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Record W2784741036 · doi:10.20381/ruor-21463

Probiotics: A Possible Preventative Measure of Atopic Asthma?

2017· article· en· W2784741036 on OpenAlexaboutno aff
Homa Ogundu, Lina Hachemi, Niharika Namulla

Bibliographic record

VenueuO Research (University of Ottawa) · 2017
Typearticle
Languageen
FieldHealth Professions
TopicInfant Health and Development
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaMedicineMeasure (data warehouse)Environmental healthImmunologyComputer science

Abstract

fetched live from OpenAlex

Introduction: Asthma is a chronic inflammatory immune disorder characterized by acute episodes of bronchial hyper responsiveness. This is caused by recurrent dysregulation of several immunoregulatory proteins such as interleukins, cytokines, clusters of differentiation, and immunoglobulins . In Canada and the U.S, the risks of developing atopic asthma can range from 1 case in every 10 children (general population), to 1 case in every 5 children (high-risk populations: African American descent). Asthma has an incidence rate of 8.5 million cases each year while the prevalence is 161.3 cases /1000 person years, depending on the population and environment studied. Children with decreased microbial exposure were observed to develop an altered gut microbiota leading to a higher risk for the development of asthma and allergic diseases. Objective: The aim of this review is to examine if probiotics decrease the risk of developing atopic asthma in children with an abnormal gut microbiome. Methodology: Concepts pertaining to the research question were identified and expanded upon through keywords: risk, and asthma or immune function, and probiotics or gut microbiome. Peer reviewed journals published between the years 2007-2017, from Canada and/or U.S.A were examined. Exclusion criteria included terms relating to airway, throat and respiratory microbiota to eliminate articles irrelevant to the focus of this study. The search strategy was developed on PubMed and adapted to Scopus, Journal of Allergy and Clinical Immunology and Journal of Pediatric Allergy and Immunology to yield the most relevant research articles. This resulted in 61 articles, from which 8 relevant articles were deemed eligible for the making of this literature review. Results: The 8 most relevant studies consisted of 2 systematic reviews and meta-analyses (one being meta-analysis only), 2 prospective nested case-control studies, and only 1 cohort and RCT each. The RCT study showed a positive correlation between the administration of probiotics and the reduction of asthma onset, while all three case-controls and cohorts listed an altered gut microbiota as a causative risk factor for developing asthma. Lastly, the 2 systematic reviews and meta-analyses concluded that no clinically-relevant association was present between the administration of probiotics and the prevention of asthma development. Conclusion: Due to the large heterogeneity of results, little compiled evidence supports a relation between the delivery of probiotics and the prevention of asthma development as of yet. Studies more specific to probiotics in relation to asthma development in larger cohorts need to be conducted to better understand any possible associations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.293
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.175
GPT teacher head0.474
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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