Evidence map›Paper›PMID 35345351›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2022

Determining Gastric Cancer-Related Risk Factors in Mongolian Population Using ABC(D) Method: A Matched Case-Control Study.

Ganchimeg Dondov, Tulgaa Lonjid, Tegshjargal Badamjav, Ulziisaikhan Banzragch, Nasanjargal Tumurbat, Dashmaa Amarbayasgalan, Batchimeg Batbaatar, Baljinnyam Tuvdenjamts, Bayar Davaa, Batbold Batsaikhan

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2022. 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
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 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

10 authors at 2 institutions in 1 country.

Ganchimeg DondovDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0001-6314-6996
Tulgaa LonjidDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0002-2565-0347
Tegshjargal BadamjavDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0001-9982-949X
Ulziisaikhan BanzragchDepartment of Cancer Disease, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0003-0438-9757
Nasanjargal TumurbatDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0002-0371-3490
Dashmaa AmarbayasgalanDepartment of Radiology, National Cancer Center, Ulaanbaatar, Mongolia.ORCID 0000-0002-5783-9312
Batchimeg BatbaatarCentral Research Laboratory, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Baljinnyam TuvdenjamtsCentral Research Laboratory, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.
Bayar DavaaDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0003-2231-8987
Batbold BatsaikhanDepartment of Internal Medicine, Institute of Medical Sciences, Mongolian National University of Medical Sciences, Ulaanbaatar, Mongolia.ORCID 0000-0003-3109-2166
Mongolian National University of Medical Sciences · MNNational Center for Communicable Diseases · MN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to identify gastric cancer-related risk factors and evaluate the efficacy of screening ABC(D) method in determining high risk  gastric cancer individuals in Mongolian population.

methodsA total of 240 participants (120 gastric cancer patients and 120 healthy individuals) were included in this study. Data were collecting using a structured questionnaire consisting of 56 questions covering 5 categories. Serum Helicobacter pylori IgG (H. pylori IgG), pepsinogen I (PGI), and pepsinogen II (PGII) were tested in one third of all the participants (40 gastric cancer patients and 40 controls).  PGI, PGII, and H. pylori IgG levels were measured using GastroPanel enzyme-linked immunosorbent assay kit (Biohit, Helsinki, Finland).

resultsHabits of having leftover meals (OR 2.22, 95%CI 1.27-3.86, p<0.01), daily consumption of tea with salt (OR 1.97, 95%CI 1.18-3.30, p<0.01), smoking on an empty stomach (OR 2.44, 95%CI 1.11-5.37, p<0.05), daily consumption of vegetables (OR 0.45, 95%CI 0.27-0.76, p<0.01), and daily consumption of fruit juice (OR 0.36, 95%CI 0.15-0.85, p<0.05), family history of gastric cancer (parents OR 2.88, 95%CI 1.07-7.78, p<0.05, siblings (OR 3.09, 95%CI 1.09-8.81, p<0.05), and history of gastric diseases (OR 3.65, 95%CI 2.10-6.35, p<0.0001) were identified as protective factors. A low PGI level (<35.25ng/ml) and low PGI/II ratio (<4) were associated with gastric cancer risk. According to ABC(D) method, groups C and D had higher proportion of gastric cancer cases than group A and B (group C, OR 7.50, 95%CI 1.20-47.05, p<0.05; group D, OR 8.3, 95%CI 1.33-51.26, p<0.05).

conclusionOur findings suggested that gastric cancer risk was more closely related to eating habits, smoking, family history, and precancerous lesions. ABC(D) method seems to be a plausible alternative or supplementary method for stratifying patients at high risk of gastric cancer in this country.

Indexed as

Helicobacter InfectionsHelicobacter pyloriStomach NeoplasmsCase-Control StudiesHumansRisk Factorsabcd methodCancer riskH.pyloripepsinogenscreening cancer

Identifiers

PMID35345351
PMCPMC9360931
OpenAlexW4220772528

What OpenQuestion holds

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LicenceCC BY-NC
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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.