Evidence map›Paper›PMID 33382842›Full record

SynthesisPloS one2020

Impact of tumor necrosis factor α inhibitors on MRI inflammation in axial spondyloarthritis assessed by Spondyloarthritis Research Consortium Canada score: A meta-analysis.

Yupeng Huang, Yuehong Chen, Tao Liu, Sang Lin, Geng Yin, Qibing Xie

Registry-linked trialOpen access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06591481 (Retrospective Case-control Study for the Development of an Artificial Intelligence), which is not on this map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 10% 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.

NCT06591481 completednot on this mapstarted 2023, after this paper: background citation

Retrospective Case-control Study for the Development of an Artificial Intelligence (AI)-Based Tool of Lesion Detection Based on Magnetic Resonance Imaging (MRI) and Clinical Variables for Early Diagnosis of Axial Spondyloarthritis (axSpA)

TypeobservationalSponsorÁngel Alberich BayarriRan2023 to 2025Enrolled925ConditionsAxial Spondyloarthritis (AxSpA)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Review
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  7. Observational
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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

6 authors at 2 institutions in 1 country.

Yupeng HuangDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuehong ChenDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Tao LiuDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Sang LinDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Geng YinDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Qibing XieDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spondyloarthritis Research Consortium Canada (SPARCC) score is an effective magnetic resonance imaging (MRI) evaluation method for inflammation in axial spondyloarthritis. Previously published meta-analyses have shown tumor necrosis factor α inhibitors (TNFi) had great effectiveness on improving disease activity and function in axial spondyloarthritis. However, there still has no one that concentrates on the impact of TNFi on MRI inflammation. We conduct a meta-analysis to summarize the impact of TNFi on MRI inflammation in axial spondyloarthritis using SPARCC score. Comprehensive search was conducted in the databases of OVID Medline, OVID EMBASE, and Cochrane library on November 14, 2020. We investigated the differences in SPARCC score of sacroiliac joint and spine, before and after TNFi treatment in patients with axial spondyloarthritis. SPARCC score was further compared in the subgroup by diagnostic category and TNFi types. In addition, clinical assessment indicators including ankylosing spondylitis disease activity score, bath ankylosing spondylitis disease activity index, bath ankylosing spondylitis functional index, c-reactive protein were also analyzed. Data were pooled by mean differences (MD) with 95% confidence intervals (CI) and publication bias was assessed by Egger's test. Jadad scale was applied to assess the quality of included trials. Compared with control group, TNFi significantly improved SPARCC score of sacroiliac joints (n = 11, MD = 2.86, 95% CI 2.50, 3.23) and spine (n = 5, MD = 1.87,95%CI 1.27, 2.46). This effect was consistent among subgroups by different diagnostic category (ankylosing spondylitis, non-radiographic axial spondyloarthritis) and TNFi types (adalimumab, certolizumab pegol). Analysis of clinical assessment indicators also confirmed the therapeutic effect on axial spondyloarthritis. Egger's test suggested no possibility of publication bias. This meta-analysis shows that TNFi are effective to improve MRI inflammation in patients with axial spondyloarthritis and the treatment effectiveness is not affected by diagnostic category and TNFi types.

Indexed as

HumansInflammationMagnetic Resonance ImagingSacroiliac JointSpineSpondylarthritisTumor Necrosis Factor InhibitorsTumor Necrosis Factor Inhibitors

Identifiers

PMID33382842
PMCPMC7775088
OpenAlexW3113430526

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.