Evidence map›Paper›PMID 35845729›Full record

SynthesisContrast media & molecular imaging2022

Meta-Analysis of the Efficacy and Safety of Interleukin-23-Targeted Drugs in the Treatment of Moderate-to-Severe Psoriasis.

Teng Zhu, Lin Ma

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Contrast media & molecular imaging, 2022. 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
0.3field-weighted citation impact, top 46% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 2 countries.

Teng ZhuDepartment of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID 0000-0003-0194-2270
Lin MaDepartment of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.ORCID 0000-0001-7625-9842
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, our purpose was to systematically evaluate the efficacy and safety of interleukin-23 (IL-23)-targeted drugs in the treatment of moderate-to-severe psoriasis and provide an evidence-based reference for clinical treatment. A computer search of PubMed, EMBASE, Web of Science, Cochrane Library, Chinese Journal Full Text Database, Chinese Science and Technology Journal Database, and Wanfang Database was conducted from the establishment of the database to 2021-09-30. The efficacy of IL-23-targeted drugs (trial group) was compared with placebo (control group) in the treatment of psoriasis; i.e., PASI score improvement of 75% or more (PASI 75, PASI 90, and PASI 100) and the safety of randomized controlled trials (RCTs) were collected. Meta-analysis was performed using Rev Man 5.4.3 statistical software after data extraction for clinical studies that met the inclusion criteria. A total of 9 studies were included, all included studies were large multicenter, randomized, double-blind, placebo-controlled studies, and all used correct randomization methods and were of good quality. Meta-analysis showed that the improvement rates of PASI 75, PASI 90, and PASI 100 in the test group were superior to those in the control group (OR = 70.21 (42.25, 166.66),

Indexed as

Interleukin-23PsoriasisAntibodies, MonoclonalDouble-Blind MethodHumansMulticenter Studies as TopicRandomized Controlled Trials as TopicTreatment OutcomeAntibodies, MonoclonalInterleukin-23

Identifiers

PMID35845729
PMCPMC9256449
OpenAlexW4283702768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.