Evidence map›Paper›PMID 32399574›Full record

ArticleActa dermato-venereologica2020

Successful Treatment of Iatrogenic Cutaneous Siderosis with Pigment Lasers: A Retrospective Study in 15 Consecutive Patients.

Kristine Heidemeyer, Laurence Feldmeyer, Irene Raeber, Nathalie Dietrich, Simone Cazzaniga, Nikhil Yawalkar, S Morteza Seyed Jafari, Luca Borradori, Maurice Adatto

Open access · goldAbstract read
In one paragraph

Article in Acta dermato-venereologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

9 authors at 1 institution in 2 countries.

Kristine HeidemeyerDepartment of Dermatology, University Hospital, Inselspital, CH-3010 Bern, Switzerland. E-mail: kristine.heidemeyer@insel.ch.
Laurence Feldmeyer
Irene Raeber
Nathalie Dietrich
Simone Cazzaniga
Nikhil Yawalkar
S Morteza Seyed Jafari
Luca Borradori
Maurice Adatto
University of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intravenous ferric carboxymaltose is increasingly used to treat iron deficiency. However, a common side-effect is paravenous extravasation of iron preparations, resulting in cutaneous siderosis. Quality-switched (QS) lasers and, recently, picosecond (PS) lasers have been used to treat these hyperpigmentations with variable success. The optimal treatment protocol remains unclear. The aims of this study were to assess the response of cutaneous siderosis to treatment with pigment lasers and to determine the optimal wavelength, number of treatment sessions and pulse duration. Fifteen patients with cutaneous siderosis on the arms were included. The effectiveness of laser treatment was evaluated using a 5-point standard Physician Global Assessment (PGA) grading system. Differences in continuous variables between distinct groups of patients were assessed with a Mann-Whitney U test. In all 15 patients clearance of at least 50% was obtained. In 12 patients, at least 75% of pigment was removed. In conclusion, pigment lasers are an effective and safe method to treat cutaneous siderosis.

Indexed as

Iatrogenic DiseaseAdministration, IntravenousAdolescentAdultAgedExtravasation of Diagnostic and Therapeutic MaterialsFemaleFerric CompoundsHematinicsHumansLasers, Solid-StateLow-Level Light TherapyMaltoseMiddle AgedRetrospective StudiesSiderosisferric carboxymaltoseFerric CompoundsHematinicsMaltoseironlasersiderosis

Identifiers

PMID32399574
PMCPMC9137371
OpenAlexW3026997065

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.