Evidence map›Paper›PMID 35273042›Full record

ArticleBMJ open2022

Risk of pneumonia in asthmatic children using inhaled corticosteroids: a nested case-control study in a birth cohort.

Pragya Shrestha, Chung-Il Wi, Hongfang Liu, Katherine S King, Euijung Ryu, Jung Hyun Kwon, Sunghwan Sohn, Miguel Park, Young Juhn

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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  4. Review
  5. Review
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

9 authors at 2 institutions in 2 countries.

Pragya ShresthaPrecision Population Science Lab, Department of Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Chung-Il WiPrecision Population Science Lab, Department of Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Hongfang LiuArtificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Katherine S KingClinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota, USA.
Euijung RyuComputational Biology, Mayo Clinic, Rochester, Minnesota, USA.
Jung Hyun KwonPrecision Population Science Lab, Department of Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Sunghwan SohnArtificial Intelligence and Informatics, Mayo Clinic, Rochester, Minnesota, USA.
Miguel ParkDivision of Allergic Diseases, Mayo Clinic, Rochester, Minnesota, USA.
Young JuhnPrecision Population Science Lab, Department of Pediatrics and Adolescent Medicine, Mayo Clinic, Rochester, Minnesota, USA juhn.young@mayo.edu.ORCID 0000-0003-2112-4240
Mayo Clinic · USMayo Clinic in Florida · US

Funding

TRAINING GRANT IN CLINICAL PHARMACOLOGYT32GM008685 · NIGMS · MAYO CLINIC ROCHESTER · PI Liewei Wang · 1998 to 2026
$8.2M
Identification and characterization of children with asthma-associated comorbidities through computational and immune phenotypingR01HL126667 · NHLBI · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, LIU, HONGFANG · 2015 to 2022
$4.3M
Improving the Risk Adjustment Method for Quality Care Measures through Application of an Innovative Individual-Level Socioeconomic MeasureR21AG065639 · NIA · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J · 2021 to 2022
$437k
Enhanced Ascertainment of Asthma Status Via Natural Language ProcessingR21AI116839 · NIAID · MAYO CLINIC ROCHESTER · PI JUHN, YOUNG J, WU, STEPHEN TZE-INN · 2015 to 2016
$437k
NHLBI NIH HHS R01 HL126667NIAID NIH HHS R21 AI116839NIA NIH HHS R21 AG065639NIGMS NIH HHS T32 GM008685
6 · The paper itself

Abstract

backgroundInhaled corticosteroids (ICSs) are important in asthma management, but there are concerns regarding associated risk of pneumonia. While studies in asthmatic adults have shown inconsistent results, this risk in asthmatic children is unclear.

objectiveOur aim was to determine the association of ICS use with pneumonia risk in asthmatic children.

methodsA nested case-control study was performed in the Mayo Clinic Birth Cohort. Asthmatic children (<18 years) with a physician diagnosis of asthma were identified from electronic medical records of children born at Mayo Clinic from 1997 to 2016 and followed until 31 December 2017. Pneumonia cases defined by Infectious Disease Society of America were 1:1 matched with controls without pneumonia by age, sex and asthma index date. Exposure was defined as ICS prescription at least 90 days prior to pneumonia. Associations of ICS use, type and dose (low, medium and high) with pneumonia risk were analysed using conditional logistic regression.

resultsOf the 2108 asthmatic children eligible for the study (70% mild intermittent and 30% persistent asthma), 312 children developed pneumonia during the study period. ICS use overall was not associated with risk of pneumonia (adjusted OR: 0.94, 95% CI: 0.62 to 1.41). Poorly controlled asthma was significantly associated with the risk of pneumonia (OR: 2.03, 95% CI: 1.35 to 3.05; p<0.001). No ICS type or dose was associated with risk of pneumonia.

conclusionICS use in asthmatic children was not associated with risk of pneumonia but poorly controlled asthma was. Future asthma studies may need to include pneumonia as a potential outcome of asthma management.

Indexed as

Anti-Asthmatic AgentsAsthmaPneumoniaAdministration, InhalationAdrenal Cortex HormonesAdultBirth CohortCase-Control StudiesChildHumansAdrenal Cortex HormonesAnti-Asthmatic Agentsasthmaclinical pharmacologycommunity child healthepidemiology

Identifiers

PMID35273042
PMCPMC8915358
OpenAlexW4220677331

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.