Evidence map›Paper›PMID 39424691›Full record

Trial reportJournal of ultrasound2025

Clinical and ultrasound optimization in rheumatoid arthritis for patients in sustained remission, can it work as a new optimization tool?

Gustavo Añez, Vicenç Torrente-Segarra, María Bonet, Mireia Castillo Vilella, Laia Orpinell, Andrés Ponce Fernández, Noemí Busquets-Pérez, María Pascual-Pastor, Héctor Corominas, Cesar Diaz-Torne and 2 more

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Journal of ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

12 authors.

Gustavo AñezRheumatology Unit, Hospital Universitari Arnau de Vilanova, Lleida, Spain. justgs@hotmail.com.ORCID http://orcid.org/0000-0002-3849-7927
Vicenç Torrente-SegarraRheumatology Unit, Hospital Comarcal de l'Alt Penedès, Vilafranca del Penedès, Spain.
María BonetRheumatology Unit, Hospital Comarcal de l'Alt Penedès, Vilafranca del Penedès, Spain.
Mireia Castillo VilellaRheumatology Unit, Hospital Universitari Sagrat Cor, Barcelona, Spain.
Laia OrpinellRheumatology Unit, Hospital Universitari Sagrat Cor, Barcelona, Spain.
Andrés Ponce FernándezRheumatology Unit, Hospital General de Granollers, Granollers, Spain.
Noemí Busquets-PérezRheumatology Unit, Hospital General de Granollers, Granollers, Spain.
María Pascual-PastorRheumatology Unit, Hospital General de Granollers, Granollers, Spain.
Héctor CorominasRheumatology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Cesar Diaz-TorneRheumatology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Patricia MoyaRheumatology Unit, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Juan José De AgustinRheumatology Unit, Hospital Universitari Vall d' Hebron, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSome studies have noted that scores relying solely on clinical values to evaluate remission in rheumatoid arthritis (RA) may miss subclinical inflammation, which can lead to exacerbations when therapy is reduced. This opens the possibility of supporting clinical evaluation with imaging studies, one of which is ultrasound (US) evaluation, since it is an accessible tool. Therefore, we have decided to design a study to try to demonstrate the usefulness of US as a complementary measure for the decision-making process in determining the optimization of therapy in patients with RA. MATERIALS AND

methodsA multicenter, blinded, randomized, prospective study was conducted in RA patients meeting 2010 ACR/EULAR criteria for sustained remission by DAS28-ESR, with concomitant CDAI/SDAI evaluation. Patients were classified into clinical and ultrasound groups, with treatment remission based on DAS28 or grayscale synovitis/Doppler values. Ultrasound assessments included grayscale (GS) and power Doppler (PD) for joints (A) and tendons (T). A 12 months follow-up was performed, with a subset analyzed at both 18 and 24 months. Exacerbation criteria: DAS28-ESR rise > 1.2 or CDAI/SDAI > 16.

resultsAcross all centers, 78 patients were initially recruited, but only 46 completed the 12-month follow-up, with 28 undergoing further evaluation at 24 months. The average baseline DAS28 scores were 1.85 for the clinical group and 1.80 for the ultrasound group. During the study, 18 patients experienced disease exacerbation based on DAS28 score elevation, with 10 in the clinical group and 8 in the ultrasound group. Seven patients experienced disease exacerbation based on CDAI score elevation, all of whom were included in the clinical group. Eight patients showed disease exacerbation based on SDAI score elevation, all in the clinical group.

conclusionWe have demonstrated the utility of ultrasound when optimizing management of rheumatoid arthritis patients. In our patient cohort, ultrasound helps to reduce the number of exacerbations using the SDAI/CDAI index. We highlight the limitations of current assessment methods that rely solely on clinical evaluation, underscore the potential significance of evaluating subclinical synovitis, and emphasize the role of ultrasound as an objective tool in guiding therapy decisions. Our study offers valuable insights for optimizing treatment strategies in RA patients and improving their long-term outcomes.

Indexed as

Arthritis, RheumatoidAdultAgedAntirheumatic AgentsFemaleHumansMaleMiddle AgedProspective StudiesRemission InductionUltrasonographyUltrasonography, DopplerAntirheumatic Agentsmusculoesqueletal ultrasoundRheumatoid arthritistreatment optimization

Identifiers

PMID39424691
PMCPMC11947355

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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.