Evidence map›Paper›PMID 26447163›Full record

SynthesisRheumatology (Oxford, England)2016

The role of ultrasound in assessing musculoskeletal symptoms of systemic lupus erythematosus: a systematic literature review.

Ahmed S Zayat, Md Yuzaiful Md Yusof, Richard J Wakefield, Philip G Conaghan, Paul Emery, Edward M Vital

Abstract readSystematic Review
In one paragraph

Synthesis in Rheumatology (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Improving the arthritis component of the SLEDAI-2K.Rheumatology (Oxford, England) · 2025
    Observational
  5. Article
  6. Review
  7. Article
  8. Review
  9. A glimpse into the future of systemic lupus erythematosus.Therapeutic advances in musculoskeletal disease · 2022
    Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. [Musculoskeletal ultrasound findings of symptomatic joints in patients with systemic lupus erythematosus].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Observational
  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

6 authors.

Ahmed S ZayatNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK aszayat@doctors.org.uk.
Md Yuzaiful Md YusofNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Richard J WakefieldNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Philip G ConaghanNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Paul EmeryNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.
Edward M VitalNIHR Leeds Biomedical Research Unit, Leeds Teaching Hospitals NHS Trust and Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.

Funding

Department of Health CS-2013-13-032Department of Health DRF-2014-07-155Medical Research Council MR/L01629X/1Versus Arthritis 18475
6 · The paper itself

Abstract

objectivesMusculoskeletal symptoms are common in SLE and are associated with significant morbidity. However, assessing their nature can be challenging, with implications for treatment decisions and measuring response. US has been shown to be valid and reliable for the assessment of other inflammatory arthritides, but data in SLE are more limited. The objectives of this systematic literature review were to determine the characteristics of musculoskeletal US abnormalities in SLE and to evaluate the metric properties of US in the detection and quantification of musculoskeletal symptoms.

methodsWe systematically searched the literature using the PubMed, Embase and Cochrane Library databases for studies using musculoskeletal US for assessing SLE. Studies were assessed for quality using the Quality Assessment of Diagnostic Accuracy Studies tool and for their metric qualities, including reliability and validity.

resultsNine studies were identified. Most studies investigated construct validity. Rates of abnormality were highly variable: synovitis and tenosynovitis were reported in 25-94% and 28-65% of patients, respectively; power Doppler and erosions were reported in 10-82% and 2-41% of patients, respectively. There was poor to moderate association between US abnormalities and disease activity indices and immunological findings. There was moderate to high risk of bias and there were concerns about applicability in most studies.

conclusionUS has potential value in the assessment of musculoskeletal symptoms in SLE. However, there is methodological variation between studies that may account for lack of consensus on US abnormalities. Studies that address these problems are required before US can used as an outcome measure in SLE.

Indexed as

AdultArthritisFemaleHumansLupus Erythematosus, SystemicMaleMiddle AgedMusculoskeletal DiseasesRoleSensitivity and SpecificitySeverity of Illness IndexSynovitisTenosynovitisUltrasonography, DopplerYoung AdultarthritisBILAGPower Dopplersystematic literature reviewsystematic lupus erythematosustenosynovitisultrasound

Identifiers

PMID26447163
PMCPMC5854027

What OpenQuestion holds

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Read underepoch 390

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.