ReviewCurrent rheumatology reports2017
Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome and the Rheumatologist.
Review in Current rheumatology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed.
- Article
- Case report: Drug reaction with eosinophilia and systemic symptoms (DRESS) induced by ceftazidime in a connective tissue disease (CTD) patient.Frontiers in pharmacology · 2024Article
- Literature review of the clinical features of sulfasalazine-induced drug reaction with eosinophilia and systemic symptoms/drug-induced hypersensitivity syndrome (DRESS/DIHS).Frontiers in pharmacology · 2024Article
- Road Less Traveled: Drug Hypersensitivity to Fluoroquinolones, Vancomycin, Tetracyclines, and Macrolides.Clinical reviews in allergy & immunology · 2022Review
- Sulfasalazine-induced drug reaction with eosinophilia and systemic symptoms (DRESS) with concomitant acute chikungunya virus infection: possible role of new viral trigger.BMJ case reports · 2021Article
- Management of gout in chronic kidney disease: a G-CAN Consensus Statement on the research priorities.Nature reviews. Rheumatology · 2021Review
- The significance of the hemalexin C1q, RBP, and urinary NAG levels in the diagnosis and prognosis of children with purpura nephritis.American journal of translational research · 2021Article
- DRESS syndrome in response to Denosumab: First documented case report.Bone reports · 2020Article
- A Case Report of Fulminant Type 1 Diabetes Mellitus Caused by Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Complicated by Iodine-Induced Thyrotoxicosis.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019Article
- [DRESS Syndrome in a Patient With SARS-CoV-2 Disease].Open respiratory archivesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purpose of the reviewThe purpose of the review is to summarise the various drugs used in rheumatology practice implicated in the causation of DRESS syndrome. RECENT
findingsThe most commonly reported drugs are allopurinol, sulfasalazine and minocycline, which pose a very high risk for DRESS syndrome development, followed by strontium ranelate and dapsone. Other, less commonly reported, drugs include leflunomide, hydroxychloroquine, non-steroidal anti-inflammatory drugs, febuxostat, bosentan and solcitinib. Reaction to some drugs is strongly associated with certain HLA alleles, which may be used to screen patients at risk of serious toxicity. DRESS syndrome is a serious reaction to many drugs used in rheumatic diseases, with a potentially fatal outcome and needs to be considered in any patient started on these medications who presents with a rash, fever and eosinophilia, sometimes with internal organ involvement.
Indexed as
Identifiers
28138822What OpenQuestion holds
Registered trials
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.