Evidence map›Paper›PMID 29520268›Full record

ReviewFrontiers in immunology2018

Targeting IgE Antibodies by Immunoadsorption in Atopic Dermatitis.

Michael Kasperkiewicz, Enno Schmidt, Ralf J Ludwig, Detlef Zillikens

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% of its field
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, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Enhanced Dermal Delivery of Nanoparticulate Formulation ofInternational journal of nanomedicine · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Skin Commensal FungusJournal of microbiology and biotechnology · 2021
    Review
  15. Article
  16. Article
  17. Article
  18. [Immunoadsorption in dermatology].Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete · 2019
    Review
  19. Review
  20. Article
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 at 1 institution in 1 country.

Michael KasperkiewiczDepartment of Dermatology, University of Lübeck, Lübeck, Germany.
Enno SchmidtDepartment of Dermatology, University of Lübeck, Lübeck, Germany.
Ralf J LudwigDepartment of Dermatology, University of Lübeck, Lübeck, Germany.
Detlef ZillikensDepartment of Dermatology, University of Lübeck, Lübeck, Germany.
University of Lübeck · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One major hallmark of atopic dermatitis (AD) is the elevated level of total serum IgE, which has been reported to be partly of the autoreactive type in a subset of patients. Immunoadsorption (IA) has been successfully applied in various classical autoantibody-mediated diseases such as pemphigus. Recent reports proposed the use of IA also for patients with severe AD and high total serum IgE levels. In this mini-review, we summarize the current knowledge about this novel treatment approach for AD and briefly discuss the so far incompletely known role of autoreactive IgE as potential target of IA therapy in this common inflammatory skin disorder.

Indexed as

Immunosorbent TechniquesAnimalsAutoantibodiesDermatitis, AtopicHumansImmunoglobulin EImmunotherapyInflammationSkinAutoantibodiesImmunoglobulin Eatopic dermatitisautoantibodyIgEimmunoadsorptioninflammation

Identifiers

PMID29520268
PMCPMC5827554
OpenAlexW2794027569

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.