Evidence map›Paper›PMID 42399206›Full record

ArticleClinical and translational allergy2026

A Real-World Cross-Sectional Study on Suspected Mast Cell Activation Syndrome: Multiple Heterogeneous Symptoms Identified.

Annika Gutsche, Thomas Buttgereit, Rüdiger Buchkremer, Jens Panse, Nina Kreddig, Olga Ptock, Stephanie Roll, Weronika Grabowska, Felix Aulenbacher, Martin Metz and 4 more

Abstract read
In one paragraph

Article in Clinical and translational 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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0cells of the map it votes in
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.

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

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

14 authors.

Annika GutscheCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.
Thomas ButtgereitCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0000-0002-9389-1767
Rüdiger BuchkremerInstitute of IT Management and Digitization Research (IFID), FOM University of Applied Sciences in Economics and Management Düsseldorf, Düsseldorf, Germany.
Jens PanseDepartment of Oncology, Hematology, Hemostaseology and Stem Cell Transplantation, University Hospital RWTH Aachen, Center for Integrated Oncology Aachen, Bonn Cologne, Duesseldorf (CIO ABCD), Aachen, Germany.ORCID https://orcid.org/0000-0001-6316-3112
Nina KreddigDepartment of Medical Psychology and Medical Sociology, Faculty of Medicine, Ruhr University Bochum, Bochum, Germany.ORCID https://orcid.org/0000-0002-6081-2858
Olga PtockInstitute of IT Management and Digitization Research (IFID), FOM University of Applied Sciences in Economics and Management Düsseldorf, Düsseldorf, Germany.
Stephanie RollInstitute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Weronika GrabowskaInstitute of Social Medicine, Epidemiology and Health Economics, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Felix AulenbacherCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0009-0000-2105-6060
Martin MetzCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0000-0002-4070-9976
Polina PyatilovaCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0000-0001-5520-2900
Pascale SalamehCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0000-0002-4780-0772
Manuel P PereiraCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0009-0008-0162-0742
Frank SiebenhaarCharité - University Medical Center Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Institute of Allergology, Berlin, Germany.ORCID https://orcid.org/0000-0003-4532-1644

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA variety of clinical signs and symptoms have been described in patients suspected of having mast cell activation syndrome (MCAS), however, symptom patterns and linked organ systems were not yet described.

methodsThis cross-sectional online survey included adults with physician-diagnosed self-assessed or suspected MCAS between June and September 2021. Symptoms were collected as free-text responses, and coded using the Medical Dictionary for Regulatory Activities (MedDRA). These data were then analyzed using an unsupervised machine learning approach to identify distinct participant clusters. Patient-reported outcome measures (PROMs), including the PHQ-2, GAD-7, and SF-36, were used to assess mental health symptoms and health-related quality of life.

resultsA total of 592 patients (mean age 45 years, 90% female) reported 400 symptoms in 58 categories. The hierarchical clustering algorithm failed to identify distinct patient clusters. We identified 256 (43%) patients with signs and symptoms aligning with the diagnostic criteria for MCAS including the most prevalent symptoms. Overall, patients infrequently reported mast cell-mediated skin symptoms, such as pruritus (13%), wheals (9%), flushing (7%), or angioedema (1%). We identified patients with comorbid signs of depression (39%), general anxiety (34%), and impaired quality of life (28%).

conclusionPatients with suspicion of MCAS exhibit highly heterogeneous symptoms, whereas almost 50% report symptoms corresponding to the first diagnostic criterion for MCAS. Because over a third of the patients were tested positive for other diseases, we recommend considering common and more treatable diagnoses when evaluating patients with suspected MCAS.

Indexed as

machine learningMCASsymptoms

Identifiers

PMID42399206
PMCPMC13331725

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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.