Evidence map›Paper›PMID 40217831›Full record

ReviewJournal of clinical medicine2025

Off-Label Treatment in Inflammatory Skin Diseases-European Point of View.

Julia Sternicka, Roman J Nowicki, Leszek Bieniaszewski, Dorota Purzycka-Bohdan

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2025. 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

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

1 citing paper in PubMed.

  1. Review
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.

Julia SternickaDepartment of Dermatology, Venereology and Allergology, Medical University of Gdańsk, University Clinical Centre, 80-214 Gdańsk, Poland.
Roman J NowickiDepartment of Dermatology, Venereology and Allergology, Medical University of Gdańsk, University Clinical Centre, 80-214 Gdańsk, Poland.ORCID 0000-0003-4768-1387
Leszek BieniaszewskiClinical Physiology Unit, Medical Simulation Centre, Medical University of Gdańsk, 80-204 Gdańsk, Poland.
Dorota Purzycka-BohdanClinical Physiology Unit, Medical Simulation Centre, Medical University of Gdańsk, 80-204 Gdańsk, Poland.ORCID 0000-0002-6089-8030

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Off-label treatment is the use of a drug approved for marketing, outside the registration in terms of indication, age group, dose or route of administration. Despite the constant appearance of new preparations on the market, treatment outside the SmPCs guidelines is a current clinical problem. It is believed that it is based on the needs of patients unmet by classical therapy methods. This work focuses on off-label treatment in inflammatory dermatoses such as atopic dermatitis, psoriasis, acne vulgaris and rosacea. Publications on this subject, available on PubMed, Google Scholar and the Cochrane Library, were analyzed in the form of a review, taking into account the mechanisms of action, efficacy and safety of preparations. Based on the literature analysis, it can be concluded that the use of drugs outside the SmPC indications is a common situation in dermatology. However, it is difficult to determine its exact frequency-there is a lack of data on the prevalence of off-label appliances in inflammatory dermatoses from a European perspective. Publications demonstrate varying effectiveness and safety of this form of therapy, depending on the specific preparation. Off-label treatment in dermatology remains an important and current clinical issue that should be explored in further research.

Indexed as

acne vulgarisatopic dermatitisoff-labelpharmacotherapypsoriasisrosacea

Identifiers

PMID40217831
PMCPMC11989427

What OpenQuestion holds

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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.