Evidence map›Paper›PMID 28507487›Full record

ArticlePostepy dermatologii i alergologii2017

Demographic characteristics, aetiology, and assessment of treatment options in leukocytoclastic vasculitis.

Alkim Unal Cakiter, Ozlem Su Kucuk, Dilek Biyik Ozkaya, Bugce Topukcu, Nahide Onsun

Open access · goldAbstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 17 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

5 authors at 2 institutions in 1 country.

Alkim Unal CakiterMedipol Mega University Hospital, Istanbul, Turkey.
Ozlem Su KucukDepartment of Dermatovenereology, Medical Faculty, Bezmialem Vakif University, Istanbul, Turkey.
Dilek Biyik OzkayaDepartment of Dermatovenereology, Medical Faculty, Bezmialem Vakif University, Istanbul, Turkey.
Bugce TopukcuDepartment of Dermatovenereology, Medical Faculty, Bezmialem Vakif University, Istanbul, Turkey.
Nahide OnsunDepartment of Dermatovenereology, Medical Faculty, Bezmialem Vakif University, Istanbul, Turkey.
Bezmiâlem Vakıf Üniversitesi · TRIstanbul Medipol University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVasculitides are a heterogeneous group of diseases characterized by inflammation of the blood vessel walls. Etiological factors include infections, drugs, connective tissue diseases, and malignancies.

aimTo examine the demographic characteristics, etiological factors, and treatment options in 75 patients with leukocytoclastic vasculitis. MATERIAL AND

methodsThe study included 75 patients diagnosed with leukocytoclastic vasculitis at our clinic. The patients' medical records were reviewed to determine their age, sex, presence of systemic symptoms, possible etiological factors, laboratory results, types of cutaneous lesions, locations of the lesions, treatment options, and disease course.

resultsThere were 43 women and 32 men. Cutaneous lesions affected only the lower limbs in 60 of the 75 patients (80%) and usually presented as palpable purpura (64%,

conclusionsThe most common form of vasculitis in our study was cutaneous leukocytoclastic vasculitis. In most of the patients it appeared to be idiopathic. Among drugs, antibiotics were the most common etiological factor. In 4 patients, the cutaneous leukocytoclastic vasculitis behaved like the paraneoplastic syndrome.

Indexed as

etiological factorsHenoch-Schönlein purpuraleukocytoclastic vasculitis

Identifiers

PMID28507487
PMCPMC5420600
OpenAlexW2606713014

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.