ReviewHealthcare (Basel, Switzerland)2024
Perinatal Exposure to Tobacco Smoke and Its Association with the Maternal and Offspring Microbiome: A Systematic Review.
Review in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Maternal influences on oral microbiome development and implications for early childhood health: a systematic review.Infection and immunity · 2026Pooled it
- Amuc_1473 Links Gut Microbes to Skeletal Homeostasis and Counteracts Multifactorial Osteoporosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- VaginalJournal of clinical medicine · 2026Article
- Distinct early gut microbiota patterns by delivery mode within 100 hours of birth.World journal of clinical pediatrics · 2026Article
- The Association Between Maternal Smoking During Pregnancy and Neonatal Intensive Care Unit Admission Among Full-Term Infants: A Finnish National Cohort Study.Clinical epidemiology · 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
5 authors.
Funding
Abstract
backgroundThe human microbiome, comprising trillions of microorganisms, significantly influences human health and disease. During critical periods like the perinatal phase, the microbiome undergoes significant changes, impacting lifelong health. Tobacco smoke, a known environmental pollutant, has adverse effects on health, particularly during pregnancy. Despite this, its association with the perinatal microbiome remains understudied.
methodsWe conducted a systematic review to integrate findings on perinatal tobacco smoke exposure and its association with the maternal and neonatal microbiomes. We conducted a comprehensive literature search in the PubMed, Scopus, and Web of Science databases from January 2000 to February 2024. We selected studies that met predefined inclusion criteria and performed data extraction.
resultsThe review included eight studies that revealed diverse associations of perinatal tobacco exposure with the maternal and neonatal microbiome. Active smoking during pregnancy was linked to alterations in microbiome composition and diversity in children. Maternal smoking correlated with increased Firmicutes abundance and decreased
conclusionsPerinatal exposure to tobacco smoke exerts significant influence on the maternal and neonatal microbiomes, with potential implications for long-term health outcomes. Addressing socioeconomic and psychological barriers to smoking cessation, implementing stricter smoking regulations, and promoting public health campaigns are essential steps towards reducing tobacco-related harm during the perinatal period. Further longitudinal studies and standardized assessment methods are needed to validate these findings and guide the development of effective preventive measures.
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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.