Evidence map›Paper›PMID 25505697›Full record

ArticleTranslational respiratory medicine2014

Epidemiology of bronchial asthma and asthma control assessment in Henan Province, China.

Wenping Zhang, Xianliang Chen, Lijun Ma, Jizhen Wu, Limin Zhao, Hongyan Kuang, Taibo Huang, Jianjian Cheng, Luoxian Zhang, Yong Qi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational respiratory medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Pathogenetic and prognostic roles of bloodborne fibrocytes in asthma.Journal of Zhejiang University. Science. B · 2015
    Review
  6. 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

12 authors.

Wenping ZhangDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Xianliang ChenDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Lijun MaDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Jizhen WuDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Limin ZhaoDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Hongyan KuangDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Taibo HuangDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Jianjian ChengDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Luoxian ZhangDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Yong QiDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Beibei SunDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.
Hongyan NiuDepartment of Respiratory and Critical Care Medicine, People's Hospital of Henan Province, Zhengzhou University, Zhengzhou, Henan Province China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevalence of bronchial asthma, asthma treatment assessment, and estimation of the control level among asthma patients in Henan Province, China are reported in this paper.

methodsWe selected 10 among the 109 cities and districts in Henan province using a multistage stratified cluster random sampling method. A total of 500 households from each city and district were chosen. Approximately 20,000 residents from a total of 5,000 households were randomly selected to answer a questionnaire recommended by the China Asthma Alliance. Asthma patients were asked to answer a detailed questionnaire using the symptom-based guidelines to assess the levels of disease control.

resultsThe overall prevalence of asthma was 0.73% ± 0.12%. Urban and rural residents had asthma prevalence rates of 1.1% ± 0.23% (88/7,924) and 0.48% ± 0.12% (57/11,792), respectively. Among the asthma patients, only 33.8% (52) received regular medication, 25% (13) used oral glucocorticoids, and 71.1% (37) used oral theophylline. The classified control levels of patients were as follows: 33.1% controlled, 49.7% partially controlled, and 17.2% uncontrolled. A total of 38.5% and 27.5% of regularly and irregularly treated asthma patients reached controlled level, respectively. The two groups significantly differed in asthma control level.

conclusionAsthma prevalence is low in Henan Province, China. Urban residents have higher prevalence of asthma than rural residents do. Patients with asthma receive insufficient medication, resulting in suboptimal asthma control. Improvement in diagnosis and treatment of asthma patients is urgently needed.

Indexed as

Asthma controlAsthma guidelineMedications for asthmaPrevalenceSocioeconomic status

Identifiers

PMID25505697
PMCPMC4215820

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.