SynthesisMedicine2020
Comparison of MRI and MRA for the diagnosis of rotator cuff tears: A meta-analysis.
Synthesis in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07456215 (The Effect of Platelet Rich Plasma), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled 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.
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 Effect of Platelet Rich Plasma (PRP) Application on Rotator Cuff Tear.
Who cites it
33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 62 citations in OpenAlex.
- Diagnostic performance of long head of biceps tendon tears on MRI: systematic review and meta-analysis.European radiology · 2024Pooled it
- MRA improves sensitivity than MRI for the articular-sided partial-thickness rotator cuff tears.Science progress · 2021Pooled it
- Incidental Rotator Cuff Abnormalities on Magnetic Resonance Imaging.JAMA internal medicine · 2026Article
- Diagnostic accuracy of magnetic resonance imaging and ultrasonography for rotator cuff tears : Comparison with magnetic resonance arthrography as the gold standard.Radiologie (Heidelberg, Germany) · 2026Article
- Rotator Cuff-Related Shoulder Pain: A Survey of Current Physiotherapy Practice in Cyprus.Clinics and practice · 2026Article
- [Comparison of the Clinical Examination, Magnetic Resonance Imaging and Intraoperative].Acta chirurgiae orthopaedicae et traumatologiae Cechoslovaca · 2025Article
- SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses.NPJ artificial intelligence · 2025Article
- Pathophysiology of subacromial pain syndrome: contributions of rotator cuff-related factors and pain sensitization.Pain reports · 2025Article
- Advances in Shoulder Pain Imaging: A Narrative Review of Current Practice and Emerging Trends.Current medical imaging · 2025Article
- Prevalence of Appropriate Anatomic Total Shoulder Arthroplasty in a Large Multicenter US Cohort Using a RAND/UCLA Algorithm.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025Article
- Zero vs. 30: a diagnostic manual muscle testing technique for detecting full- or partial-thickness supraspinatus muscle tears.JSES reviews, reports, and techniques · 2025Article
- Development of a multimodal vision transformer model for predicting traumatic versus degenerative rotator cuff tears on magnetic resonance imaging: A single-centre retrospective study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Article
- Article
- Novel Noninvasive Imaging Techniques to Assess Structural, Functional, and Material Properties of Tendon, Ligament, and Cartilage: A Narrative Review of Current Concepts.Orthopaedic journal of sports medicine · 2025Article
- Toward non-invasive diagnosis of Bankart lesions with deep learning.Proceedings of SPIE--the International Society for Optical Engineering · 2025Article
- Role of Magnetic Resonance Arthrography (MRA) in the Diagnosis of Shoulder Injuries.Advanced biomedical research · 2025Article
- Article
- Article
- The value of combined ultrasound contrast arthrography and subacromial-subdeltoid bursography for detecting and differentiating the rotator cuff tear subtypes in patients with the uncertain rotator cuff tear.European radiology · 2024Article
- Evaluation of Shoulder Injuries: A Comparative Study of Imaging by Magnetic Resonance Imaging (MRI) and Magnetic Resonance Arthrography (MRA).Journal of pharmacy & bioallied sciences · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundNumerous quantitatively based studies measuring the accuracy of MRI and MRA for the diagnosis of rotator cuff tears remain inconclusive. In order to compare the accuracy of MRI with MRA in detection of rotator cuff tears a meta-analysis was performed systematically.
methodsPubMed/Medline and Embase were utilized to retrieve articles comparing the diagnostic performance of MRI and MRA for use in detecting rotator cuff tears. After screening and diluting out the articles that met inclusion criteria to be used for statistical analysis the pooled evaluation indexes including sensitivity and specificity as well as hierarchical summary receiver operating characteristic (HSROC) curves with 95% confidence interval (CI) were calculated.
resultsScreening determined that 12 studies involving a total of 1030 patients and 1032 shoulders were deemed viable for inclusion in the meta-analysis. The results of the analysis showed that MRA has a higher sensitivity and specificity than MRI for the detection of any tear; similar results were observed in the detection of full-thickness tears. However, for the detection of partial-thickness tear, MRI has similar performance with MRA.
conclusionMRI is recommended to be a first-choice imaging modality for the detection of rotator cuff tears. Although MRA have a higher sensitivity and specificity, it cannot replace MRI after the comprehensive consideration of accuracy and practicality.
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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.