ArticleRheumatology international2015
Red blood cell distribution width as a useful indicator to predict systemic vasculitis in patients with cutaneous vasculitis.
Article in Rheumatology international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 10 citations in OpenAlex.
- Clinical Signs of Kawasaki Disease from the Perspective of Epithelial-to-Mesenchymal Transition Recruiting Erythrocytes: A Literature Review.Reviews in cardiovascular medicine · 2023Review
- Evaluation of MCV/RDW Ratio and Correlations With Ferritin in Telogen Effluvium Patients.Dermatology practical & conceptual · 2022Article
- Assessment of the association between red blood cell distribution width and disease activity in patients with systemic vasculitis.Experimental and therapeutic medicine · 2021Article
- Red Cell Distribution Width and Mean Platelet Volume in Patients With Pityriasis Rosea.Journal of clinical medicine research · 2016Article
- Biochemical view: "red blood cell distribution width as a useful indicator to predict systemic vasculitis in patients with cutaneous vasculitis".Rheumatology international · 2015Article
Corrections and comments
- Commented on by
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cutaneous vasculitis can be limited to skin or a manifestation of primary systemic vasculitis. However, there are no definite markers to predict systemic involvements. Recent studies have shown that a higher red blood cell distribution width (RDW) is associated with disease activity in various disorders. We evaluated whether RDW can be used as an indicator for predicting systemic disease in patients with initial cutaneous involvements. We reviewed clinical and laboratory information of 143 patients with cutaneous vasculitis and 15 pigmented purpuric dermatosis patients seen at single academic hospital in Korea. Various parameters, including RDW, were evaluated in patients with primary cutaneous vasculitis and primary systemic vasculitis with initial cutaneous manifestations. The RDW value between cutaneous and systemic vasculitis patients was compared and RDW level was also investigated whether it can indicate systemic vasculitis in patients with cutaneous involvements. The mean age was 32.0 years, and 102 (64.6 %) patients were female. A total of 132 patients were patients with primary cutaneous vasculitis, and 11 were primary systemic vasculitis. Higher ratio of patients with high RDW was detected in systemic vasculitis group compared with cutaneous vasculitis group (36.4 vs. 7.6 %, P < 0.05). The mean RDW was significantly higher in systemic vasculitis patients (P < 0.05). RDW had the strongest association with systemic vasculitis (P < 0.05, OR 1.834). In conclusion, elevated level of RDW was significantly associated with systemic vasculitis. RDW can be used as one of the marker to predict systemic disease in patients with cutaneous vasculitis.
Indexed as
Identifiers
What 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.