Evidence map›Paper›PMID 34797428›Full record

ArticleJournal of clinical immunology2022

The Immune Deficiency and Dysregulation Activity (IDDA2.1 'Kaleidoscope') Score and Other Clinical Measures in Inborn Errors of Immunity.

Markus G Seidel, Victoria K Tesch, Linlin Yang, Fabian Hauck, Anna Lena Horn, Maria Anna Smolle, Franz Quehenberger, Martin Benesch

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In one paragraph

Article in Journal of clinical immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Markus G SeidelDivision of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 38, A-8036, Graz, Austria. markus.seidel@medunigraz.at.ORCID 0000-0003-0981-8661
Victoria K TeschDivision of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 38, A-8036, Graz, Austria.
Linlin YangDepartment of Clinical Immunology, Royal Free London NHS Foundation Trust, London, NW3 2PF, UK.
Fabian HauckDivision of Pediatric Immunology and Rheumatology, Department of Pediatrics, Dr. Von Hauner Children's Hospital, University Hospital, Ludwig-Maximilians-Universität München, Munich, Germany.ORCID 0000-0001-9644-2003
Anna Lena HornResearch Unit for Pediatric Hematology and Immunology, Medical University of Graz, Graz, Austria.
Maria Anna SmolleDepartment of Orthopedics and Trauma, Medical University of Graz, Graz, Austria.ORCID 0000-0003-1021-0899
Franz QuehenbergerInstitute for Medical Informatics, Statistics, and Documentation, Medical University Graz, Graz, Austria.ORCID 0000-0003-0764-9497
Martin BeneschDivision of Pediatric Hematology-Oncology, Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Auenbruggerplatz 38, A-8036, Graz, Austria.

Funding

Bundesministerium für Bildung und Forschung 01GM1910CElse Kröner-Fresenius-Stiftung 2017_A110
6 · The paper itself

Abstract

Quantifying the phenotypic features of rare diseases such as inborn errors of immunity (IEI) helps clinicians make diagnoses, classify disorders, and objectify the disease severity at its first presentation as well as during therapy and follow-up. Furthermore, it may allow cross-sectional and cohort comparisons and support treatment decisions such as an evaluation for transplantation. On the basis of a literature review, we provide a descriptive comparison of ten selected scores and measures frequently used in IEI and divide these into three categories: (1) diagnostic tools (for Hyper-IgE syndrome, hemophagocytic lymphohistiocytosis, and Wiskott-Aldrich syndrome), (2) morbidity and disease activity measures (for common variable immune deficiency [CVID], profound combined immune deficiency, CTLA-4 haploinsufficiency, immune deficiency and dysregulation activity [IDDA], IPEX organ impairment, and the autoinflammatory disease activity index), and (3) treatment stratification scores (shown for hypogammaglobulinemia). The depth of preclinical and statistical validations varies among the presented tools, and disease-inherent and user-dependent factors complicate their broader application. To support a comparable, standardized evaluation for prospective monitoring of diseases with immune dysregulation, we propose the IDDA2.1 score (comprising 22 parameters on a 2-5-step scale) as a simple yet comprehensive and powerful tool. Originally developed for use in a retrospective study in LRBA deficiency, this new version may be applied to all IEI with immune dysregulation. Reviewing published aggregate cohort data from hundreds of patients, the IDDA kaleidoscope function is presented for 18 exemplary IEI as an instructive phenotype-pattern visualization tool, and an unsupervised, hierarchically clustered heatmap mathematically confirms similarities and differences in their phenotype expression profiles.

Indexed as

Common Variable ImmunodeficiencyImmunologic Deficiency SyndromesPrimary Immunodeficiency DiseasesAdaptor Proteins, Signal TransducingCross-Sectional StudiesHumansProspective StudiesRetrospective StudiesAdaptor Proteins, Signal TransducingLRBA protein, humanalgorithmheatmapInborn error of immunity (IEI)indexmeasureprimary immune regulatory disorder (PIRD)primary immunodeficiency (PID)scalescorespider chart

Identifiers

PMID34797428
PMCPMC9016022

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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.