Evidence map›Paper›PMID 25888147›Full record

ReviewCurrent opinion in pediatrics2015

The pediatric microbiome and the lung.

Michael Tracy, Jonathan Cogen, Lucas R Hoffman

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Current opinion in pediatrics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03787160 (Determining the Effect of Probiotics on Microbiome and Volatile Organic Compounds in Patients After Surgical Repair of Congenital Diaphragmatic Hernia), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from 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.

2 · The registry

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.

NCT03787160 nacompletednot on this mapstarted 2018, after this paper: background citation

Determining the Effect of Probiotics on Microbiome and Volatile Organic Compounds in Patients After Surgical Repair of Congenital Diaphragmatic Hernia

TypeinterventionalSponsorMedical University of GrazRan2018 to 2019Enrolled18ConditionsCongenital Diaphragmatic HerniaArmsinitial VOC, initial fecal microbiome, initial pulmonary microbiome, Maximum oxygen uptake, Functional residual capacity
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Observational
  5. Article
  6. Review
  7. A Review on the Nasal Microbiome and Various Disease Conditions for Newer Approaches to Treatments.Indian journal of otolaryngology and head and neck surgery : official publication of the Association of Otolaryngologists of India · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. The Gut-Lung Axis in Cystic Fibrosis.Journal of bacteriology · 2021
    Review
  12. Article
  13. SARS-CoV-2 Liability: The Hidden Mystery Behind Its Presentation in Children.Advances in experimental medicine and biology · 2021
    Review
  14. Article
  15. Review
  16. The Nose and the Lung: United Airway Disease?Frontiers in pediatrics · 2017
    Review
  17. Review
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Michael TracyaDepartment of Pediatrics, Stanford University, Stanford, California bDepartment of Pediatrics, University of Washington cSeattle Children's Hospital dDepartment of Microbiology, University of Washington, Seattle, Washington, USA *Michael Tracy and Jonathan Cogen contributed equally to the writing of this article.
Jonathan Cogen
Lucas R Hoffman
GTx (United States) · USSeattle Children's Hospital · US

Funding

Translational Research Center to Expedite Novel Therapies in Cystic FibrosisP30DK089507 · NIDDK · SEATTLE CHILDREN'S HOSPITAL · PI Christopher Hooper Goss · 2010 to 2026
$21.4M
Pseudomonas Aeruginosa Early CF Adaptive Changes: A Translational StudyK02HL105543 · NHLBI · UNIVERSITY OF WASHINGTON · PI HOFFMAN, LUCAS R · 2011 to 2014
$400k
NHLBI NIH HHS K02 HL105543NHLBI NIH HHS K02HL105543NIDDK NIH HHS P30 DK089507
6 · The paper itself

Abstract

purpose of reviewMany pediatric lung diseases are characterized by infection. These infections are generally diagnosed, studied, and treated using standard culture methods to identify 'traditional pathogens'. Based on these techniques, healthy lungs have generally been thought to be sterile. However, recent advances in culture-independent microbiological techniques challenged this paradigm by identifying diverse microbes in respiratory specimens (respiratory microbiomes) from both healthy people and those with diverse lung diseases. In addition, growing evidence suggests a link between gastrointestinal microbiomes and inflammatory diseases of various mucosal surfaces, including airways. RECENT

findingsThis article reviews the rapidly developing field of respiratory microbiome research, emphasizing recent progress made employing increasingly sophisticated technologies. Although many of the relevant studies have focused on adults with cystic fibrosis, recent research has included children and adults with other respiratory diseases, as well as healthy individuals. These studies suggest that even healthy children have airway microbiomes, and that both respiratory and gastrointestinal microbiomes often differ between healthy people and those with different types and severities of airway disease. The causal relationships between microbiomes, disease type and progression, and treatments such as antibiotics must now be defined. SUMMARY: The advent of culture-independent microbiological techniques has transformed how we think about the relationship between microbes and airway disease. More research is required to translate these findings to improved therapies and preventive strategies.

Indexed as

ChildGastrointestinal TractHumansLungMicrobiotaRespiratory SystemRespiratory Tract Diseases

Identifiers

PMID25888147
PMCPMC4443818
OpenAlexW2332736697

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.