Evidence map›Paper›PMID 35512175›Full record

SynthesisRheumatology (Oxford, England)2022

Musculoskeletal ultrasound for treating rheumatoid arthritis to target-a systematic literature review.

Ettore Silvagni, Sara Zandonella Callegher, Eleonora Mauric, Sofia Chiricolo, Nikolaus Schreiber, Annarita Tullio, Alen Zabotti, Carlo Alberto Scirè, Christian Dejaco, Garifallia Sakellariou

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis 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 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Rheumatoid Arthritis: Biomarkers and the Latest Breakthroughs.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Artificial intelligence in rheumatology: A transformative perspective.Journal of translational internal medicine · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Comparisons of [Clinical rheumatology · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Review
  20. 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 at 5 institutions in 2 countries.

Ettore SilvagniRheumatology Unit, Department of Medical Sciences, Università degli Studi di Ferrara and Azienda Ospedaliero-Universitaria S. Anna, Cona, FE.
Sara Zandonella CallegherDepartment of Rheumatology, Hospital of Brunico (SABES-ASDAA), Brunico, BZ.
Eleonora MauricDivision of Rheumatology, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, PV, Italy.
Sofia ChiricoloDivision of Rheumatology, IRCCS Policlinico San Matteo Foundation, University of Pavia, Pavia, PV, Italy.
Nikolaus SchreiberDepartment of Rheumatology, Medical University of Graz, Graz, Austria.
Annarita TullioInstitute of Epidemiology.ORCID 0000-0003-3332-7459
Alen ZabottiRheumatology Clinic, Department of Medical Area, Academic Hospital 'Santa Maria della Misericordia', Udine, UD.ORCID 0000-0002-0573-464X
Carlo Alberto ScirèRheumatology Unit, School of Medicine and Surgery, University of Milano-Bicocca.ORCID 0000-0001-7451-0271
Christian DejacoDepartment of Rheumatology, Hospital of Brunico (SABES-ASDAA), Brunico, BZ.ORCID 0000-0002-0173-0668
Garifallia SakellariouIstituti Clinici Scientifici Maugeri, University of Pavia, Pavia, PV, Italy.ORCID 0000-0002-1849-5123
University of Pavia · ITMedical University of Graz · ATOspedale Santa Maria della Misericordia di Udine · ITSocietà Italiana di Reumatologia · ITUniversity of Ferrara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to systematically review the literature to retrieve evidence on the diagnostic and prognostic value of musculoskeletal ultrasound for a treat to target (T2T) approach in RA.

methodsEight research questions were developed addressing the role of ultrasound (including different ultrasound scores and elementary lesions) for diagnosis, monitoring and prognosis of RA. PubMed and EMBASE were searched (2005-2020). Articles on RA and reporting data on musculoskeletal ultrasound were included and extracted according to the underlying questions, and risk of bias assessed according to the study design.

resultsOut of 4632 records, 60 articles were included. Due to clinical heterogeneity, meta-analysis was not possible. Ultrasound better predicted disease relapses with respect to clinical examination in patients in remission, while both methods performed similarly in predicting response to therapy, achievement of remission and radiographic progression. Ultrasound was superior to clinical examination in diagnosing joint involvement using another imaging modality, such as magnetic resonance imaging, as reference. Limited ultrasound scores performed like more extensive evaluations for the detection of joint inflammation and for outcome prediction. Higher ultrasound scores of synovitis were linked to poor outcomes at all disease stages, but a specific cut-off distinguishing between low- and high-risk groups did not emerge.

conclusionsThese data confirm the pivotal role of ultrasound when evaluating synovial inflammation and when identifying RA patients at higher risk of relapse. Further research is needed to better define the role of ultrasound in a T2T management strategy in moderately-to-highly active RA.

Indexed as

Arthritis, RheumatoidSynovitisHumansInflammationPrognosisRecurrenceUltrasonographydiagnosisimagingpredictionprognosisRAsystematic literature reviewultrasound

Identifiers

PMID35512175
PMCPMC9707059
OpenAlexW4225754403

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.