Evidence map›Paper›PMID 22905071›Full record

ArticleThe open rheumatology journal2012

Combined structural and synovial assessment for improved ultrasound discrimination of rheumatoid, osteoarthritic, and normal joints: a pilot study.

Gary A Kunkel, Grant W Cannon, Daniel O Clegg

Open access · hybridAbstract read
In one paragraph

Article in The open rheumatology journal, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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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

3 authors at 1 institution in 1 country.

Gary A KunkelGeorge E. Wahlen VA Medical Center, Division of Rheumatology, University of Utah School of Medicine, USA.
Grant W Cannon
Daniel O Clegg
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent ultrasonographic scoring systems used to assess the degree of finger joint synovitis in rheumatoid arthritis (RA) are not designed for distinguishing healthy or osteoarthritis (OA) patients from those with RA in clinical settings.

objectiveTo explore a novel scoring approach using structural and synovial ultrasonographic features to distinguish between healthy and OA finger joints and those with RA.

methods22 patients with RA, 16 healthy controls, and 14 OA controls received a comprehensive ultrasound of one hand, with scores assigned using a modification of a previously reported RA scoring system (Semiquantitative Synovial Score), and using the novel approach (Combined Structural/Synovial Score). The number of joints classified as supporting the diagnosis of RA ("RA-supported") with each approach was recorded. Sensitivity and specificity for each scoring system were calculated with respect to the clinical diagnosis.

resultsThe Semiquantitative Synovial Score was highly sensitive (100%), but without specificity (0%) for the diagnosis of RA, when RA was defined as having more than 1 joint classified as "RA-supported." The Combined Structural/Synovial Score had high sensitivity (95%) and moderate specificity (77%) when RA was defined as having any joint classified as "RA-supported". Moderate sensitivity (73%) and high specificity (97%) were found when having more than 1 joint classified as "RA-supported" was required to diagnose RA.

conclusionA novel structural and synovial hand joint scoring system was capable of distinguishing OA and healthy controls from RA subjects in this pilot evaluation. Prospective validation of this approach is planned.

Indexed as

osteoarthritis.rheumatoid arthritisscoring systemUltrasound

Identifiers

PMID22905071
PMCPMC3419873
OpenAlexW2153615987

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Registered trials

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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.