Evidence map›Paper›PMID 39634515›Full record

ArticleThe World Allergy Organization journal2024

Predicting allergen immunotherapy efficacy based on early maintenance phase response in routine clinical practice.

Rundong Qin, Wanyi Fu, Renbin Huang, Mo Xian, Yubiao Guo, Li He, Xu Shi, Jing Li

Abstract read
In one paragraph

Article in The World Allergy Organization journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Update on HDM Allergy: Principal Changes over the Years.International journal of molecular sciences · 2025
    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

8 authors.

Rundong QinState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Wanyi FuState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Renbin HuangState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Mo XianState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Yubiao GuoState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Li HeState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Xu ShiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.
Jing LiState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Department of Allergy and Clinical Immunology, The First Affiliated Hospital of Guangzhou Medical University, 151, Yanjiangxi Rd, Guangzhou, Guangdong, 510120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While allergen-specific immunotherapy (AIT) is acknowledged as an effective treatment, its efficacy varies, and consensus on predictive indicators for AIT responders remains elusive. Objective: This study aimed to identify alternative parameters for predicting AIT responders based on clinical data collected in daily practice. Method: We conducted a retrospective analysis of patients with house-dust-mite-driven asthma and/or rhinitis who completed 3 years of subcutaneous AIT (3y-AIT). We assessed the efficacy of AIT using the estimated daily symptom and medication score (edSMS) during different treatment periods, including up-dosing, maintenance I, II, and III phases. These scores were derived from detailed records of symptoms and medication use for AIT injections. A responder was defined as an individual with a reduction in edSMS of at least 30% from up-dosing to maintenance III phase (ΔedSMS Results: A cohort of 133 patients was analyzed, revealing a significant overall improvement in the disease condition after 3y-AIT. Responders demonstrated lower rates of polysensitization, daily tobacco smoke exposure, and milder pretreatment disease severity compared to non-responders (p = 0.003, p = 0.001, and p = 0.019, respectively). We observed 8 clinical response patterns among included subjects, but only a small group of patients (16/133, 12.03%) demonstrated consistent improvement throughout the 3y-AIT. Serum total immunoglobulin E (tIgE), specific immunoglobulin E (sIgE), sIgE/tIgE ratios, and edSMS during the up-dosing phase failed to differentiate the clinical response patterns or correlate with 3y-AIT efficacy. Notably, the reduction in edSMS from up-dosing phase to maintenance I phase (ΔedSMS Conclusion: The individualized clinical responses to AIT may pose challenges in identifying predictors for treatment efficacy. Nonetheless, despite this complexity, our study highlights that the effectiveness observed in the early maintenance phase serves as a suitable predictor of 3y-AIT outcomes.

Indexed as

Allergen immunotherapyAsthmaHouse dust miteResponders

Identifiers

PMID39634515
PMCPMC11613417

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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.