Evidence map›Paper›PMID 37102668›Full record

SynthesisImmunity, inflammation and disease2023

Elevated levels of interleukin-33 are associated with asthma: A meta-analysis.

Ranran Zhao, Yun Shi, Na Liu, Bin Li

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Immunity, inflammation and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. 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

4 authors at 2 institutions in 1 country.

Ranran ZhaoDepartment of Respiratory Medicine, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China.
Yun ShiMedical and Health Center, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China.ORCID 0000-0002-7238-5275
Na LiuDepartment of Respiratory Medicine, Beijing Hepingli hospital, Beijing, China.
Bin LiDepartment of Respiratory Medicine, Capital Medical University Affiliated Beijing Friendship Hospital, Beijing, China.
Capital Medical University · CNBeijing Anding Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies reported that patients with asthma showed higher levels of interleukin (IL)-33 in peripheral blood, compared to healthy control (HCs). However, we also noticed that there were no significant differences of IL-33 levels between controls and asthma patients in a recent study. We aim to conduct this meta-analysis and evaluate the feasibility of IL-33 in peripheral blood that may act as a promising biomarker in asthma.

methodsArticles published before December 2022 were searched in these databases (PubMed, Web of Science, EMBASE, and Google Scholar). We used STATA 12.0 software to compute the results.

resultsThe study showed that asthmatics showed higher IL-33 level in serum and plasma, compared to HCs (serum: standard mean difference [SMD] 2.06, 95% confidence interval [CI] 1.12-3.00, I

conclusionsIn conclusion, the main findings of present meta-analysis suggested that there was a significant correlation between IL-33 levels and the severity of asthma. Therefore, IL-33 levels of either serum or plasma may be regarded as a useful biomarker of asthma or the degree of disease.

Indexed as

AsthmaInterleukin-33AdultBiomarkersCase-Control StudiesChildHumansBiomarkersInterleukin-33asthmainterleukin-33meta-analysisserumsystematic review

Identifiers

PMID37102668
PMCPMC10116908
OpenAlexW4366579926

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.