Evidence map›Paper›PMID 29423187›Full record

ArticleJournal of global health2017

Prevalence of chronic obstructive pulmonary disease (COPD) in China in 1990 and 2010.

Kit Yee Chan, Xue Li, Wanjing Chen, Peige Song, Nuen Wing Katy Wong, Adrienne N Poon, Weiyan Jian, Ireneous N Soyiri, Simon Cousens, Davies Adeloye and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of global health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
12.1field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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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

14 authors at 6 institutions in 5 countries.

Kit Yee ChanCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Xue LiCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Wanjing ChenCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Peige SongCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Nuen Wing Katy WongCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Adrienne N PoonCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Weiyan JianDepartment of Health Policy and Management, School of Public Health, Peking University Health Science Centre, Beijing, China.
Ireneous N SoyiriCentre for Medical Informatics, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Simon CousensDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK.
Davies AdeloyeCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Aziz SheikhCentre for Medical Informatics, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.
Harry CampbellCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Igor RudanCentre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, The University of Edinburgh, Scontland, UK.
Global Health Epidemiology Research Group (GHERG)
University of Edinburgh · GBHospital Authority · CNLondon School of Hygiene & Tropical Medicine · GBPeking University · CNSichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital · CNUniversity of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) is set to become the third most frequent cause of death and also the third largest cause of global morbidity by 2020. In China, where the population is aging rapidly, COPD has become one of the leading causes of disability and a large economic burden. An epidemiological assessment of the COPD in China is required, with a focus on the number of cases living with disease, main determinants of the disease and time trends.

methodsWe systematically searched large Chinese bibliographic databases and English databases to identify spirometry-based epidemiological studies of the prevalence of COPD in China diagnosed according to GOLD criteria. We estimated age- and gender-specific prevalence of COPD using a multilevel mixed-effect logistic regression. We also presented the time trends of COPD between 1990 and 2010 by age, gender and setting (urban vs rural).

findingsIn 1990, the prevalence of COPD ranged from 0.49% (95% CI = 0.29-0.85) in <20 years group to 20.95% (95% CI = 14.04-27.04) in> = 80 years group, and the crude prevalence for China was 2.70% (95% CI = 1.86-3.51). In 2010, the prevalence in <20 years was 0.55% (95% CI = 0.37-1.04) and in> = 80 years was 22.89% (95% CI = 18.13-28.96), with the crude prevalence for China of 3.84% (95% CI = 3.30-4.77). The COPD prevalence in males was about two-fold higher than in females, and it increased with increasing age. Between 1990-2010, the total number of Chinese people living with COPD increased by 66.73%, from 30.90 million (95% CI = 21.28-40.02) in 1990 to 51.52 million (95% CI = 44.26-63.93) in 2010. This increase was most striking in middle age, and greater in females than in males from 30 years up to 64 years. Our estimates, which used an independent approach to acquiring data and development of analytical methods, and were based on a more complete data set, are remarkably similar to those produced recently by the GBD 2013 collaboration, differing by only about 5% in the estimated number of COPD cases in 1990 and by 1% in 2010.

conclusionsCOPD is a highly prevalent disease in China and its importance is growing steadily. The number of people living with COPD has increased substantially between 1990 and 2010. COPD is more frequent in males and in rural areas. Optimised primary and secondary prevention and treatment is urgently needed to counter this growing trend. Improved epidemiological studies will be required to assist development of more effective strategies of prevention and treatment of COPD in China in the next decade and beyond.

Indexed as

AdultAgedAged, 80 and overAge DistributionChinaFemaleHumansMaleMiddle AgedPrevalencePulmonary Disease, Chronic ObstructiveRural PopulationSex DistributionUrban PopulationYoung Adult

Identifiers

PMID29423187
PMCPMC5785871
OpenAlexW2781220280

What OpenQuestion holds

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LicenceCC BY
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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.