Evidence map›Paper›PMID 34751010›Full record

ArticleJournal of Korean medical science2021

Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.

Kwang-Sig Lee, Eun Sun Kim, Do-Young Kim, In-Seok Song, Ki Hoon Ahn

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 13 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 2 institutions in 1 country.

Kwang-Sig Lee *AI Center, Korea University Anam Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0576-0098
Eun Sun Kim *Department of Gastroenterology, Korea University Anam Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-1820-459X
Do-Young KimAI Center, Korea University Anam Hospital, Seoul, Korea.
In-Seok SongDepartment of Oral and Maxillofacial Surgery, Korea University Anam Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-0763-8838
Ki Hoon AhnDepartment of Obstetrics and Gynecology, Korea University Anam Hospital, Seoul, Korea. akh1220@hanmail.net.ORCID https://orcid.org/0000-0002-6314-4621
Korea University Medical Center · KRKorea University · KR

Funding

Korea University Medicine K1925051Ministry of Science and ICT, South Korea IITP-2018-0-01405
6 · The paper itself

Abstract

backgroundThis study used machine learning and population data for testing the associations of preterm birth with gastroesophageal reflux disease (GERD) and periodontitis.

methodsRetrospective cohort data came from Korea National Health Insurance Service claims data for all women who aged 25-40 years and gave births for the first time as singleton pregnancy during 2015-2017 (405,586 women). The dependent variable was preterm birth during 2015-2017 and the independent variables were GERD (coded as no vs. yes) for each of the years 2002-2014, periodontitis (coded as no vs. yes) for each of the years 2002-2014, age (year) in 2014, socioeconomic status in 2014 measured by an insurance fee, and region (city) (coded as no vs. yes) in 2014. Random forest variable importance was adopted for finding main predictors of preterm birth and testing its associations with GERD and periodontitis.

resultsBased on random forest variable importance, main predictors of preterm birth during 2015-2017 were socioeconomic status in 2014, age in 2014, GERD for the years 2012, 2014, 2010, 2013, 2007 and 2009, region (city) in 2014 and GERD for the year 2006. The importance rankings of periodontitis were relatively low.

conclusionPreterm birth has a stronger association with GERD than with periodontitis. For the prevention of preterm birth, preventive measures for GERD would be essential together with the improvement of socioeconomic status for pregnant women. Especially, it would be vital to promote active counseling for general GERD symptoms (neglected by pregnant women).

Indexed as

Machine LearningPremature BirthAdultDatabases, FactualFemaleGastroesophageal RefluxHumansLogistic ModelsPeriodontitisPregnancyRepublic of KoreaRetrospective StudiesSocial ClassAgeGastroesophageal RefluxPeriodontitisPremature BirthSocioeconomic Status

Identifiers

PMID34751010
PMCPMC8575763
OpenAlexW3206795903

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.