Evidence map›Paper›PMID 32075169›Full record

ArticleInternational journal of environmental research and public health2020

Regional Variation of Hospitalization Rates for Asthma in Korea: Association with Ambient Carbon Monoxide and Health Care Supply.

Agnus M Kim, Sungchan Kang, Jong Heon Park, Yoon Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Observational
  3. 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

4 authors at 2 institutions in 1 country.

Agnus M KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0002-6616-2534
Sungchan KangGraduate School of Public Health, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-4876-3205
Jong Heon ParkNational Health Insurance Service, Wonju 26464, Korea.
Yoon KimDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul 03080, Korea.ORCID 0000-0001-7257-1679
Seoul National University · KRNational Health Insurance Service · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was performed to investigate the relationship between the hospitalization rate for asthma and the ambient carbon monoxide (CO) by examining regional variation of the hospitalization rates for asthma in Korea and its factors. The hospital inpatient claims for asthma were acquired from the National Health Insurance database in 2015. A multivariate linear regression was performed with the hospitalization rate for asthma as a dependent variable. The annual ambient concentration of CO showed a negative association with the hospitalization rates for asthma while that of sulfur dioxide showed a positive association. The number of primary care physicians showed a negative association with the hospitalization rates for asthma while the number of beds in hospitals with less than 300 beds showed a positive association. The negative association of the ambient concentration of CO with the hospitalization rates for asthma showed results upon further investigation.

Indexed as

Carbon MonoxideAir PollutantsAir PollutionAsthmaEnvironmental ExposureFemaleHospitalizationHumansMaleRepublic of KoreaSulfur DioxideAir PollutantsCarbon MonoxideSulfur Dioxideasthmabedcarbon monoxidehospitalizationincomeKoreapollutants

Identifiers

PMID32075169
PMCPMC7068567
OpenAlexW3005882452

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.