidence map›Paper›PMID 37568841›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Histopathological Evaluation of Gastric Mucosal Atrophy for Predicting Gastric Cancer Risk: Problems and Solutions.

Maria A Livzan, Sergei I Mozgovoi, Olga V Gaus, Anna G Shimanskaya, Alexei V Kononov

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Maria A LivzanDepartment of Internal Medicine and Gastroenterology, Omsk Sate Medical University, 644099 Omsk, Russia.ORCID 0000-0002-6581-7017
Sergei I MozgovoiDepartment of Pathological Anatomy, Omsk Sate Medical University, 644099 Omsk, Russia.ORCID 0000-0001-7200-7082
Olga V GausDepartment of Internal Medicine and Gastroenterology, Omsk Sate Medical University, 644099 Omsk, Russia.ORCID 0000-0001-9370-4768
Anna G ShimanskayaDepartment of Pathological Anatomy, Omsk Sate Medical University, 644099 Omsk, Russia.
Alexei V KononovDepartment of Pathological Anatomy, Omsk Sate Medical University, 644099 Omsk, Russia.
Omsk State Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients suffering from chronic gastritis and developing gastric mucosa atrophy are at increased risk of the development of gastric cancer. The diagnosis of chronic atrophic gastritis (CAG) is a complex procedure involving a detailed history taking, a thorough physical examination and the use of laboratory and instrumental diagnostic methods among which the endoscopy of the upper digestive tract is the cornerstone because it allows the assessment of the topography of gastritis and identification of erosions and areas of intestinal metaplasia with the use of NBI endoscopy. However, the diagnosis of CAG requires morphological examination of the gastric mucosa. So, in addition to assessing macroscopic changes in the gastric mucosa, it is necessary to take biopsy specimens in accordance with the protocols for their morphological and immunohistochemical examination. In the absence of specific diagnostic stigmas of CAG, close cooperation between a clinician, endoscopist and pathologist is necessary. The article presents systematized data on the histopathological assessment of the gastric mucosa atrophy to predict the risk of gastric cancer.

Indexed as

autoimmune gastritischronic atrophic gastritisgastric cancerHelicobacter pyloriintestinal metaplasiaOLGA/OLGIM

Identifiers

PMID37568841
PMCPMC10417051
OpenAlexW4385364662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.