Evidence map›Paper›PMID 32044466›Full record

ArticleAcademic pediatrics

Variability in Diagnosed Asthma in Young Children in a Large Pediatric Primary Care Network.

Chén C Kenyon, Mitchell G Maltenfort, Rebecca A Hubbard, Leah H Schinasi, Anneclaire J De Roos, Sarah E Henrickson, Tyra C Bryant-Stephens, Christopher B Forrest

Open access · greenAbstract read
In one paragraph

Article in Academic pediatrics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 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

8 authors at 3 institutions in 1 country.

Chén C KenyonPolicyLab, Children's Hospital of Philadelphia (CC Kenyon and TC Bryant-Stephens); Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania (CC Kenyon, SE Henrickson, and CB Forrest). Electronic address: kenyonc@email.chop.edu.
Mitchell G MaltenfortApplied Clinical Research Center, Children's Hospital of Philadelphia (MG Maltenfort and CB Forrest).
Rebecca A HubbardDepartment of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania (RA Hubbard).
Leah H SchinasiDepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University (LH Schinasi and AJ De Roos); Urban Health Collaborative, Dornsife School of Public Health, Drexel University (LH Schinasi and AJ De Roos).
Anneclaire J De RoosDepartment of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University (LH Schinasi and AJ De Roos); Urban Health Collaborative, Dornsife School of Public Health, Drexel University (LH Schinasi and AJ De Roos).
Sarah E HenricksonDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania (CC Kenyon, SE Henrickson, and CB Forrest); Division of Allergy and Immunology, Children's Hospital of Philadelphia and Institute for Immunology, Perelman School of Medicine (SE Henrickson), Philadelphia, Pa.
Tyra C Bryant-StephensPolicyLab, Children's Hospital of Philadelphia (CC Kenyon and TC Bryant-Stephens).
Christopher B ForrestDepartment of Pediatrics, Perelman School of Medicine, University of Pennsylvania (CC Kenyon, SE Henrickson, and CB Forrest); Applied Clinical Research Center, Children's Hospital of Philadelphia (MG Maltenfort and CB Forrest).
Children's Hospital of Philadelphia · USDrexel University · USUniversity of Pennsylvania · US

Funding

Incentive-based Mobile Health Adherence Intervention for High Risk Children with AsthmaK23HL136842 · NHLBI · CHILDREN'S HOSP OF PHILADELPHIA · PI KENYON, CHEN COLLIN · 2019 to 2023
$908k
NHLBI NIH HHS K23 HL136842
6 · The paper itself

Abstract

objectiveOur objectives were to 1) quantify the frequency of wheezing episodes and asthma diagnosis in young children in a large pediatric primary care network and 2) assess the variability in practice-level asthma diagnosis, accounting for common asthma risk factors and comorbidities. We hypothesized that significant variability in practice-level asthma diagnosis rates would remain after adjusting for associated predictors.

methodsWe generated a retrospective longitudinal birth cohort of children who visited 1 of 31 pediatric primary care practices within the first 6 months of life from 1/2005 to 12/2016. Children were observed for up to 8 years or until the end of the observation window. We used multivariable discrete time survival models to evaluate predictors of asthma diagnosis by 3-month age intervals. We compared unadjusted and adjusted proportions of children diagnosed with asthma by practice.

resultsOf the 161,502 children in the cohort, 34,578 children (21%) received at least 1 asthma diagnosis. In multivariable modeling, male gender, minority race/ethnicity, gestational age <34 weeks, allergic rhinitis, food allergy, and prior wheezing episodes were associated with asthma diagnosis. After adjusting for variation in these predictors across practices, the cumulative incidence of asthma diagnosis by practice by age 6 years ranged from 11% to 47% (interquartile range: 24%-29%).

conclusionsAcross pediatric primary care practices, adjusted incidence of asthma diagnosis by age 6 years ranged widely, though variation gauged by the interquartile range was more modest. Potential sources of practice-level variation, such as differing diagnosis thresholds and labeling of different wheezing phenotypes as "asthma," should be further investigated.

Indexed as

AsthmaRhinitis, AllergicChildChild, PreschoolHumansInfantMalePrimary Health CareRespiratory SoundsRetrospective StudiesRisk Factorsasthma incidencechildhood wheezingvariation in diagnosis

Identifiers

PMID32044466
PMCPMC8628349
OpenAlexW3004776766

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.