Evidence map›Paper›PMID 36679934›Full record

ReviewVaccines2022

Comorbid Asthma Increased the Risk for COVID-19 Mortality in Asia: A Meta-Analysis.

Liqin Shi, Jiahao Ren, Yujia Wang, Huifen Feng, Fang Liu, Haiyan Yang

Open access · goldAbstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

6 authors at 3 institutions in 1 country.

Liqin ShiDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Jiahao RenDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Yujia WangSchool of Nursing, Hebi Polytechnic, Hebi 458030, China.
Huifen FengDepartment of Infectious Diseases, The Fifth Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Fang LiuDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.
Haiyan YangDepartment of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.ORCID 0000-0002-1797-304X
Zhengzhou University · CNFifth Affiliated Hospital of Zhengzhou University · CNNingbo Polytechnic · CN

Funding

Henan Young and Middle-aged Health Science and Technology Innovation Talent Project YXKC2021021
6 · The paper itself

Abstract

We aimed to explore the influence of comorbid asthma on the risk for mortality among patients with coronavirus disease 2019 (COVID-19) in Asia by using a meta-analysis. Electronic databases were systematically searched for eligible studies. The pooled odds ratio (OR) with 95% confidence interval (CI) was estimated by using a random-effect model. An inconsistency index (I2) was utilized to assess the statistical heterogeneity. A total of 103 eligible studies with 198,078 COVID-19 patients were enrolled in the meta-analysis; our results demonstrated that comorbid asthma was significantly related to an increased risk for COVID-19 mortality in Asia (pooled OR = 1.42, 95% CI: 1.20−1.68; I2 = 70%, p < 0.01). Subgroup analyses by the proportion of males, setting, and sample sizes generated consistent findings. Meta-regression indicated that male proportion might be the possible sources of heterogeneity. A sensitivity analysis exhibited the reliability and stability of the overall results. Both Begg’s analysis (p = 0.835) and Egger’s analysis (p = 0.847) revealed that publication bias might not exist. In conclusion, COVID-19 patients with comorbid asthma might bear a higher risk for mortality in Asia, at least among non-elderly individuals.

Indexed as

Asiaasthmacoronavirus disease 2019meta-analysismortality

Identifiers

PMID36679934
PMCPMC9862735
OpenAlexW4313471146

What Socratic 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 Socratic graph.