Evidence map›Paper›PMID 34043013›Full record

SynthesisActa dermato-venereologica2021

Locoregional Treatments for Digital Ulcers in Systemic Sclerosis: A Systematic Review.

Ingrid Costedoat, Maeva Masson, Thomas Barnetche, Pierre Duffau, Estibaliz Lazaro, Christophe Richez, Julien Seneschal, Marie-Elise Truchetet

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Acta dermato-venereologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.4field-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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 2 countries.

Ingrid CostedoatDepartment of Dermatology and Paediatric Dermatology, National Reference Center for Rare Skin Diseases, Saint-André Hospital, FR-33000 Bordeaux, France.
Maeva Masson
Thomas Barnetche
Pierre Duffau
Estibaliz Lazaro
Christophe Richez
Julien Seneschal
Marie-Elise Truchetet
Immunology from Concept and Experiments to Translation · FRSkin Research Center · FRUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of digital ulcers in systemic sclerosis is difficult. While the 2017 European League Against Rheumatism (EULAR) guidelines clearly defined the use of systemic therapies for digital ulcers, little is known about the efficacy of locoregional treatments. The aim of this review is to systematically assess the spectrum of published locoregional therapies for digital ulcers. A total of 58 studies were included. Among the different locoregional treatment strategies described, injections of fat-derived cells and botulinum toxin showed promising results in the reduction of pain and the number of digital ulcers. By contrast, this review found that sympathectomy yielded disappointing results, with low rates of effectiveness and frequent recurrence. For other treatments, such as hyperbaric oxygen therapy, phototherapy (ultraviolet A), low-level light therapy, intermittent compression, Waon therapy, extracorporeal shockwave, vitamin E gel, and topical dimethyl sulphoxide, the conflicting results or limited published data reflected the low level of evidence. Larger randomized clinical trials are required to confirm the validity of promising techniques.

Indexed as

Scleroderma, SystemicSkin UlcerHumansPainUlcerbotulinum toxindigital ulcersfat-derived cellssystematic reviewsystemic sclerosis

Identifiers

PMID34043013
PMCPMC9380280
OpenAlexW3164857340

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.