Evidence map›Paper›PMID 30539623›Full record

ArticleBalkan medical journal2019

Association Between Erosive Esophagitis and the Anthropometric Index in the General Korean Population

Hyun Young Kim

Open access · diamondAbstract read
In one paragraph

Article in Balkan medical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 100% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

1 author at 1 institution in 1 country.

Hyun Young KimDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, KoreaORCID 0000-0002-3444-6022
Seoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: An association between obesity and gastroesophageal reflux disease has been reported. However, previous studies have focused on obesity or central obesity. Aims: To investigate the association of the anthropometric index and endoscopic erosive esophagitis in health checkups of Koreans. Study Design: Case-control study. Methods: A total of 1.207 consecutive subjects (aged 40-80 years) during health checkups underwent upper endoscopy and bioelectrical impedance analysis. We collected anthropometric data by bioelectrical impedance analysis, which consisted of body mass index, percent body fat, muscle mass, and fat mass. Results: Of 1.207 subjects who underwent upper gastrointestinal endoscopy (mean age, 50.55±9 years), 239 (19.8%) had endoscopic erosive esophagitis. In a univariate analysis, the endoscopic erosive esophagitis group was more likely to be a male and had a higher body mass index, muscle mass and fat mass. In logistic regression analysis, only muscle mass remained an independent risk factor for EE after adjustment for both age and gender. Higher muscle mass was associated with increased EE risk (rate ratio: 1.354, 95% confidence interval: 1.206-1.405, p= 0.027). Conclusion: High muscle mass, but body mass index, is an independent risk factor for erosive esophagitis in a population over 40 years of age.

Indexed as

AdultAgedAged, 80 and overAnthropometryBody Mass IndexCase-Control StudiesEndoscopyEsophagitisFemaleGastroesophageal RefluxHumansLogistic ModelsMaleMiddle AgedRepublic of KoreaRetrospective StudiesAnthropometryesophagitisgastroesophageal reflux diseasekoreans

Identifiers

PMID30539623
PMCPMC6528522
OpenAlexW2904174147

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.