ArticleThe Journal of allergy and clinical immunology2018
Incorporating the airway microbiome into asthma phenotyping: Moving toward personalized medicine for noneosinophilic asthma.
Article in The Journal of allergy and clinical immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Distinct associations of sputum and oral microbiota with atopic, immunologic, and clinical features in mild asthma.The Journal of allergy and clinical immunology · 2020Trial
- Molecular Accounting and Profiling of Human Respiratory Microbial Communities: Toward Precision Medicine by Targeting the Respiratory Microbiome for Disease Diagnosis and Treatment.International journal of molecular sciences · 2023Review
- Microbiome Research and Multi-Omics Integration for Personalized Medicine in Asthma.Journal of personalized medicine · 2021Review
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Authors and funding
3 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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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.