Evidence map›Paper›PMID 39104647›Full record

ArticleSkin health and disease2024

Annular elastolytic giant cell granuloma associated with autoimmune hepatitis: Response to ciclosporin.

Zaina Sharif, Shagayegh Javadzadeh, Jeanne Boissiere, Daniel Creamer

Abstract readCase Reports
In one paragraph

Article in Skin health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. 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.

Zaina SharifDepartment of Dermatology King's College Hospital NHS Foundation Trust London UK.
Shagayegh JavadzadehDepartment of Dermatology King's College Hospital NHS Foundation Trust London UK.
Jeanne BoissiereDepartment of Dermatology King's College Hospital NHS Foundation Trust London UK.
Daniel CreamerDepartment of Dermatology King's College Hospital NHS Foundation Trust London UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 47 year old Caucasian female with a background of type 2 diabetes mellitus, hypothyroidism, and autoimmune hepatitis presented with a painful, pruritic, papular eruption in a photosensitive distribution across the upper chest, neck, face, dorsal hands and forearms. On examination, lesions coalesced into annular plaques each with an active, raised margin and an atrophic, yellow centre. Histopathology demonstrated an absence of mucin and elastophagocytosis with giant cells engulfing dermal elastin fibres. These histopathological features favoured a diagnosis of annular elastolytic giant cell granuloma (AEGCG). The patient was managed ciclosporin monotherapy 125 mg twice daily (3 mg/kg/day). At 8 week review, there was a marked improvement in the physical appearance of the dermatosis as well as diminishing of symptoms such as itch and cutaneous pain. AEGCG is a rare inflammatory dermatosis typically affecting sun-exposed sites. It has been proposed that AEGCG is triggered by a solar induced elastolysis however other theories suggest it is a primary granulomatous disorder and not a photodermatosis. AEGCG appears to be aligned to an autoimmune diathesis, indicated by its frequent association with autoimmune conditions such as Hashimoto's thyroiditis, vitiligo, giant cell arteritis and, as in our patient, auto-immune hepatitis. Diabetes mellitus occurring concurrently with AEGCG has also been observed, again like our patient. Histopathological features which distinguish AEGCG from granuloma annulare include absent mucin, absent necrobiosis, giant cells with more nuclei, non-palisading granulomata and marked loss of elastic tissue. AEGCG is often unresponsive to standard therapies. The literature indicates varying responses to photo-protection, topical/systemic/intralesional corticosteroids, and oral medications such as methotrexate, hydroxychloroquine, and dapsone. Few case reports have also documented improvement with ciclosporin. In aggressive forms of AEGCG, as in our patient, treatment with ciclosporin may be an effective intervention and should be initiated early in the disease.

Identifiers

PMID39104647
PMCPMC11297440

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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.