Evidence map›Paper›PMID 24429277›Full record

ReviewThe Lancet. Respiratory medicine2013

Prenatal and childhood infections: implications for the development and treatment of childhood asthma.

Oliver Fuchs, Erika von Mutius

Abstract readReview
In one paragraph

Review in The Lancet. Respiratory medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Asthma risk factors.International forum of allergy & rhinology · 2015
    Review
  14. Review
  15. Article
  16. The potential to predict the course of childhood asthma.Expert review of respiratory medicine · 2014
    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

2 authors.

Oliver FuchsDr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany; Comprehensive Pneumology Centre Munich (CPC-M), Munich, Germany. Electronic address: oliver.fuchs@med.lmu.de.
Erika von MutiusDr von Hauner Children's Hospital, Ludwig-Maximilians-University, Munich, Germany; Comprehensive Pneumology Centre Munich (CPC-M), Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial and viral infections occur early and recurrently in life and thereby impose a substantial disease burden. Besides causing clinical symptoms, a potential role of infection in the development of the asthma syndrome later in life has also been suggested. However, whether bacterial and viral infections unmask host factors in children at risk of asthma or whether they directly cause asthma remains unclear; both viewpoints could be justified, but the underlying mechanisms are complex and poorly understood. Recently, the role of the bacterial microbiome has been emphasised. But data are still sparse and future studies are needed for definitive conclusions to be made. In this Review, we discuss present knowledge of viruses and bacteria that infect and colonise the respiratory tract and mucosal surfaces, including their timepoint of action, host factors related to infection, and their effect on childhood asthma. Childhood asthma could be the result of a combination of altered host susceptibility and infectious agents.

Indexed as

Disease SusceptibilityPrenatal Exposure Delayed EffectsAnti-Asthmatic AgentsAsthmaChildFemaleHumansPregnancyRespiratory Tract InfectionsAnti-Asthmatic Agents

Identifiers

PMID24429277
PMCPMC7104105

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.