Evidence map›Paper›PMID 30425963›Full record

ReviewPsoriasis (Auckland, N.Z.)2018

Secukinumab in the treatment of psoriasis: patient selection and perspectives.

Eric J Yang, Kristen M Beck, Wilson Liao

Open access · goldAbstract readReview
In one paragraph

Review in Psoriasis (Auckland, N.Z.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  17. Article
  18. Article
  19. Secukinumab, Pituitary Enlargement and Panhypopituitarism: Are They Related?European journal of case reports in internal medicine · 2021
    Article
  20. 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

3 authors at 1 institution in 1 country.

Eric J YangDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA, ericjyang@outlook.com.
Kristen M BeckDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA, ericjyang@outlook.com.
Wilson LiaoDepartment of Dermatology, University of California San Francisco, San Francisco, CA, USA, ericjyang@outlook.com.
University of California, San Francisco · US

Funding

MHC and KIR Region Genomics in PsoriasisU01AI119125 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON · 2015 to 2019
$3.5M
Identification of Causal Variants in PsoriasisR01AR065174 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIAO, WILSON · 2013 to 2016
$1.8M
NIAID NIH HHS U01 AI119125NIAMS NIH HHS R01 AR065174
6 · The paper itself

Abstract

Secukinumab is a human monoclonal antibody targeting IL-17A that has been approved for three indications: moderate-to-severe plaque psoriasis, psoriatic arthritis, and ankylosing spondylitis. In Phase III clinical trials for each of these three indications, secukinumab has proven to be both highly efficacious and well-tolerated. However, several biologic medications are currently approved for the treatment of moderate-to-severe plaque psoriasis, and many demonstrate excellent efficacy and safety. Due to this wide selection, it is often unclear how to choose biologics for specific patients. Important considerations in biologic selection include clinical efficacy, safety, cost, convenience, onset of action, and management of comorbid disease. This article aims to outline the key considerations in patient selection for the treatment of plaque psoriasis with secukinumab.

Indexed as

biologicsIL-17AIL-17 inhibitorpatient selectionpsoriasissecukinumab

Identifiers

PMID30425963
PMCPMC6202001
OpenAlexW2896330347

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.