Evidence map›Paper›PMID 20187289›Full record

ArticleEuropean journal of clinical pharmacology2010

Prescriptions as a proxy for asthma in children: a good choice?

Falk Hoffmann, Gerd Glaeske

Open access · greenAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in European journal of clinical pharmacology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Falk HoffmannCenter for Social Policy Research, University of Bremen, Germany. hoffmann@zes.uni-bremen.de
Gerd Glaeske
University of Bremen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeStock et al. (Eur Respir J 25:47-53, 2005) recently estimated asthma prevalence in Germany using claims data on prescriptions and hospital diagnoses and found high prevalence peaks in infants. Our objective was to critically assess and discuss various aspects of identifying children with asthma using prescription data.

methodsWe replicated the selection procedure of Stock et al. using data on 290,919 children aged 0-17 years insured in the Gmünder ErsatzKasse (GEK) in 2005. Asthma prevalence was also estimated in a sample of 17,641 children aged 0-17 years participating in the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) from 2003 to 2006.

resultsIn children aged 0-4 years insured in the GEK, prevalences were found to range from 11.7 to 17.7% for boys and from 7.2 to 11.1% for girls when the criteria of Stock et al. were applied. A steady decline in prevalences was observed in older age groups. Asthma prevalence estimated in the KiGGS data showed a quite different distribution. In the age group 0-4 years, prevalences were found to range from 0 to 2.6% in boys and from 0 to 1.0% in girls; in children >4 years, prevalences were found to increase with increasing age.

conclusionsWhen additional validation studies were taken into account, asthma medications were found to be prescribed not only for asthma but also for other respiratory diseases. In addition, not all children with current asthma had prescriptions. We therefore conclude that asthma medications are therefore not a good proxy for the disease.

Indexed as

AdolescentAge DistributionAge FactorsAnti-Asthmatic AgentsAsthmaChildChild, PreschoolDrug PrescriptionsDrug UtilizationFemaleGermanyHealth Care SurveysHumansInfantInfant, NewbornInsurance, Pharmaceutical ServicesAnti-Asthmatic Agents

Identifiers

PMID20187289
OpenAlexW2085909904

What OpenQuestion holds

Textmetadata
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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.