Evidence map›Paper›PMID 27471702›Full record

ReviewImmunoTargets and therapy2014

Clinical potential of apremilast in the treatment of psoriatic arthritis.

Alberto Cauli, Giovanni Porru, Matteo Piga, Alessandra Vacca, Grazia Dessole, Alessandro Mathieu

Open access · goldAbstract readReview
In one paragraph

Review in ImmunoTargets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
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 1 institution in 1 country.

Alberto CauliRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
Giovanni PorruRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
Matteo PigaRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
Alessandra VaccaRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
Grazia DessoleRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
Alessandro MathieuRheumatology Unit, Department of Medical Sciences, Policlinico of University of Cagliari, Monserrato, Italy.
University of Cagliari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psoriatic arthritis (PsA) is a frequent chronic inflammatory disease characterized by joint and skin involvement, and by typical extra-articular manifestations. Although the pathogenesis of PsA is still under investigation, the available evidence suggests the importance of the patient's genetic background, microbial or environmental triggers, and an imbalance in the adaptive and acquired immune system, resulting in the production of inflammatory mediators. New therapeutic approaches have been proposed, among them the use of modulators of intracellular signals and gene transcription such as PDE4-inhibiting compounds, which are able to modulate the activity of transcription factors such as CREB and NF-κB and therefore the synthesis of inflammatory mediators, resulting in immunoregulation. This paper summarizes the mechanism of action of apremilast, a PDE4 inhibitor, and the clinical data available on its clinical efficacy and safety profile in the treatment of PsA patients.

Indexed as

apremilastpsoriatic arthritistherapy

Identifiers

PMID27471702
PMCPMC4918237
OpenAlexW2095004733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.