Evidence map›Paper›PMID 38476591›Full record

ReviewPatient preference and adherence2024

Medication Adherence in Children with Asthma.

Paddy McCrossan, Michael D Shields, James C McElnay

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Patient preference and adherence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07364643 (Assessment of Asthma Management in Children Over 6 Years of Age and Their Caregivers. Implications for the Implementation of the SMART Strategy in Pediatrics.), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.9field-weighted citation impact, top 6% 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.

NCT07364643 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Assessment of Asthma Management in Children Over 6 Years of Age and Their Caregivers. Implications for the Implementation of the SMART Strategy in Pediatrics.

TypeinterventionalSponsorFundació Institut de Recerca de l'Hospital de la Santa Creu i Sant PauRan2026 to 2027Enrolled428ConditionsAsthma ChildhoodArmsEducational Intervention
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
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  7. Review
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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 1 institution in 1 country.

Paddy McCrossanPaediatric Respiratory Medicine, Royal Belfast Hospital for Sick Children, Belfast, Northern Ireland.ORCID 0000-0001-5242-4866
Michael D ShieldsWellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, Northern Ireland.ORCID 0000-0002-3793-3571
James C McElnaySchool of Pharmacy, Queen's University Belfast, Belfast, Northern Ireland.
Queen's University Belfast · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is the most common chronic disease in childhood. If untreated, asthma can lead to debilitating daily symptoms which affect quality of life, but more importantly can lead to fatal asthma attacks which unfortunately still occur globally. The most effective treatment strategy for controlling asthma is for the patient to follow a personalised asthma action plan (PAAP) which will invariably include regular use of an inhaled corticosteroid. To examine medication adherence in children with asthma, we collated recent evidence from systematic reviews in this area to address the following 5 key questions; What is adherence? Is there evidence that children are not adhering to preventer medication? Why is adherence poor and what are the barriers to adherence? Does good adherence improve outcomes in asthma? And lastly, how can treatment adherence be improved?

Indexed as

adherenceasthmachildreninhaled corticosteroidinhaler

Identifiers

PMID38476591
PMCPMC10929205
OpenAlexW4392466128

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.