Evidence map›Paper›PMID 40914461›Full record

ReviewClinical medicine (London, England)2025

Applications of musculoskeletal ultrasound in inflammatory arthritis.

Noor Nooh, Rimaz Turkawi, Mark Maybury, Caroline Cardy, Ilfita Sahbudin

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Clinical medicine (London, England), 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Noor NoohRheumatology Research Group, Department of Inflammation and Ageing, College of Medicine & Health, University of Birmingham, Birmingham, UK; National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Rimaz TurkawiRheumatology Research Group, Department of Inflammation and Ageing, College of Medicine & Health, University of Birmingham, Birmingham, UK; National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Mark MayburyRheumatology Research Group, Department of Inflammation and Ageing, College of Medicine & Health, University of Birmingham, Birmingham, UK; National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK.
Caroline CardyRheumatology Department, Worcestershire Royal Hospital, Worcestershire Acute Hospitals NHS Trust, Worcester, UK.
Ilfita SahbudinRheumatology Research Group, Department of Inflammation and Ageing, College of Medicine & Health, University of Birmingham, Birmingham, UK; National Institute for Health Research (NIHR) Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK; Rheumatology Department, Worcestershire Royal Hospital, Worcestershire Acute Hospitals NHS Trust, Worcester, UK. Electronic address: i.sahbudin@bham.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Musculoskeletal ultrasound plays an important role in facilitating diagnostic and therapeutic decisions in rheumatic diseases. This article discusses the utility of ultrasound in rheumatoid arthritis, spondyloarthropathy and crystal arthropathy. This article also highlights the implementation challenges and the emerging role of artificial intelligence in enhancing musculoskeletal ultrasound.

Indexed as

Arthritis, RheumatoidMusculoskeletal SystemArtificial IntelligenceCrystal ArthropathiesHumansSpondylarthropathiesUltrasonographyInflammatory arthritisMusculoskeletal ultrasoundSynovitisTenosynovitis

Identifiers

PMID40914461
PMCPMC12546444

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.