SynthesisSkeletal radiology2019
Diagnostic accuracy of imaging modalities in the detection of clinically diagnosed de Quervain's syndrome: a systematic review.
Synthesis in Skeletal radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06980779 (The Correlation of Clinical and Ultrasonographic Findings in Dorsoradial Wrist Pain Patients), which is not on this map. Cited by 8 papers.
What it found
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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.
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.
The Correlation of Clinical and Ultrasonographic Findings in Dorsoradial Wrist Pain Patients: Cross Sectional Study
Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Brachioradialis muscle pain: a common source of underdiagnosed or misdiagnosed forearm pain.The Korean journal of pain · 2026Review
- Radiographic Edema Is a Predictor of de Quervain's Tenosynovitis.Journal of wrist surgery · 2024Article
- A scoping review to map evidence regarding key domains and questions in the management of non-traumatic wrist disorders.Hand therapy · 2024Article
- Tendon injections - upper extremity.Skeletal radiology · 2023Review
- Short-term Effectiveness of High-intensity Laser Therapy in De Quervain Tenosynovitis: A Prospective, Randomized, Controlled Study.Medeniyet medical journal · 2023Article
- de Quervain's Tenosynovitis and Radial Styloid Osseous Changes.Indian journal of orthopaedics · 2022Article
- de Quervain's tenosynovitis.BMJ case reports · 2020Article
- Clinical and Imaging Correlates of Radial Styloid Changes in De Quervain's Tenosynovitis: A Cross-Sectional Observational Study.Journal of pharmacy & bioallied sciencesArticle
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectivesTo collate and synthesise the literature to provide estimates of the diagnostic accuracy of imaging modalities, and summarise the reported imaging findings associated with de Quervain's syndrome. MATERIALS AND
methodsA systematic search was performed in seven databases (MEDLINE, EMBASE, CINAHL, Cochrane Library, PROSPERO, Web of Science, and ProQuest Dissertations & Theses Global). Two reviewers independently performed screening, data extraction and quality assessment using a modified Quality Assessment of Diagnostic Accuracy Studies-2. Measures of diagnostic accuracy were summarised for different modalities and imaging findings.
resultsTwenty-two studies were included, reporting ultrasound, magnetic resonance imaging, X-ray and scintigraphy findings. Reported imaging findings included sheath effusion, retinaculum thickening, subcutaneous oedema, tenosynovitis, hypervascularity, increased tendon size, bony erosion, apposition, calcific lesions and increased uptake on scintigraphy. The most commonly reported imaging findings related to the tendon sheath, with a sensitivity ranging from 0.45 to 1.00 for thickening, and 0.29 to 1.00 for effusions. The risk of bias of studies is largely unclear owing to a lack of reported detail.
conclusionsThe accuracy of imaging in the diagnosis of de Quervain's syndrome is unable to be determined because of the quality of the studies included. Ultrasound is the most frequently studied imaging modality and may be the modality of choice in clinical practice. Further research involving both symptomatic and asymptomatic participants and clear definitions of abnormal findings are required to better evaluate the effectiveness of imaging in identifying de Quervain's syndrome.
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Registered trials
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.