Evidence map›Paper›PMID 23378753›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2013

Characteristics of stable chronic obstructive pulmonary disease patients in the pulmonology clinics of seven Asian cities.

Yeon-Mok Oh, Arvind B Bhome, Watchara Boonsawat, Kirthi Dias Gunasekera, Dushantha Madegedara, Luisito Idolor, Camilo Roa, Woo Jin Kim, Han-Pin Kuo, Chun-Hua Wang and 12 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Bronchoscopic lung volume reduction by endobronchial valve in advanced emphysema: the first Asian report.International journal of chronic obstructive pulmonary disease · 2015
    Trial
  5. Article
  6. Article
  7. Observational
  8. Low- and middle- income countries have a different illness profile.Journal of family medicine and primary care · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Study Design of VESUTOAdvances in therapy · 2017
    Article
  16. Validation of the St. George's Respiratory Questionnaire in Nepal.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2015
    Article
  17. LAMA/LABA vs ICS/LABA in the treatment of COPD in Japan based on the disease phenotypes.International journal of chronic obstructive pulmonary disease · 2015
    Review
  18. Article
  19. Article
  20. 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

22 authors.

Yeon-Mok OhDepartment of Pulmonary and Critical Care Medicine and Clinical Research Center for Chronic Obstructive Airway Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Arvind B Bhome
Watchara Boonsawat
Kirthi Dias Gunasekera
Dushantha Madegedara
Luisito Idolor
Camilo Roa
Woo Jin Kim
Han-Pin Kuo
Chun-Hua Wang
Le Thi Tuyet Lan
Li-Cher Loh
Choo-Khoon Ong
Alan Ng
Masaharu Nishimura
Hironi Makita
Edwin K Silverman
Jae Seung Lee
Ting Yang
Yingxiang Lin
Chen Wang
Sang-Do Lee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesChronic obstructive pulmonary disease (COPD) is responsible for significant morbidity and mortality worldwide. We evaluated the characteristics of stable COPD patients in the pulmonology clinics of seven Asian cities and also evaluated whether the exposure to biomass fuels and dusty jobs were related to respiratory symptoms, airflow limitation, and quality of life in the COPD patients.

methodsThis cross-sectional observational study recruited 922 COPD patients from seven cities of Asia. The patients underwent spirometry and were administered questionnaires about their exposure to cigarette smoking, biomass fuels, and dusty jobs in addition to respiratory symptoms and health related quality of life.

resultsOf the patients, there appeared to be variations from city to city in the history of exposure to biomass fuels and dusty jobs and also in respiratory symptoms of cough, phlegm, wheeze, and dyspnea. These symptoms were more frequent in those COPD patients with a history of exposure to biomass fuels than without and those with a history of exposure to dusty jobs than without (P < 0.01 for all comparisons). Airflow limitation was more severe in those COPD patients with a history of exposure to biomass fuels than without (52.2% predicted versus 55.9% of post-bronchodilator forced expiratory volume in 1 second [FEV(1)], P = 0.009); quality of life was poorer in those with exposure to biomass fuels than without (40.4 versus 36.2 of the St George's Respiratory Questionnaire [SGRQ] total score, P = 0.001). Airflow limitation was more severe in those COPD patients with a history of exposure to dusty jobs than without (51.2% predicted versus 57.3% of post-bronchodilator FEV(1), P < 0.001); quality of life was poorer in those with dusty jobs than without (41.0 versus 34.6 of SGRQ score, P = 0.006).

conclusionIn Asian cities, the characteristics of COPD patients vary and the history of exposure to biomass fuels or dusty jobs was related to frequency of symptoms, severe airflow limitation, and poor quality of life.

Indexed as

AgedAirway ResistanceAmbulatory Care FacilitiesAsiaCoughCross-Sectional StudiesDustDyspneaEnvironmental ExposureFemaleHumansMaleMultivariate AnalysisOccupational ExposurePulmonary Disease, Chronic ObstructiveQuality of LifeDustVehicle EmissionsAsiabiomassCOPDdust

Identifiers

PMID23378753
PMCPMC3553655

What OpenQuestion holds

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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.