ArticleJournal of Korean medical science2020
Determinants of Spontaneous Preterm Labor and Birth Including Gastroesophageal Reflux Disease and Periodontitis.
Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.
- Global prevalence and risk of gastroesophageal reflux disease symptoms in pregnancy: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2025Pooled it
- Machine learning to predict adverse perinatal outcomes: a systematic review and meta-analysis.EClinicalMedicine · 2026Article
- Artificial intelligence in periodontal disease research: a bibliometric and visualized analysis of global research trends (2007-2025).The Saudi dental journal · 2026Review
- Association Between Gastroesophageal Reflux Disease and Periodontitis: A Longitudinal Follow-Up Study from the Korean National Health Screening Cohort.Biomedicines · 2024Article
- Gastroesophageal Reflux Disease and Preterm Birth: Univariate and Multivariate Mendelian Randomization.International journal of women's health · 2024Article
- Associations of Preterm Birth with Dental and Gastrointestinal Diseases: Machine Learning Analysis Using National Health Insurance Data.International journal of environmental research and public health · 2023Article
- Article
- Machine learning-based risk factor analysis of necrotizing enterocolitis in very low birth weight infants.Scientific reports · 2022Article
- Risk of Periodontitis in Patients with Gastroesophageal Reflux Disease: A Nationwide Retrospective Cohort Study.Biomedicines · 2022Article
- Explainable Artificial Intelligence in the Early Diagnosis of Gastrointestinal Disease.Diagnostics (Basel, Switzerland) · 2022Review
- Machine learning-based risk factor analysis of adverse birth outcomes in very low birth weight infants.Scientific reports · 2022Article
- Association of Preterm Birth with Inflammatory Bowel Disease and Salivary Gland Disease: Machine Learning Analysis Using National Health Insurance Data.International journal of environmental research and public health · 2022Article
- Artificial intelligence in obstetrics.Obstetrics & gynecology science · 2022Article
- Association of Gastroesophageal Reflux Disease with Preterm Birth: Machine Learning Analysis.Journal of Korean medical science · 2021Article
- Predictors of Newborn's Weight for Height: A Machine Learning Study Using Nationwide Multicenter Ultrasound Data.Diagnostics (Basel, Switzerland) · 2021Article
- Automatic Classification of the Korean Triage Acuity Scale in Simulated Emergency Rooms Using Speech Recognition and Natural Language Processing: a Proof of Concept Study.Journal of Korean medical science · 2021Article
- Periodontal Pathogens and Preterm Birth: Current Knowledge and Further Interventions.Pathogens (Basel, Switzerland) · 2021Review
- Association of Preterm Birth with Depression and Particulate Matter: Machine Learning Analysis Using National Health Insurance Data.Diagnostics (Basel, Switzerland) · 2021Article
- Prediction of newborn's body mass index using nationwide multicenter ultrasound data: a machine-learning study.BMC pregnancy and childbirth · 2021Article
- Application of Artificial Intelligence in Early Diagnosis of Spontaneous Preterm Labor and Birth.Diagnostics (Basel, Switzerland) · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPeriodontitis is reported to be associated with preterm birth (spontaneous preterm labor and birth). Gastroesophageal reflux disease (GERD) is common during pregnancy and is expected to be related to periodontitis. However, little research has been done on the association among preterm birth, GERD and periodontitis. This study uses popular machine learning methods for analyzing preterm birth, GERD and periodontitis.
methodsData came from Anam Hospital in Seoul, Korea, with 731 obstetric patients during January 5, 1995 - August 28, 2018. Six machine learning methods were applied and compared for the prediction of preterm birth. Variable importance, the effect of a variable on model performance, was used for identifying major determinants of preterm birth.
resultsIn terms of accuracy, the random forest (0.8681) was similar with logistic regression (0.8736). Based on variable importance from the random forest, major determinants of preterm birth are delivery and pregestational body mass indexes (BMI) (0.1426 and 0.1215), age (0.1211), parity (0.0868), predelivery systolic and diastolic blood pressure (0.0809 and 0.0763), twin (0.0476), education (0.0332) as well as infant sex (0.0331), prior preterm birth (0.0290), progesterone medication history (0.0279), upper gastrointestinal tract symptom (0.0274), GERD (0.0242),
conclusionGERD is more important than periodontitis for predicting and preventing preterm birth. For preventing preterm birth, preventive measures for hypertension, GERD and diabetes mellitus would be needed alongside the promotion of effective BMI management and appropriate progesterone and calcium-channel-blocker medications.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.