Evidence map›Paper›PMID 32024332›Full record

ArticleClinical and experimental pediatrics2020

Asthma predictive index as a useful diagnostic tool in preschool children: a cross-sectional study in Korea.

Dong Hyeon Lee, Ji-Won Kwon, Hyung Young Kim, Ju-Hee Seo, Hyo-Bin Kim, So-Yeon Lee, Gwang-Cheon Jang, Dae-Jin Song, Woo Kyung Kim, Young-Ho Jung and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Clinical and experimental pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Early Prediction of Asthma.Journal of clinical medicine · 2023
    Review
  3. Diagnosis and management of asthma in infants and preschoolers.Clinical and experimental pediatrics · 2022
    Article
  4. Article
  5. 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

12 authors at 7 institutions in 1 country.

Dong Hyeon LeeDepartment of Pediatrics, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ji-Won KwonDepartment of Pediatrics, Seoul National University Bundang Hospital, Sungnam, Korea.
Hyung Young KimDepartment of Pediatrics, Pusan National University Yangsan Hospital, Yangsan, Korea.
Ju-Hee SeoDepartment of Pediatrics, Korea Cancer Center Hospital, Seoul, Korea.
Hyo-Bin KimDepartment of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea.
So-Yeon LeeDepartment of Pediatrics, Childhood Asthma Atopy Center, Research Center for Standardization of Allergic Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Gwang-Cheon JangDepartment of Pediatrics, National Health Insurance Corporation Ilsan Hospital, Goyang, Korea.
Dae-Jin SongDepartment of Pediatrics, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Woo Kyung KimDepartment of Pediatrics, Inje University Seoul Paik Hospital, Seoul, Korea.
Young-Ho JungDepartment of Pediatrics, Childhood Asthma Atopy Center, Research Center for Standardization of Allergic Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Soo-Jong HongDepartment of Pediatrics, Childhood Asthma Atopy Center, Research Center for Standardization of Allergic Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Jung Yeon ShimDepartment of Pediatrics, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea.
Ulsan College · KRInje University Sanggye Paik Hospital · KRKangbuk Samsung Hospital · KRInje University Seoul Paik Hospital · KRKorea University Medical Center · KRNational Health Insurance Service · KRSeoul National University Bundang Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is challenging to diagnose asthma in preschool children. The asthma predictive index (API) has been used to predict asthma and decide whether to initiate treatment in preschool children. PURPOSE: This study aimed to investigate the association between questionnaire-based current asthma with API, pulmonary function, airway hyperreactivity (AHR), fractional expiratory nitric oxide (FeNO), and atopic sensitization in preschool children.

methodsWe performed a population-based cross-sectional study in 916 preschool children aged 4-6 years. We defined current asthma as the presence of both physician-diagnosed asthma and at least one wheezing episode within the previous 12 months using a modified International Study of Asthma and Allergies in Childhood questionnaire. Clinical and laboratory parameters were compared between groups according to the presence of current asthma.

resultsThe prevalence of current asthma was 3.9% in the study population. Children with current asthma showed a higher rate of positive bronchodilator response and loose and stringent API scores than children without current asthma. The stringent API was associated with current asthma with 72.2% sensitivity and 82.0% specificity. The diagnostic accuracy of the stringent API for current asthma was 0.771. However, no intergroup differences in spirometry results, methacholine provocation test results, FeNO level, or atopic sensitization rate were observed.

conclusionThe questionnaire-based diagnosis of current asthma is associated with API, but not with spirometry, AHR, FeNO, or atopic sensitization in preschool children.

Indexed as

AllergyAsthmaDiagnosisPreschool childWheezing

Identifiers

PMID32024332
PMCPMC7073380
OpenAlexW2984657349

What OpenQuestion holds

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LicenceCC BY-NC
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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.