Evidence map›Paper›PMID 34164671›Full record

ArticleRheumatology (Oxford, England)2022

Ultrasound of shoulder and knee improves the accuracy of the 2012 EULAR/ACR provisional classification criteria for polymyalgia rheumatica.

Kei Kobayashi, Daiki Nakagomi, Yoshiaki Kobayashi, Chisaki Ajima, Shunichiro Hanai, Kensuke Koyama, Kei Ikeda

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. [Polymyalgia rheumatica].Zeitschrift fur Rheumatologie · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Polymyalgia rheumatica: An update (Review).Experimental and therapeutic medicine · 2023
    Article
  12. Article
  13. Review
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

7 authors.

Kei KobayashiDepartment of Rheumatology, University of Yamanashi Hospital.ORCID 0000-0001-8454-2170
Daiki NakagomiDepartment of Rheumatology, University of Yamanashi Hospital.ORCID 0000-0003-1682-9799
Yoshiaki KobayashiDepartment of Rheumatology, University of Yamanashi Hospital.
Chisaki AjimaDepartment of Rheumatology, University of Yamanashi Hospital.
Shunichiro HanaiDepartment of Rheumatology, University of Yamanashi Hospital.
Kensuke KoyamaCenter for Clinical Immunology and Rheumatology, University of Yamanashi Hospital.
Kei IkedaDepartment of Allergy and Clinical Immunology, Chiba University Hospital, Chiba, Japan.ORCID 0000-0003-0574-9611

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecent studies suggest that the knee is frequently involved in PMR. In this study, we aimed to determine whether the US assessment of the shoulder and knee discriminates between PMR and other differential diagnoses and improves the accuracy of the 2012 EULAR/ACR provisional classification criteria for PMR.

methodsWe consecutively enrolled 81 untreated patients who received a diagnosis of PMR. These patients were divided into two groups based on the final diagnosis made at 1-year follow-up: PMR-definite group (n = 60) and PMR-mimic group (n = 21). We also enrolled age/sex-matched untreated RA patients with shoulder pain from an independent cohort (RA group, n = 60). All patients underwent comprehensive US assessment of the shoulder and knee for synovitis, bursitis, tenosynovitis, tendinitis and ligament inflammation at baseline.

resultsUS scores for tenosynovitis, tendinitis and ligament inflammation better discriminated the PMR-definite group from the PMR-mimic and RA groups than do those for synovitis or bursitis. Among logistic regression models to identify US variables that were associated with the PMR-definite group, the best fitted model included two US variables: the bilateral involvement of the shoulder (long head of biceps, supraspinatus or subscapularis tendon) and the bilateral involvement of the knee (popliteus tendon or medial or lateral collateral ligament). Incorporating these two items into the 2012 EULAR/ACR provisional classification criteria numerically increased the accuracy to classify the PMR-definite group.

conclusionUS assessment of the tendon/ligament-related lesions in the shoulder and knee may improve the accuracy of the 2012 EULAR/ACR provisional classification criteria for PMR.

Indexed as

UltrasonographyAgedAged, 80 and overFemaleGlucocorticoidsHumansKnee JointMalePolymyalgia RheumaticaShoulder JointGlucocorticoidsclassification criterialigament inflammationpolymyalgia rheumaticatendinitistenosynovitisultrasound

Identifiers

PMID34164671
PMCPMC8889301

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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.