ReviewJournal of oral microbiology2026
The role of oral dysbiosis in pregnancy complications: a systematic review and meta-analysis of preterm birth.
Review in Journal of oral microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Research Trends in Antimicrobial Oral Hygiene Products, the Oral Microbiome, and Dental Biofilm: A Bibliometric Analysis (2006-2025).Antibiotics (Basel, Switzerland) · 2026Article
- The Maternal Microbiome in Pregnancy: From Physiological Changes to Dysbiosis and Obstetrical Complications-Therapeutic Perspectives.Life (Basel, Switzerland) · 2026Review
- The oral microbiome in relation to systemic maternal conditions and pregnancy complications: a systematic review and meta-analysis.Journal of oral microbiology · 2026Review
- Reprogramming of pathogenic strategies inFrontiers in cellular and infection microbiology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To systematically review the association between oral dysbiosis and pregnancy-related complications and to quantitatively assess differences in oral microbial alpha diversity between preterm birth (PTB) and term birth (TB). Material and methods: A systematic search was conducted in July 2025 following PRISMA 2020 guidelines and registered in PROSPERO. Studies published between 2015 and 2025 assessing oral microbiota composition, alpha/beta diversity, or taxa abundance in relation to preeclampsia, gestational diabetes mellitus, preterm birth, low birth weight, mental health disorders, or pregnancy loss were included. Due to heterogeneity in study design, microbiome metrics, and outcome definitions, meta-analysis was restricted to studies comparing Shannon alpha diversity between PTB and TB. Study quality was assessed using the Newcastle-Ottawa Scale and the Joanna Briggs Institute checklist. Results: Twenty-one studies met the inclusion criteria, including cohort, case-control, and cross-sectional designs; four were included in the meta-analysis. Pregnancy complications were commonly associated with altered oral microbial profiles, characterized by reduced alpha diversity, changes in beta diversity, and increased abundance of genera such as Prevotella, Veillonella, and Porphyromonas. The meta-analysis suggested a directional trend toward altered alpha diversity in adverse pregnancy outcomes. Conclusions: Overall, the findings support a potential association between oral dysbiosis and pregnancy-related complications; however, this evidence is limited by the small scale and heterogeneity of the available studies. These results highlight the oral microbiome as a biologically plausible contributor to adverse maternal and neonatal outcomes and a promising focus for future mechanistic and translational research.
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.