Evidence map›Paper›PMID 41521846›Full record

ArticleJournal of cosmetic dermatology2026

Energy-Based Devices for the Treatment of Cutaneous Lesions in Patients With Lupus Erythematosus and Dermatomyositis.

Hae Chang Joh, Mihn-Sook Jue, Joo Yeon Ko

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2026. 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. 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

3 authors.

Hae Chang JohDepartment of Dermatology, College of Medicine, University of Hanyang, Seoul, Korea.ORCID https://orcid.org/0000-0002-4111-7526
Mihn-Sook JueDepartment of Dermatology, College of Medicine, University of Hanyang, Seoul, Korea.
Joo Yeon KoDepartment of Dermatology, College of Medicine, University of Hanyang, Seoul, Korea.ORCID https://orcid.org/0000-0003-4240-9675

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of energy-based devices (EBDs) for aesthetic and dermatological conditions is increasing, but data on efficacy and safety in autoimmune connective tissue disease (CTD) patients remain limited.

objectivesThis study assesses EBD real-world treatment outcomes in Korean patients with lupus erythematosus (LE) and dermatomyositis (DM).

methodsA retrospective, uncontrolled study was conducted on 26 CTD patients (LE: 20, DM: 6) treated at Hanyang University Seoul Hospital (2015-2023). Various laser modalities, including pulsed-dye laser (PDL), intense pulsed light (IPL), long-pulse Nd:YAG (LPNY), Q-switched Nd:YAG (QSNY), and ablative fractional laser (AFL), were analyzed. Two independent dermatologists evaluated treatment outcomes using a 5-point modified Investigator's Global Assessment (IGA) scale.

resultsPatients showed significant improvement in erythema, dyspigmentation, and overall skin morphology. Some LE patients also exhibited enhanced follicular activity. Treatments were well-tolerated, with only transient side effects reported, and no long-term complications or disease reactivation occurred.

conclusionsEBD treatments may provide cosmetic improvement in selected LE and DM patients and are generally safe. Larger controlled studies are needed to confirm efficacy and establish optimal protocols.

Indexed as

DermatomyositisLasers, DyeLasers, Solid-StateLow-Level Light TherapyLupus Erythematosus, CutaneousAdolescentAdultChildFemaleHumansLongitudinal StudiesMaleMiddle AgedRepublic of KoreaRetrospective StudiesSkindermatomyositisenergy‐based deviceslupus erythematosus

Identifiers

PMID41521846
PMCPMC12793946

What OpenQuestion holds

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Registered trials

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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.