Evidence map›Paper›PMID 34611471›Full record

ArticleThe World Allergy Organization journal2021

Variability of

Hongwen Li, Qing Zhang, Jingru Wang, Shengnan Gao, Chunxiao Li, Jianxin Wang, Shuhua Zhang, Jiangtao Lin

Abstract read
In one paragraph

Article in The World Allergy Organization journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
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  5. Review
  6. Correlation of FEThe clinical respiratory journal · 2025
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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

8 authors.

Hongwen LiPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Qing ZhangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Jingru WangPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Shengnan GaoDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Chunxiao LiPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.
Jianxin WangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Shuhua ZhangDepartment of Pulmonary and Critical Care Medicine, China-Japan Friendship Hospital, Beijing, China.
Jiangtao LinPeking University China-Japan Friendship School of Clinical Medicine, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently, biotherapy is mainly administered to treat patients with severe asthma with the

objectiveWe aimed to describe the individual distributions of different biomarkers at varying thresholds and their variation patterns in participants with severe asthma.

methodsWe retrospectively reviewed the data of participants who had completed 2 or more fraction of exhaled nitric oxide (FeNO) and peripheral blood eosinophil counts in our centre within 5 years. The individual distribution of biomarkers (blood or sputum eosinophils, FeNO, and serum total IgE) with repeated measurements at different thresholds was analysed. The varied patterns of biomarkers were analysed by cluster analysis.

resultsA total of 241 eligible participants were screened. Through long-term longitudinal multiple measurements, we found that approximately 50% of severe asthmatics had blood eosinophil levels fluctuating around the threshold defined by biological agents. FeNO persisted at levels >19.5 ppb or 25 ppb in more than half of patients; about 30% of participants crossed this threshold. In our centre, 47.4% of participants consistently exceeded sputum eosinophils >3%, and 47.4% of patients crossed this threshold. Approximately 66.7% of participants had more than 50% alterations of serum total IgE, and 98.1% of participants continued to have IgE levels greater than 30 IU/mL. We used cluster analysis to classify variability and levels of FeNO and blood eosinophils and identified 4 patient clusters. Cluster 1 can be summarised as T2 severe asthma with low blood eosinophil levels and stability. Cluster 2 can be summarised as asthma with continuous increase and small fluctuations in various T2 inflammatory markers. Cluster 3 can be summarised as a non/low-T2 inflammatory phenotype. Cluster 4 can be summarised as a stable, moderate T2 inflammatory phenotype.

conclusionWe identified the distributions and variable patterns of the T2 inflammatory markers currently used to guide asthma biotherapy in clinical practice. The longitudinal comprehensive multiple assessments of T2 inflammatory markers provide support for initiating biologic therapy patients with severe asthma whose biomarker levels vary.

Indexed as

Biologic therapyBiomarkerSevere asthmaType 2 inflammationVariability

Identifiers

PMID34611471
PMCPMC8463912

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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.