Evidence map›Paper›PMID 27826962›Full record

ArticleAllergy, asthma & immunology research2017

Asthma Severity and the Controller Prescription in Children at 12 Tertiary Hospitals.

Dong In Suh, Hyeon Jong Yang, Bong Seong Kim, Youn Ho Shin, So Yeon Lee, Geunhwa Park, Woo Kyung Kim, Hyo Bin Kim, Heysung Baek, Ja Kyoung Kim and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Allergy, asthma & immunology research, 2017. 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
0.8field-weighted citation impact, top 25% 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, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Parental questionnaires provided reliable data on childhood asthma compared with national registers.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2021
    Article
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  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

13 authors at 12 institutions in 3 countries.

Dong In SuhDepartment of Pediatrics, Seoul National University College of Medicine, Seoul, Korea.
Hyeon Jong YangDepartment of Pediatrics, Soonchunhyang University Hospital, Seoul, Korea.
Bong Seong KimDepartment of Pediatrics, Gangneung Asan Hospital, University of Ulsan College of Medicine, Gangneung, Korea.
Youn Ho ShinDepartment of Pediatrics, Gangnam CHA Hospital, Seoul, Korea.
So Yeon LeeDepartment of Pediatrics, Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea.
Geunhwa ParkDepartment of Pediatrics, Gwanghye General Hospital, Busan, Korea.
Woo Kyung KimDepartment of Pediatrics, Seoul Paik Hospital, Inje University College of Medicine, Seoul, Korea.
Hyo Bin KimDepartment of Pediatrics, Inje University Sanggye Paik Hospital, Seoul, Korea.
Heysung BaekDepartment of Pediatrics, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea.
Ja Kyoung KimDepartment of Pediatrics, Kangwon National University Hospital, Chuncheon, Korea.
Jin Tack KimDepartment of Pediatrics, Uijeongbu St. Mary's Hospital, The Catholic University of Korea, College of Medicine, Uijeongbu, Korea. jintackk@catholic.ac.kr.
Dae Hyun LimDepartment of Pediatrics, Inha University Hospital, Incheon, Korea.
Asthma Study Group for Preschool Children
CHA University Gangnam Medical Center · KRChosun University Dental Hospital · KRInha University Hospital · KRInje University Sanggye Paik Hospital · KRInje University Seoul Paik Hospital · KRKangdong Sacred Heart Hospital · KRKangwon National University Hospital · KRSacred Heart Hospital · USSeoul National University · KRSoonchunhyang University Hospital Seoul · KRThe Catholic University of Korea Uijeongbu St. Mary's Hospital · KRUniversity of Ulsan · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeGuidelines need to be tailored to where they are applied. We aimed to describe the distinctive asthma severity profile and the pattern of controller prescription in Korean children.

methodsTwelve pediatric allergists from tertiary medical centers reviewed medical records of all asthmatic children who visited their clinics between September 1 and November 30 of 2013. Controller prescriptions were re-classified into 4 categories, then the prevalence of each asthma severity category and the controller prescription patterns according to asthma severity assessed by a Western (Global Initiative for Asthma, GINA) and an Asia-Pacific (Japanese Pediatric GuideLine, JPGL) guideline were evaluated.

resultsA total of 840 cases were reviewed. Both GINA and JPGL revealed that 328 (39.0%) and 249 (29.6%) subjects had intermittent asthma whereas 24 (2.9%) and 21 (2.5%) subjects had severe persistent asthma, respectively. Although higher category controllers tended to be prescribed to those who had more severe asthma, there was much overlap in categories of prescribed controllers between groups with regard to asthma severities. Leukotriene receptor antagonists (LTRA) was the most frequently prescribed as a single controller (40%) or as an add-on medication (19%) in the group of asthmatic children <6 years.

conclusionsKorean children have distinctive patterns of asthma severity and management strategies with a lower prevalence of severe asthma and a preference toward LTRA rather than low dose inhaled corticosteroids (ICS) alone or add-on long-acting beta-agonist (LABA) in the group of <6 year-old asthmatics that has not been predicted in Western countries. Thus, strategies tailored to regional situations need to be developed and recommended.

Indexed as

AsthmachildguidelineLeukotriene antagonistsRepublic of Korea

Identifiers

PMID27826962
PMCPMC5102836
OpenAlexW2548884562

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.