Observational studyScientific reports2021
Vaginal microbiome as a tool for prediction of chorioamnionitis in preterm labor: a pilot study.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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
10 citing papers in PubMed, 22 citations in OpenAlex.
- Trial
- Vaginal microbiome and its implications in preterm birth.Obstetrics & gynecology science · 2025Review
- Effects of the sampling time on the vaginal microbiota in healthy pregnant women: a prospective observational study.AJOG global reports · 2025Article
- Article
- The Role ofPathogens (Basel, Switzerland) · 2024Review
- Chorioamnionitis: An Update on Diagnostic Evaluation.Biomedicines · 2023Review
- The role of neutrophils in chorioamnionitis.Frontiers in immunology · 2023Review
- Differential Effect of Vaginal Microbiota on Spontaneous Preterm Birth among Chinese Pregnant Women.BioMed research international · 2022Article
- Predicting preterm birth through vaginal microbiota, cervical length, and WBC using a machine learning model.Frontiers in microbiology · 2022Article
- Endometrial Microbiome and Implantation: From Basic Knowledge to Clinical Medicine.Reproductive medicine and biologyReview
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intra-amniotic infection (IAI) is a major cause of preterm birth with a poor perinatal prognosis. We aimed to determine whether analyzing vaginal microbiota can evaluate the risk of chorioamnionitis (CAM) in preterm labor cases. Vaginal discharge samples were collected from 83 pregnant women admitted for preterm labor. Based on Blanc's classification, the participants were divided into CAM (stage ≥ II; n = 46) and non-CAM (stage ≤ I; n = 37) groups. The 16S rDNA amplicons (V1-V2) from vaginal samples were sequenced and analyzed. Using a random forest algorithm, the bacterial species associated with CAM were identified, and a predictive CAM (PCAM) scoring method was developed. The α diversity was significantly higher in the CAM than in the non-CAM group (P < 0.001). The area under the curve was 0.849 (95% confidence interval 0.765-0.934) using the PCAM score. Among patients at < 35 weeks of gestation, the PCAM group (n = 22) had a significantly shorter extended gestational period than the non-PCAM group (n = 25; P = 0.022). Multivariate analysis revealed a significant difference in the frequency of developmental disorders in 3-year-old infants (PCAM, 28%, non-PCAM, 4%; P = 0.022). Analyzing vaginal microbiota can evaluate the risk of IAI. Future studies should establish appropriate interventions for IAI high-risk patients to improve perinatal prognosis.
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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.