Evidence map›Paper›PMID 30858782›Full record

ArticlePostepy dermatologii i alergologii2019

Level of inflammatory cytokines tumour necrosis factor α, interleukins 12, 23 and 17 in patients with psoriasis in the context of metabolic syndrome.

Magdalena Pirowska, Katarzyna Podolec, Sylwia Lipko-Godlewska, Joanna Sułowicz, Paweł Brzewski, Aleksander Obtułowicz, Maciej Pastuszczak, Anna Wojas-Pelc

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In one paragraph

Article in Postepy dermatologii i alergologii, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Magdalena PirowskaDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Katarzyna PodolecDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Sylwia Lipko-GodlewskaDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Joanna SułowiczDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Paweł BrzewskiDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Aleksander ObtułowiczDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Maciej PastuszczakDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.
Anna Wojas-PelcDepartment of Dermatology, Jagiellonian University Medical College, Krakow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPsoriasis is a chronic inflammatory skin disease with immunologic etiology.

aimTo investigate the levels of the proinflammatory cytokines tumor necrosis factor α (TNF-α), interleukin 23 (IL-23) and IL-17 in patients with psoriasis and psoriatic arthritis with concomitant metabolic syndrome. MATERIAL AND

methodsThis study included 60 patients with severe psoriasis.

resultsIn patients with arterial hypertension concomitant with psoriasis, no statistically significant differences in cytokine levels were observed. On the other hand, in the group of patients diagnosed with diabetes, an increased level of IL-17 was observed. In patients with lipid disorders, the results were similar to the results of patients with diabetes.

conclusionsIt is very important to study immunologic mechanisms responsible for the presence and severity of psoriasis, in order to personalize the therapy in the future and optimize the effect of action on the basic disease and on concomitant disorders.

Indexed as

cytokinesmetabolic syndromepsoriasis

Identifiers

PMID30858782
PMCPMC6409868

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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.