Evidence map›Paper›PMID 31555946›Full record

ArticleJournal of medical ultrasonics (2001)2020

Prediction of recurrence and remission using superb microvascular imaging in rheumatoid arthritis.

Hidemasa Matsuo, Akari Imamura, Madoka Shimizu, Maiko Inagaki, Yuko Tsuji, Shuichiro Nakabo, Motomu Hashimoto, Hiromu Ito, Shiro Tanaka, Tsuneyo Mimori and 1 more

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Article in Journal of medical ultrasonics (2001), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. 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

11 authors.

Hidemasa MatsuoDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan. matsuo@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-7578-006X
Akari ImamuraDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan.
Madoka ShimizuDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan.
Maiko InagakiDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan.
Yuko TsujiDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan.
Shuichiro NakaboDepartment of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Motomu HashimotoDepartment of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Hiromu ItoDepartment of Advanced Medicine for Rheumatic Diseases, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Shiro TanakaDepartment of Clinical Biostatistics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Tsuneyo MimoriDepartment of Rheumatology and Clinical Immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Yasutomo FujiiDepartment of Human Health Sciences, Graduate School of Medicine, Kyoto University, 53 Kawahara-cho, Syogoin, Sakyoku, Kyoto, 606-8507, Japan.

Funding

JSPS KAKENHI 18K12103
6 · The paper itself

Abstract

purposeUltrasound is commonly used to assess the degree of synovitis in patients with rheumatoid arthritis (RA); however, it is unclear which joints are optimal for evaluating and predicting recurrence and remission. PATIENTS AND

methodsIn 293 RA patients enrolled in the KURAMA cohort, 28 joints were assessed by ultrasound.

resultsResults from patients in remission in both 2015 and 2017 (Group 1, n = 152) were compared with those from patients in remission in 2015 and non-remission in 2017 (Group 2, n = 60). The SMI scores for total (3.1 vs. 6.3, P = 0.004), MCP2-5 (1.1 vs. 2.4, P = 0.03), wrist (0.9 vs. 2.1, P = 0.0003), MTP2-5 (0.4 vs. 1.0, P = 0.03), and Lisfranc joints (0.07 vs. 0.25, P = 0.04) were significantly higher for Group 2. When those in non-remission in 2015 and remission in 2017 (Group 3, n = 27) were compared with those in remission in 2015 and non-remission in both 2015 and 2017 (Group 4, n = 54), the GS-SMI combined score (3.0 vs. 5.0, P = 0.04) and SMI score (1.5 vs. 2.9, P = 0.04) for MCP2-5 joints were significantly higher for Group 4. Multivariate logistic regression analysis identified "wrist SMI score ≧ 1" as an independent prognostic factor for recurrence (odds ratio 3.08, P = 0.001) and "MCP2-5 GS-SMI combined score ≦ 4" as an independent prognostic factor for remission (odds ratio 3.25, P = 0.048).

conclusionWe identified the optimal joint cut-off scores for predicting recurrence and remission in RA patients. Risk-stratification therapy based on the ultrasound scores may improve outcome and quality of life for patients with RA.

Indexed as

AdultAgedArthritis, RheumatoidCohort StudiesFemaleHumansLogistic ModelsMiddle AgedOdds RatioQuality of LifeRecurrenceUltrasonographyWrist JointPrognosisRheumatoid arthritisSuperb microvascular imagingUltrasonography

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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.