Evidence map›Paper›PMID 41809541›Full record

ArticleJournal of asthma and allergy2026

Comparative Evaluation of Four Multiple Allergen Simultaneous Test (MAST) Systems in Clinical Practice.

Sojin Lee, Junhyup Song, Kyung-A Lee, Younhee Park

Abstract read
In one paragraph

Article in Journal of asthma and allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Sojin LeeDepartment of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0002-6190-1131
Junhyup SongDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-6359-1942
Kyung-A LeeDepartment of Laboratory Medicine, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-5320-6705
Younhee ParkDepartment of Laboratory Medicine, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.ORCID 0000-0001-8458-1495

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Multiple allergen simultaneous tests (MASTs) are widely used for screening allergen-specific immunoglobulin E owing to their convenience and cost-effectiveness. Recently, several automated MAST analyzers with expanded allergen panels have become available in Korea; however, comparative evaluations remain limited. Patients and Methods: In this retrospective study, 200 residual serum samples from patients tested for suspected allergic diseases at a single tertiary hospital were analyzed. Each sample was tested using AdvanSure Alloscreen, AdvanSure Alloscreen Max108, SGTi-Allergy Screen, and PROTIA Allergy-Q. Semi-quantitative results (classes 0-6) were interpreted as positive at class ≥2. Concordance rates and Cohen's kappa coefficients were calculated. Results: Overall agreement between the MAST systems was high (91-93%), with Cohen's kappa values indicating substantial to almost perfect agreement (κ = 0.67-0.76). The agreement between AdvanSure Alloscreen and its upgraded version, AdvanSure AlloScreen Max108, was the highest. For common allergens in the Korean population, Conclusion: All four MAST systems demonstrated substantial to near-perfect qualitative agreement. The SGTi-Allergy Screen showed the best concordance with ImmunoCAP, whereas AdvanSure Alloscreen Max108 offered a balanced performance with broader allergen coverage. These findings indicate that laboratories should select a MAST system based on local needs, weighing analytical accuracy, allergen panel breadth, and overall testing efficiency.

Indexed as

allergensallergen-specific IgEautomated analyzerhypersensitivityimmunoassayimmunoglobulin EMASTmultiple allergen simultaneous test

Identifiers

PMID41809541
PMCPMC12970036

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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.