ArticleCell host & microbe2019
Baby's First Bacteria: Discriminating Colonizing Commensals from Pathogens.
Article in Cell host & microbe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Conversation between skin microbiota and the host: from early life to adulthood.Experimental & molecular medicine · 2025Review
- A 10-Year Study of Neonatal Sepsis from Tuen Mun Hospital, Hong Kong.Pathogens (Basel, Switzerland) · 2025Article
- Towards sustainable antimicrobial therapies forSustainable microbiology · 2024Review
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
At birth, microbes rapidly colonize our epithelial surfaces. In this issue of Cell Host & Microbe, Leech et al. (2019) uncover how the neonatal immune system discriminates between a colonizing commensal and pathogen to selectively generate tolerance to commensal species.
Indexed as
Identifiers
31951581What 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.