Evidence map›Paper›PMID 28974677›Full record

Observational studyNPJ primary care respiratory medicine2017

Longitudinal outcomes of different asthma phenotypes in primary care, an observational study.

Rishi J Khusial, Jacob K Sont, Rik J B Loijmans, Jiska B Snoeck-Stroband, Pim J J Assendelft, Tjard R J Schermer, Persijn J Honkoop, ACCURATE Study Group

Abstract readObservational Study
In one paragraph

Observational study in NPJ primary care respiratory medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Asthma phenotypes in primary care.NPJ primary care respiratory medicine · 2020
    Article
  5. Hormones, sex, and asthma.Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology · 2018
    Review
  6. Airway reversibility in asthma and phenotypes of Th2-biomarkers, lung function and disease control.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2018
    Article
  7. Article
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.

Rishi J KhusialDept of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands.
Jacob K SontDept of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands.
Rik J B LoijmansDept of General Practice, Academic Medical Center, Amsterdam, The Netherlands.
Jiska B Snoeck-StrobandDept of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands.
Pim J J AssendelftDept of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands.
Tjard R J SchermerDept of Primary and Community Care, Radboud University Medical Center, Nijmegen, The Netherlands.
Persijn J HonkoopDept of Medical Decision Making, Leiden University Medical Center, Leiden, The Netherlands. P.J.Honkoop@lumc.nl.
ACCURATE Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While asthma presentation is heterogeneous, current asthma management guidelines in primary care are quite homogeneous. In this study we aim to cluster patients together into different phenotypes, that may aid the general practitioner in individualised asthma management. We analysed data from the ACCURATE trial, containing 611 adult asthmatics, 18-50 year-old, treated in primary care, with one year follow-up. Variables obtained at baseline (n = 14), were assessed by cluster analysis. Subsequently, established phenotypes were assessed separately on important asthma outcomes after one year follow-up: asthma control (Asthma Control Questionnaire (ACQ)), quality of life (Asthma Quality of Life Questionnaire (AQLQ)), exacerbation-rate and medication-usage. Five distinct phenotypes were identified. The first phenotype was predominantly defined by their early onset atopic form of asthma. The second phenotype mainly consisted of female patients with a late onset asthma. The third phenotype were patients with high reversibility rates after bronchodilator usage. The fourth phenotype were smokers and the final phenotype were frequent exacerbators. The exacerbators phenotype had the worst outcomes for asthma control and quality of life and experienced the highest exacerbation-rate, despite using the most medication. The early onset phenotype patients were relatively well controlled and their medication dosage was low. ASTHMA: INDIVIDUALIZING TREATMENT BY PHENOTYPE: Asthma patients should be characterised according to their individual asthma type to ensure more targeted treatment. Even though asthma manifests itself in a wide variety of forms with differing degrees of severity, treatment of the disease often takes a broad, one-size-fits-all approach. To determine if asthma can indeed be split into distinct phenotypes, Rishi Khusial at the Leiden University Medical Center and co-workers across the Netherlands analysed data from 611 adult asthmatics treated in primary care, and followed them up after one year. The team identified five phenotypes in the primary care cohort, including one group with early onset asthma, another whose asthma responded well to bronchodilators, and a group classed as frequent exacerbators. Further analysis of long-term asthma outcomes showed clear differences between phenotypes, particularly in terms of asthma control and quality of life.

Indexed as

Primary Health CareAdolescentAdultAnti-Asthmatic AgentsAsthmaFemaleHumansLongitudinal StudiesMaleMiddle AgedPhenotypeQuality of LifeSurveys and QuestionnairesTreatment OutcomeYoung AdultAnti-Asthmatic Agents

Identifiers

PMID28974677
PMCPMC5626703

What OpenQuestion holds

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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.