Evidence map›Paper›PMID 32665951›Full record

ArticleERJ open research2020

Fluctuation-based clustering reveals phenotypes of patients with different asthma severity.

Anja Jochmann, Luca Artusio, Hoda Sharifian, Angela Jamalzadeh, Louise J Fleming, Andrew Bush, Urs Frey, Edgar Delgado-Eckert

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2020. 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
0.1field-weighted citation impact, top 52% 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

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

8 authors at 2 institutions in 2 countries.

Anja JochmannDept of Respiratory Paediatrics, Royal Brompton Hospital, London, UK.
Luca ArtusioDept of Respiratory Paediatrics, Royal Brompton Hospital, London, UK.
Hoda SharifianUniversity of Basel, University Children's Hospital (UKBB), Basel, Switzerland.
Angela JamalzadehDept of Respiratory Paediatrics, Royal Brompton Hospital, London, UK.
Louise J FlemingDept of Respiratory Paediatrics, Royal Brompton Hospital, London, UK.ORCID https://orcid.org/0000-0002-7268-7433
Andrew BushDept of Respiratory Paediatrics, Royal Brompton Hospital, London, UK.
Urs FreyUniversity of Basel, University Children's Hospital (UKBB), Basel, Switzerland.
Edgar Delgado-EckertUniversity of Basel, University Children's Hospital (UKBB), Basel, Switzerland.
Royal Brompton Hospital · GBUniversity of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serial peak expiratory flow (PEF) measurements can identify phenotypes in severe adult asthma, enabling more targeted treatment. The feasibility of this approach in children has not been investigated. Overall, 105 children (67% male, median age 12.4 years) with a range of asthma severities were recruited and followed up over a median of 92 days. PEF was measured twice daily. Fluctuation-based clustering (FBC) was used to identify clusters based on PEF fluctuations. The patients' clinical characteristics were compared between clusters. Three PEF clusters were identified in 44 children with sufficient measurements. Cluster 1 (27% of patients: n=12) had impaired spirometry (mean forced expiratory volume in 1 s (FEV

Identifiers

PMID32665951
PMCPMC7335841
OpenAlexW3039458966

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.