Evidence map›Paper›PMID 34829460›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Chronic Autoimmune Gastritis: Modern Diagnostic Principles.

Maria A Livzan, Olga V Gaus, Sergei I Mozgovoi, Dmitry S Bordin

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Pediatric autoimmune gastritis: An international, multicentric study.Journal of pediatric gastroenterology and nutrition · 2025
    Article
  3. Review
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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

4 authors at 2 institutions in 1 country.

Maria A LivzanOmsk Sate Medical University, 644099 Omsk, Russia.ORCID 0000-0002-6581-7017
Olga V GausOmsk Sate Medical University, 644099 Omsk, Russia.
Sergei I MozgovoiOmsk Sate Medical University, 644099 Omsk, Russia.ORCID 0000-0001-7200-7082
Dmitry S BordinA.S. Loginov Moscow Clinical Scientific Center, 111123 Moscow, Russia.ORCID 0000-0003-2815-3992
Omsk State Medical University · RUMoscow State University of Medicine and Dentistry · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article summarizes and systematizes the available data from the literature on chronic autoimmune gastritis (CAG) in order to increase the awareness of specialists about the modern possibilities for diagnosing the disease, including its early stages. The clinical manifestation of the disease includes possible variants such as gastrointestinal, hematological (first of all, the formation of iron deficiency and B12-deficiency anemia), and neurological variants. Patients with chronic autoimmune gastritis are characterized by comorbidity with other autoimmune diseases. In this paper, data on the most informative serological markers for the diagnosis of CAG, as well as laboratory tests to detect micronutrient deficiencies, information on the characteristic changes in the gastric mucosa, and the prognosis of the disease, are presented. The diagnosis of CAG should be based on a multidisciplinary approach that combines a thorough analysis of a patient's complaints with a mandatory assessment of nutritional status, as well as the results of serological, endoscopic, and histological research methods.

Indexed as

atrophic gastritischronic autoimmune gastritisgastric adenocarcinomamegaloblastic anemianeuroendocrine tumorsnutritional statusvitamin B12 deficiency

Identifiers

PMID34829460
PMCPMC8621657
OpenAlexW3214181942

What OpenQuestion holds

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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.