Evidence map›Paper›PMID 42131321›Full record

ArticleFrontiers in immunology2026

Improvement in nasal signs and eosinophils following 3 years of sublingual immunotherapy for allergic rhinitis.

Beina Liu, Sunhong Hu, Mang Xiao

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Beina LiuDepartment of Otolaryngology-Head and Neck Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, China.
Sunhong HuDepartment of Otolaryngology-Head and Neck Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, China.
Mang XiaoDepartment of Otolaryngology-Head and Neck Surgery, Sir Run Run Shaw Hospital, Medical College of Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While sublingual immunotherapy (SLIT) is effective for allergic rhinitis (AR), most studies focus on subjective symptom relief, with limited data on objective signs and biomarkers. This study evaluates the effects of 3-year house dust mite (HDM) SLIT on nasal mucosal signs and peripheral blood eosinophil (EOS) counts in AR patients. Methods: This study retrospectively analyzed the data of 86 AR patients (aged 14-57) who had received 3 years of SLIT treatment. Subjective scores including the total nasal symptom score (TNSS), total medication score (TMS), combined symptom and medication score (CSMS), and visual analog scale (VAS) were assessed at baseline, 1.5 years, and 3 years. Objective assessment of nasal mucosal pathology was performed via nasal endoscopy and quantified using the modified Lund-Kennedy (MLK) scoring system. Additionally, EOS counts and the level of serum total IgE were also measured. Results: At 1.5 and 3 years, significant reductions were observed in TNSS, TMS, CSMS, VAS, and MLK scores compared to baseline and between these timepoints (all Conclusion: Three years of SLIT treatment effectively improved symptoms of HDM-induced allergic rhinitis, significantly reduced signs of nasal mucosal inflammation, and decreased peripheral blood eosinophil counts.

Indexed as

EosinophilsNasal MucosaRhinitis, AllergicSublingual ImmunotherapyAdolescentAdultAnimalsAntigens, DermatophagoidesDust Mite AllergyFemaleHumansImmunoglobulin ELeukocyte CountMaleMiddle AgedRetrospective StudiesAntigens, DermatophagoidesImmunoglobulin Eallergic rhinitisefficacyendoscopyeosinophilsublingual immunotherapy

Identifiers

PMID42131321
PMCPMC13160792

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Registered trials

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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.