ArticleAnnals of the American Thoracic Society2018
Culture-Independent Analysis of Pediatric Bronchoalveolar Lavage Specimens.
Article in Annals of the American Thoracic Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06201130 (Airway Microbiome Changes After Artificial Airway Exchange in Critically-ill Pediatric Patients.), which is not on this map. Cited by 9 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.
Airway Microbiome Changes After Artificial Airway Exchange in Critically-ill Pediatric Patients.
Who cites it
9 citing papers in PubMed.
- Pediatric tracheostomy-associated respiratory infections: an evolving paradigm.Current opinion in pediatrics · 2026Review
- Article
- Article
- Assessment of Microbiome-Based Pathogen Detection Using Illumina Short-Read and Nanopore Long-Read Sequencing in 144 Patients Undergoing Bronchoalveolar Lavage in a University Hospital in Germany.International journal of molecular sciences · 2025Article
- 16S Ribosomal RNA Gene PCR and Sequencing for Pediatric Infection Diagnosis, United States, 2020-2023.Emerging infectious diseases · 2025Article
- Microbial alterations in the lungs of children with chronic pulmonary aspiration.Frontiers in pediatrics · 2025Article
- 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
- Utility of Broad-Range PCR Sequencing for Infectious Diseases Clinical Decision Making: a Pediatric Center Experience.Journal of clinical microbiology · 2022Article
- The Yin and Yang ofJournal of bacteriology · 2019Review
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
rationaleThe clinical utility of culture-independent testing of pediatric BAL specimens is unknown. In addition, the variability of the pediatric pulmonary microbiome with patient characteristics is not well understood.
objectivesTo compare testing with 16S rRNA gene-based sequencing to conventional cultures of BAL specimens in children Methods: Study subjects were not more than 22 years old and underwent BAL from May 2013 to August 2015 as part of clinical care. DNA extracted from BAL specimens was used for 16S rRNA gene-based analysis, and results were compared with routine cultures from the same samples. Indices of microbial diversity and relative taxon abundances were compared on the basis of subject characteristics (diagnosis and antibiotic use).
resultsFrom 81 participants (male, 51%; median age, 9 yr), 89 samples were collected. The 16S rRNA genes of 77 samples (86.5%) from 70 subjects were successfully analyzed. These 70 subjects included 23 with cystic fibrosis, 19 who were immunocompromised, and 28 who were nonimmunocompromised. Of 68 organisms identified in culture, 16S rRNA gene-based analyses detected corresponding taxa in 66 (97.1%) and also identified potentially clinically significant organisms missed by cultures (e.g., Staphylococcus, Legionella, and Pseudomonas). Taxa that varied significantly with diagnosis and antibiotic use included Veillonella, Corynebacterium, Haemophilus, and Streptococcus. The microbiota of cystic fibrosis samples was less diverse. A "core" group of 15 taxa present in all three diagnosis groups was identified.
conclusionsCulture-independent analysis was concordant with routine cultures and showed the potential to detect noncultured pathogens. Although culture-independent testing identified relative changes in organism abundance associated with clinical characteristics, distinct microbiome profiles associated with disease states were not identified.
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