Evidence map›Paper›PMID 26304986›Full record

ReviewPostgraduate medical journal2015

Republished: Respiratory microbiota: addressing clinical questions, informing clinical practice.

Geraint B Rogers, Dominick Shaw, Robyn L Marsh, Mary P Carroll, David J Serisier, Kenneth D Bruce

Open access · hybridAbstract readReview
In one paragraph

Review in Postgraduate medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% 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.

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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 6 institutions in 2 countries.

Geraint B RogersSAHMRI Infection and Immunity Theme, School of Medicine, Flinders University, Adelaide, Australia.
Dominick ShawNottingham Respiratory Research Unit, University of Nottingham, Nottingham City Hospital, Nottingham, Notts, UK.
Robyn L MarshMenzies School of Health Research, Charles Darwin University, Darwin, Northern Territory, Australia.
Mary P CarrollCystic Fibrosis Unit, Southampton University Hospitals NHS Trust, Southampton, UK.
David J SerisierImmunity, Infection, and Inflammation Program, Mater Research Institute, University of Queensland, and Translational Research Institute, Woolloongabba, Queensland, Australia Department of Respiratory Medicine, Mater Adult Hospital, South Brisbane, Australia.
Kenneth D BruceKing's College London, Institute of Pharmaceutical Science, London, UK.
King's College London · GBMenzies School of Health Research · AUSouth Australian Health and Medical Research Institute · AUTranslational Research Institute · AUUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, technological advances have revolutionised efforts to understand the role played by microbes in airways disease. With the application of ever more sophisticated techniques, the literature has become increasingly inaccessible to the non-specialist reader, potentially hampering the translation of these gains into improvements in patient care. In this article, we set out the key principles underpinning microbiota research in respiratory contexts and provide practical guidance on how best such studies can be designed, executed and interpreted. We examine how an understanding of the respiratory microbiota both challenges fundamental assumptions and provides novel clinical insights into lung disease, and we set out a number of important targets for ongoing research.

Indexed as

Bacterial Infection

Identifiers

PMID26304986
PMCPMC4552901
OpenAlexW2405416074

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.