Evidence map›Paper›PMID 37488739›Full record

ArticleClinical and translational allergy2023

Patterns of aeroallergen sensitization in asthma patients identified by latent class analysis: A cross-sectional study in China.

Jiale Zhang, Wenting Luo, Guoping Li, Huali Ren, Jie Su, Jianxin Sun, Ruifen Zhong, Siqin Wang, Zhen'an Li, Yan Zhao and 10 more

Abstract read
In one paragraph

Article in Clinical and translational allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Observational
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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

20 authors.

Jiale ZhangDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0002-1214-5659
Wenting LuoDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.ORCID https://orcid.org/0000-0001-9356-7126
Guoping LiLaboratory of Allergy and Precision Medicine, Department of Pulmonary and Critical Care Medicine, Chengdu Institute of Respiratory Health, Chengdu Third People's Hospital Branch of National Clinical Research Center for Respiratory Disease, Chengdu, China.
Huali RenDepartment of Allergy, State Grid Beijing Electric Power Hospital, Capital Medical University Electric Power Teaching Hospital, Beijing, China.
Jie SuThe Second People's Hospital of Foshan, Foshan, China.
Jianxin SunThe Second People's Hospital of Zhaoqing, Zhaoqing, China.
Ruifen ZhongDongguan Eighth People's Hospital, Dongguan, China.
Siqin WangHenan Provincial People's Hospital, Zhengzhou, China.
Zhen'an LiFoshan Maternal Child Health Hospital, Foshan, China.
Yan ZhaoDepartment of Allergy, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Huashou KeMaoming Maternal and Child Health Hospital, Maoming, China.
Ting ChenShengli Clinical Medical College of Fujian Medical University, Department of Otorhinolaryngology Head and Neck Surgery, Fujian Provincial Hospital, Fuzhou, China.
Chun XvJiangxi Medical College, Shangrao, China.
Zhenglin ChangDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Liting WuDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xianhui ZhengDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Miaoyuan XvDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Qingyuan YeDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Chuangli HaoDepartment of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
Baoqing SunDepartment of Clinical Laboratory, National Center for Respiratory Medicine, National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.

Funding

Foundation of the State Key Laboratory of Respiratory Disease Z-2022-09Guangdong Zhong Nanshan Medical Foundation 20220042Guangzhou Science and Technology Foundation 2023A03J0365Jiangsu Key Research and Development Program (Social Development) Project BE2021656Medical Scientific Research Foundation of Guangdong Province of China B2021375Suzhou "clinical medicine expert team" introduction project SZYJTD201806
6 · The paper itself

Abstract

backgroundThis cross-sectional study aimed to identify latent sensitization profiles of asthma patients in mainland China, unveiling the association between regional differences and sensitization patterns.

methods1056 asthma participants from 10 medical centers divided into eastern and western cohorts were clustered into four individual sensitization patterns, respectively, by using an unsupervised statistical modeling method, latent class analysis (LCA), based on the levels of 12 aeroallergens specific IgE reactivities. Moreover, differences in clinical characteristics and environmental exposures were compared in different sensitization patterns.

resultsFour distinct sensitization patterns in the two cohorts were defined as follows, respectively. Eastern cohort: Class 1: "High weed pollen and house dust mites (HDMs) sensitization" (8.87%), Class 2: "HDMs dominated sensitization" (38.38%), Class 3: "High HDMs and animal dander sensitization" (6.95%), Class 4: "Low/no aeroallergen sensitization" (45.80%). Western cohort: Class 1: "High weed pollen sensitization" (26.14%), Class 2: "High multi-pollen sensitization" (15.02%), Class 3: "HDMs-dominated sensitization" (10.33%), Class 4: "Low/no aeroallergen sensitization" (48.51%). Of note, the significant statistical difference in age, asthma control test score (ACT) and comorbidities were observed within or between different sensitization patterns. Exposure factors in different sensitization patterns were pointed out.

conclusionsAsthmatic patients with distinct sensitization patterns were clustered and identified through the LCA method, disclosing the relationship between sensitization profiles of multiple aeroallergens and geographical differences, providing novel insights and potential strategies for atopic disease monitoring, management and prevention in clinical practice.

Indexed as

airborne allergenasthmalatent class analysis (LCA)sensitization patternsIgE

Identifiers

PMID37488739
PMCPMC10314277

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