Evidence map›Paper›PMID 29970124›Full record

ArticleJournal of orthopaedic surgery and research2018

The application value of MRI in the diagnosis of subclinical inflammation in patients with rheumatoid arthritis in remission.

Huimei Zhang, Huajun Xu, Shifang Chen, Xinfeng Mao

Abstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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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

4 authors.

Huimei ZhangDepartment of Radiology, Huzhou Central Hospital, Huzhou, 313000, Zhejiang, People's Republic of China.
Huajun XuDepartment of Ultrasound, Huzhou Central Hospital, No. 198 Hongqi Road of Wuxing District, Huzhou, 313000, Zhejiang, People's Republic of China. huajunxudr@163.com.
Shifang ChenDepartment of Rheumatology and Immunology, Huzhou Central Hospital, Huzhou, 313000, Zhejiang, People's Republic of China.
Xinfeng MaoDepartment of Radiology, Huzhou Central Hospital, Huzhou, 313000, Zhejiang, People's Republic of China.

Funding

Public Welfare Application Research Project of the Science and Technology Bureaun in Huzhou, Zhejiang, China 2017GYB25
6 · The paper itself

Abstract

backgroundTo explore the value of MRI in the diagnosis of subclinical inflammation in patients with early rheumatoid arthritis (RA) in remission and to predict the radiographic progression.

methodsA total of 76 of 156 patients with early RA in remission at 1 year and with available magnetic resonance imaging (MRI) data at baseline and at 12 months were included. Complete clinical and laboratory evaluations were conducted for the patients. MRI images were assessed according to the Rheumatoid Arthritis Magnetic Resonance Imaging Scoring (RAMRIS) system. Progression of bone erosions was defined as an increase of 1 or more units in annual RAMRIS score for erosions compared to baseline.

resultsAt 1 year, the majority of patients with RA in sustained remission showed some inflammatory activity on MRI (43.4% synovitis, 39.5% bone marrow edema (BME), and 9.2% tenosynovitis), and 25 of the 76 patients (32.9%) showed MRI progression of bone erosions. A significant difference was observed in MRI BME and bone erosion at 1 year, with higher mean score in patients with progression compared to non-progression of erosions (BME, 4.8 ± 3.6 vs 3.1 ± 2.1, P = 0.01; bone erosion, 13.5 ± 9.6 vs 4.4 ± 3.6, P < 0.001).

conclusionPersistent subclinical inflammations were shown in patients with sustained remission; BME in MRI may be a strong predictor of future radiographic progression of bone erosions in patients with persistent clinical remission.

Indexed as

Magnetic Resonance ImagingAdultAntirheumatic AgentsArthritis, RheumatoidDisease ProgressionFemaleHumansInflammationMaleMiddle AgedPredictive Value of TestsPrognosisRemission InductionRetrospective StudiesWrist JointAntirheumatic AgentsBone marrow edemaEarly rheumatoid arthritisMRIRemission

Identifiers

PMID29970124
PMCPMC6029344

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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.