Evidence map›Paper›PMID 36475184›Full record

ArticleCureus2022

Optimizing Reliability of Real-Time Sonographic Examination and Scoring of Joint Synovitis in Rheumatoid Arthritis.

Veena K Ranganath, Ami Ben-Artzi, Jenny Brook, Yosra Suliman, Astrid Floegel-Shetty, Thasia Woodworth, Mihaela Taylor, Laurie A Ramrattan, David Elashoff, Gurjit S Kaeley

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. 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

10 authors.

Veena K RanganathDepartment of Rheumatology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Ami Ben-ArtziDepartment of Rheumatology, Cedars Sinai Medical Center, Los Angeles, USA.
Jenny BrookDepartment of Medicine Statistics Core, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Yosra SulimanDepartment of Rheumatology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Astrid Floegel-ShettyCollege of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Thasia WoodworthDepartment of Rheumatology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Mihaela TaylorDepartment of Rheumatology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Laurie A RamrattanDepartment of Rheumatology, University of Florida College of Medicine, Jacksonville, USA.
David ElashoffDepartment of Rheumatology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, USA.
Gurjit S KaeleyDepartment of Rheumatology, University of Florida College of Medicine, Jacksonville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveMusculoskeletal ultrasound real-time image acquisition and scoring are complex, and many factors affect reliability. Static image reliability does not guarantee real-time scoring. This study aimed to identify factors and solutions to improve real-time scoring reliability for the grey scale and power Doppler evaluation of synovitis. We also report on using a novel musculoskeletal ultrasound synovitis rule-based scoring atlas.

methodsIn four stages, we evaluated inter- and intra-reader reliability among three ultrasonographers (US1-3). Intra- and inter-reader reliability was calculated using weighted-kappa, intraclass correlation coefficient, and Spearman correlation. Reliability statistics were compared between stages using permutation tests to compute empirical distributions for differences in those statistics. At each stage, factors that diminished reliability were identified and addressed. After intensive reliability exercises, a RA MSUS atlas with in-depth scoring rules was generated to improve interpretive reliability.

resultsThe three ultrasonographers had good to excellent intra-reader reliability for real-time acquisition scoring over 2432 views (weighted kappa 0.52-0.80, intraclass correlation coefficient 0.59-0.86, and Spearman correlation 0.64-0.86). Inter-reader reliability was good to excellent between US1/US2 and US1/US3 (weighted kappa 0.51-0.66, intraclass correlation coefficient 0.66-0.75, Spearman correlation 0.59-0.73). US1 achieved significant improvement in intra-reader reliability from stage 1 to stage 2 (

Indexed as

clinical trialoutcome measuresrheumatoid arthritissynovitisultrasound

Identifiers

PMID36475184
PMCPMC9718660

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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.