Cited by 110Asthma and respiratory diseasesChronic Obstructive Pulmonary Disease (COPD) ResearchChronic Disease Management Strategies

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Prevalence of Comorbidities in Asthma and Nonasthma Patients: A Meta-analysis

Open access

Abstract

This study compares the prevalence rates of comorbidities between asthma and nonasthma control patients reported in the literature.Literature was searched in several electronic databases. After the selection of studies by following précised eligibility criteria, meta-analyses of odds ratios were carried out with subgroup and sensitivity analyses.Eleven studies studying 117,548 asthma patients compared with 443,948 non-asthma controls were included in the meta-analysis. The prevalence of cardiovascular comorbidities (odds ratio (OR): [95% CI] 1.90 [1.70, 2.14]; P < 0.00001), cerebrovascular comorbidities (OR 1.44 [1.29, 1.60]; P < 0.00001), obesity (OR 1.51 [1.14, 2.01]; P < 0.00001), hypertension (OR 1.66 [1.47, 1.88]; P < 0.00001, diabetes (OR 1.25 [1.08, 1.44]; P < 0.00001), other metabolic and endocrine comorbidities (OR 1.60 [1.40, 1.83]; P < 0.00001), psychiatric and neurological comorbidities (OR 1.62 [1.44, 1.82]; P < 0.00001), gut and urinary comorbidities (OR 1.91 [1.47, 2.49]; P < 0.00001),), cancer (OR 1.17 [1.10, 1.25]; P < 0.00001), and respiratory comorbidities (OR 5.60 [4.22, 7.44]; P < 0.00001) were significantly higher in the asthma patients in comparison with nonasthma controls.Asthma is associated with significantly higher comorbidities including cardio-/cerebrovascular diseases, obesity, hypertension, diabetes, psychiatric and neurological comorbidities, gut and urinary conditions, cancer, and respiratory problems other than asthma. Respiratory comorbidities are found 5 times more prevalent in asthma than in non-asthma patients.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1097/md.0000000000003459

Cites

38 of 38 references verified0 citation errors · 0 not checkable

Statistics

Figures

FIGURE 1 A flowchart of the literature search, study screening, and selection process.
FIGURE 1 A flowchart of the literature search, study screening, and selection process.CC BY · PubMed Central
FIGURE 2 A funnel plot of the overall meta-analysis of metabolic and endocrine comorbidities reflecting publication bias.
FIGURE 2 A funnel plot of the overall meta-analysis of metabolic and endocrine comorbidities reflecting publication bias.CC BY · PubMed Central
FIGURE 3 Forest plots showing significantly higher prevalence of cardiovascular and cerebrovascular comorbidities in asthma patients. CAD = coronary artery disease, CeVD = cerebrovascular disease, CHD = coronary heart disease, CHF = congestive heart failure, Cong. HD = congenital heart disease, CVD = cardiovascular disease, dis = disease/disorder, MI = myocardial infarction.
FIGURE 3 Forest plots showing significantly higher prevalence of cardiovascular and cerebrovascular comorbidities in asthma patients. CAD = coronary artery disease, CeVD = cerebrovascular disease, CHD = coronary heart disease, CHF = congestive heart failure, Cong. HD = congenital heart disease, CVD = cardiovascular disease, dis = disease/disorder, MI = myocardial infarction.CC BY · PubMed Central
FIGURE 4 Forest plots showing significantly higher prevalence of metabolic comorbidities in asthma patients. dis. = disease/disorder, DYSLIP = dyslipidemia, HYPLIP = hyperlipidemia, THY = thyroid.
FIGURE 4 Forest plots showing significantly higher prevalence of metabolic comorbidities in asthma patients. dis. = disease/disorder, DYSLIP = dyslipidemia, HYPLIP = hyperlipidemia, THY = thyroid.CC BY · PubMed Central
FIGURE 5 Forest plots showing significantly higher prevalence of neurological and psychiatric comorbidities in asthma patients. ANX = anxiety, COGN = cognitive impairment, DEM = dementia, DEP = depression, dis. = disease/disorder.
FIGURE 5 Forest plots showing significantly higher prevalence of neurological and psychiatric comorbidities in asthma patients. ANX = anxiety, COGN = cognitive impairment, DEM = dementia, DEP = depression, dis. = disease/disorder.CC BY · PubMed Central
FIGURE 6 Forest plots showing significantly higher prevalence of gastrointestinal and urinary comorbidities in asthma patients. dis = disease/disorder, GERD = gastro-esophageal reflex disease.
FIGURE 6 Forest plots showing significantly higher prevalence of gastrointestinal and urinary comorbidities in asthma patients. dis = disease/disorder, GERD = gastro-esophageal reflex disease.CC BY · PubMed Central
FIGURE 7 Forest plots showing significantly higher prevalence of respiratory comorbidities in asthma patients. Bronch = bronchitis, ch = chronic, COPD = chronic obstructive pulmonary disease, Infect = infection/s, Resp = respiratory.
FIGURE 7 Forest plots showing significantly higher prevalence of respiratory comorbidities in asthma patients. Bronch = bronchitis, ch = chronic, COPD = chronic obstructive pulmonary disease, Infect = infection/s, Resp = respiratory.CC BY · PubMed Central
FIGURE 8 Forest plots showing significantly higher prevalence of cancer and other comorbidities in asthma patients. However, the prevalence of arthritis was not significantly different between asthma and nonasthma patients.
FIGURE 8 Forest plots showing significantly higher prevalence of cancer and other comorbidities in asthma patients. However, the prevalence of arthritis was not significantly different between asthma and nonasthma patients.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 37 references

Cited by

Sorted by citations

See all 110

Metadata

Authors
Su, X., Ren, Y., Li, M., Zhao, X., Kong, L., & Kang, J.
Affiliations
First Hospital of China Medical University (CN)
Corresponding author
Su, Xinming
Venue
Medicine
Published
2016-05
Volume
95
Issue
22
Pages
e3459
ISSN
0025-7974 (ISSN-L)
OpenAlex
W2411471160
Cited by
110
References
37
Citations by year
2026: 8 · 2025: 4 · 2024: 14 · 2023: 15 · 2022: 10 · 2021: 15 · 2020: 11 · 2019: 18 · 2018: 10 · 2017: 5
FWCI
1.29
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Medicine (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (2013225049, 81300024)
  • Department of Science and Technology of Liaoning Province (2013225049)
Topics
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Asthma and respiratory diseases
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
  • Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
Keywords
asthma, comorbidities, cardiovascular comorbidity, obesity, hypertension, diabetes mellitus, psychiatric comorbidity, neurological comorbidity, respiratory comorbidities, cancer, prevalence, chronic disease burden, comorbidity risk factors
MeSH terms
Asthma, Cardiovascular Diseases, Cerebrovascular Disorders, Endocrine System Diseases, Humans, Global Health, Comorbidity, Prevalence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review