Evidence map›Paper›PMID 36129631›Full record

ReviewCurrent rheumatology reports2022

A Spotlight on Drug-Induced Vasculitis.

Kinanah Yaseen, Alana Nevares, Hiromichi Tamaki

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.2field-weighted citation impact, top 2% 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

22 citing papers in PubMed, 42 citations in OpenAlex.

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  15. Minocycline-induced vasculitis.Clinical rheumatology · 2024
    Article
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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

3 authors at 3 institutions in 2 countries.

Kinanah YaseenDepartment of Rheumatic and Immunologic Diseases Cleveland Clinic, 9500 Euclid Avenue/A50, Cleveland, OH, 44195, USA. Yaseenk@ccf.org.
Alana NevaresDivision of Rheumatology and Clinical Immunology and Robert Larner, MD, College of Medicine, University of Vermont Medical Center, Burlington, VT, USA.
Hiromichi TamakiImmuno-Rheumatology Center, St. Luke's International Hospital, Tokyo, Japan.
Cleveland Clinic · USSt. Luke's International Hospital · JPUniversity of Vermont Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewDrug-induced vasculitis (DIV) is a rare form of vasculitis related to the use of various drugs. DIV primarily affects small to medium size vessels, but it can potentially involve vessels of any size. Differentiating between primary systemic vasculitis and DIV can be challenging; however, it is crucial, so that the offending agent can be discontinued promptly. RECENT

findingsThe clinical phenotype of DIV is protean and depends on the size of the affected vessels. It ranges from arthralgias, to an isolated cutaneous rash, to severe single or multi-organ involvement. While withdrawal of the offending drug is the most important step in management, a significant number of patients require immunosuppressive therapy for varying periods of time. DIV can affect any vascular bed size, leading to protean vasculitic syndromes. Increased awareness among general practitioners, specialty, and subspecialty physicians is crucial for early recognition, and withdrawal of drug for better outcomes.

Indexed as

VasculitisAntibodies, Antineutrophil CytoplasmicHumansAntibodies, Antineutrophil CytoplasmicCocaineDrug-induced ANCA-associated vasculitisDrug-induced vasculitis (DIV)Granulocyte colony-stimulating factor (G-CSF)HydralazineImmune checkpoint inhibitors (ICIs)MinocyclinePropylthiouracilTumor necrosis factor-α (TNF-α)

Identifiers

PMID36129631
OpenAlexW4297874846

What OpenQuestion holds

Textmetadata
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.