Evidence map›Paper›PMID 25397972›Full record

ArticlePloS one2014

Risk factors for asthma-related healthcare use: longitudinal analysis using the NHI claims database in a Korean asthma cohort.

Taehoon Lee, Jinhee Kim, Sujeong Kim, Kyoungjoo Kim, Yunjin Park, Yuri Kim, Yoon Su Lee, Hyouk-Soo Kwon, Sae-Hoon Kim, Yoon-Seok Chang and 11 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Systematic Literature Review of Systemic Corticosteroid Use for Asthma Management.American journal of respiratory and critical care medicine · 2020
    Pooled it
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  12. Observational
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  15. Factors Predicting Recovery From Asthma Exacerbations.Allergy, asthma & immunology research · 2016
    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

21 authors at 12 institutions in 1 country.

Taehoon LeeDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Jinhee KimNational Evidence-based Healthcare Collaborating Agency, Seoul, Korea; Department of Nursing, College of Medicine, Chosun University, Gwangju, Korea.
Sujeong KimDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea; Department of Internal Medicine, Kyungpook National University School of Medicine, Daegu, Korea.
Kyoungjoo KimNational Evidence-based Healthcare Collaborating Agency, Seoul, Korea.
Yunjin ParkDepartment of Statistics, Dongguk University, Seoul, Korea.
Yuri KimNational Evidence-based Healthcare Collaborating Agency, Seoul, Korea.
Yoon Su LeeDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyouk-Soo KwonDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Sae-Hoon KimDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Yoon-Seok ChangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
You Sook ChoDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
An-Soo JangDepartment of Internal Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Jung-Won ParkDepartment of Internal Medicine, College of Medicine, Yonsei University, Seoul, Korea.
Dong-Ho NahmDepartment of Internal Medicine, College of Medicine, Ajou University, Suwon, Korea.
Ho-Joo YoonDepartment of Internal Medicine, College of Medicine, Hanyang University, Seoul, Korea.
Sang-Heon ChoDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.
Young-Joo ChoDepartment of Internal Medicine, College of Medicine, Ewha Womans University, Seoul, Korea.
Byoung Whui ChoiDepartment of Internal Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.
Hee-Bom MoonDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Tae-Bum KimDepartment of Allergy and Clinical Immunology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
COREA study group
University of Ulsan · KRNational Evidenc- based healthcare Collaborating Agency · KRSeoul National University · KRUlsan College · KRAjou University · KRAsan Medical Center · KRBucheon University · KRChung-Ang University · KRDongguk University · KREwha Womans University · KRHanyang University · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThough insurance claims data are useful for researching asthma, they have important limitations, such as a diagnostic inaccuracy and a lack of clinical information. To overcome these drawbacks, we used the novel method by merging the clinical data from our asthma cohort with the National Health Insurance (NHI) claims data. METHODS AND

resultsLongitudinal analysis of asthma-related healthcare use from the NHI claims database, merged with data of 736 patients registered in a Korean asthma cohort, was conducted for three consecutive years from registration of the cohort. Asthma-related asthma healthcare referred to outpatient and emergency department visits, hospitalizations, and the use of systemic corticosteroids. Univariate and multivariate logistic regression analysis was used to evaluate risk factors for asthma-related healthcare. Over three years after enrollment, many patients changed from tertiary to primary/secondary hospitals with a lack of maintenance of inhaled corticosteroid-based controllers. An independent risk factor for emergency visits was a previous history of asthma exacerbation. In hospitalizations, old age and Asthma Control Test (ACT) score variability were independent risk factors. An independent risk factor for per person cumulative duration of systemic corticosteroids was the FEV1 (Forced expiratory volume in one second)%. The use of systemic corticosteroids was independently associated with being female, the FEV1%, and ACT score variability.

conclusionWe found that old age, being female, long-standing asthma, a low FEV1%, asthma brittleness, asthma drug compliance, and a history of asthma exacerbation were independent risk factors for increased asthma-related healthcare use in Korea.

Indexed as

Delivery of Health CareAdministration, InhalationAdrenal Cortex HormonesAdultAgedAge FactorsAsian PeopleAsthmaCohort StudiesDatabases, FactualEmergency Service, HospitalFemaleForced Expiratory VolumeHospitalsHumansLogistic ModelsAdrenal Cortex Hormones

Identifiers

PMID25397972
PMCPMC4232512
OpenAlexW2094798928

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.