Evidence map›Paper›PMID 32489364›Full record

ArticlePostepy dermatologii i alergologii2020

Comprehensive molecular and clinical analysis of adalimumab and etanercept therapeutic potential in patients with psoriatic arthritis.

Dominika Wcisło-Dziadecka, Beniamin Grabarek, Andrzej S Swinarew, Beata Rozwadowska, Nikola Zmarzły, Joanna Gola

Open access · goldAbstract read
In one paragraph

Article in Postepy dermatologii i alergologii, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

6 authors at 2 institutions in 1 country.

Dominika Wcisło-DziadeckaDepartment of Cosmetology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Poland.
Beniamin GrabarekDepartment of Histology, Cytophysiology and Embryology, Faculty of Medicine in Zabrze, University of Technology in Katowice, Poland.
Andrzej S SwinarewInstitute of Materials Science, Faculty of Computer Science and Material Science, University of Silesia, Katowice, Poland.
Beata RozwadowskaDepartment of Cosmetology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Poland.
Nikola ZmarzłyDepartment of Histology, Cytophysiology and Embryology, Faculty of Medicine in Zabrze, University of Technology in Katowice, Poland.
Joanna GolaDepartment of Molecular Biology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia in Katowice, Poland.
Medical University of Silesia · PLUniversity of Silesia in Katowice · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdalimumab and etanercept are drugs used in anti-TNF therapy in patients with psoriasis and psoriatic arthritis. Despite the molecular targeting of these drugs, the loss of pharmacological response to treatment is observed in patients. The development of personalized medicine makes it possible to use not only clinical parameters of disease severity, but also molecular marker systems.

aimThe aim of the study was to evaluate the changes in MATERIAL AND

methodsThe study group consisted of 3 patients initially treated with adalimumab, followed by etanercept. The control group included 20 healthy volunteers. The expression profile of

resultsDepending on the drug, different expression profiles of the studied cytokines are observed.

conclusionsThe obtained data indicate that

Indexed as

anti-TNF therapymolecular markerpersonalized medicinepsoriasisresistance in therapy

Identifiers

PMID32489364
PMCPMC7262816
OpenAlexW3027223810

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.