Evidence map›Paper›PMID 27595644›Full record

ArticleTherapeutic advances in respiratory disease2016

Uncontrolled asthma and its risk factors in adult Chinese asthma patients.

Nanshan Zhong, Jiangtao Lin, Jinping Zheng, Kefang Lai, Canmao Xie, Ke-Jing Tang, Mao Huang, Ping Chen, Changzheng Wang

Open access · hybridAbstract read
In one paragraph

Article in Therapeutic advances in respiratory disease, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.2field-weighted citation impact, top 20% 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, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 6 institutions in 1 country.

Nanshan ZhongDepartment of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, 151 Yanjiang Rd., 510120 Guangzhou, China nanshan_zhong9@126.com.
Jiangtao LinDepartment of Respiratory Disease, China-Japan Friendship Hospital, Beijing, China.
Jinping ZhengDepartment of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Kefang LaiDepartment of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Canmao XieDepartment of Respiratory Disease, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Ke-Jing TangDepartment of Respiratory Disease, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Mao HuangDepartment of Respiratory Disease, Jiangsu Provincial People's Hospital, Nanjing, China.
Ping ChenDepartment of Respiratory Disease, The General Hospital of Shenyang Military Region, Shenyang, China.
Changzheng WangDepartment of Respiratory Disease, Xinqiao Hospital, The Third Military Medical University, Chongqing, China.
Guangzhou Medical University · CNThe First Affiliated Hospital, Sun Yat-sen University · CNArmy Medical University · CNChina-Japan Friendship Hospital · CNGeneral Hospital of Shenyang Military Region · CNJiangsu Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma affects a large number of patients in China, but relatively little is known about asthma management among Chinese patients. This study aims to estimate asthma control rate among adult Chinese patients and to identify predictors associated with uncontrolled asthma.

methodsA total of 4125 asthma patients aged ⩾17 years and representing all regions of mainland China except Tibet were surveyed. Asthma control status was assessed using the Asthma Control Test (ACT) and classified as controlled (ACT score ⩾ 20) and uncontrolled (ACT score ⩽ 19). A multivariate logistic regression model was used to identify predictors associated with uncontrolled asthma from the factors including demographics, rhinitis, allergic rhinitis, and treatment adherence.

resultsAsthma was controlled in 44.9%, and uncontrolled in 55.1% of the study participants. High rates of uncontrolled asthma were found in patients with treatment nonadherence (77.3%), poor adherence (66.2%), no schooling (64.8%), or obesity (62.9%). The risk of uncontrolled asthma was much higher in the treatment nonadherence group than the complete adherence group [odds ratio (OR) = 4.55 (3.68-5.62), p < 0.001]. Other predictors for uncontrolled asthma included concomitant rhinitis [OR = 1.31 (1.14-1.50), p < 0.001], obesity [OR = 1.31 (1.05-1.64), p = 0.019], asthma duration > 3 years [OR = 1.22 (1.07-1.39), p = 0.004] and age ⩾ 45 years [OR = 1.23 (1.07-1.41), p = 0.004].

conclusionsAbout half of the participants in this study had uncontrolled asthma. Treatment nonadherence is one of the significant predictors, which is very strongly associated with uncontrolled asthma. Efforts should be prioritized to promote patients' treatment adherence to improve asthma control while attention is needed on rhinitis or obesity.

Indexed as

Medication AdherenceAdolescentAdultAgedAged, 80 and overAge FactorsAnti-Asthmatic AgentsAsthmaChinaCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMiddle AgedMultivariate AnalysisAnti-Asthmatic Agentsadultasthmacross-sectional studiesrisk factors

Identifiers

PMID27595644
PMCPMC5933594
OpenAlexW2514674492

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Registered trials

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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.