ReviewJournal of bacteriology2019
The Yin and Yang of
Review in Journal of bacteriology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.
- Bacteria of the lung microbiome and health biomarkers in chronic airway disease: a systematic review and meta-analysis.NPJ biofilms and microbiomes · 2026Pooled it
- Modulator therapy: rates and stages of respiratory bacteriome restoration in cystic fibrosis patients chronically infected with Pseudomonadota.BMC pulmonary medicine · 2026Article
- Co-infection withISME communications · 2026Article
- Viral Infection Correlates with a Better Clinical Outcome than Pulmonary Exacerbation of Bacterial Origin in Paediatric Patients with Cystic Fibrosis.Pathogens (Basel, Switzerland) · 2025Article
- Auto-aggregation inmBio · 2025Article
- Exploring the role of microbiome in cystic fibrosis clinical outcomes through a mediation analysis.mSystems · 2025Article
- Dpr-mediated HJournal of bacteriology · 2024Article
- An energy coupling factor transporter ofbioRxiv : the preprint server for biology · 2024Article
- Antibiofilm activity ofBiofilm · 2024Article
- Effect ofFrontiers in microbiology · 2024Article
- Comparison of culture and PCR-DGGE methods to evaluate the airways of cystic fibrosis patients and determination of their antibiotic resistance profile.Iranian journal of microbiology · 2023Article
- Unveiling the Human Gastrointestinal Tract Microbiome: The Past, Present, and Future of Metagenomics.Biomedicines · 2023Review
- Community composition shapes microbial-specific phenotypes in a cystic fibrosis polymicrobial model system.eLife · 2023Article
- Commensal Bacteria in the Cystic Fibrosis Airway Microbiome ReduceFrontiers in cellular and infection microbiology · 2022Article
- Using metabolic potential within the airway microbiome as predictors of clinical state in persons with cystic fibrosis.Frontiers in medicine · 2022Article
- Pseudomonas aeruginosa in the Cystic Fibrosis Lung.Advances in experimental medicine and biology · 2022Article
- Structure-Function Characterization of Streptococcus intermedius Surface Antigen Pas.Journal of bacteriology · 2021Article
- Mild Cystic Fibrosis Lung Disease Is Associated with Bacterial Community Stability.Microbiology spectrum · 2021Article
- New Insights in Microbial Species Predicting Lung Function Decline in CF: Lessons from the MucoFong Project.Journal of clinical medicine · 2021Article
- From genotype to phenotype: adaptations ofMicrobial genomics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The streptococci are increasingly recognized as a core component of the cystic fibrosis (CF) lung microbiome, yet the role that they play in CF lung disease is unclear. The presence of the
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.