ArticleClinical hemorheology and microcirculation2024
Sonographic methods to predict type 2 diabetes patients with sarcopenia: B mode ultrasound and shear wave elastography.
Article in Clinical hemorheology and microcirculation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 7 citations in OpenAlex.
- Measuring shear wave velocity: a potential tool for early detection of muscle decline in middle aged and older adults with type 2 diabetes.Aging clinical and experimental research · 2026Article
- Muscle oxygen saturation stratification by photoacoustic imaging in diabetic sarcopenia: Association with disease status.Photoacoustics · 2025Article
- Echoes of Muscle Aging: The Emerging Role of Shear Wave Elastography in Sarcopenia Diagnosis.Diagnostics (Basel, Switzerland) · 2025Review
- Value of grayscale histogram analysis based on ultrasound images in diagnosing sarcopenia.Quantitative imaging in medicine and surgery · 2025Article
- The role of shear wave elastography in diagnosing sarcopenia in patients with type 2 diabetes.Journal of endocrinological investigation · 2025Article
- Interplay between physical activity, inflammation, and cognitive performance in women with type 2 diabetes: an observational study focused on IL-6 pathway mediators.Diabetology & metabolic syndrome · 2025Article
- Value of Conventional Ultrasound Combined with Shear Wave Elastography for Sarcopenia in Patients with Cardiovascular Disease.Clinical interventions in aging · 2025Article
- Assessment of screening tools for diabetic sarcopenia in type 2 diabetes mellitus: evidence from a scoping review.Frontiers in endocrinology · 2025Article
- Assessment of extensor hallucis brevis stiffness and microcirculation in diabetes: shear wave elastography and contrast-enhanced ultrasound.Frontiers in endocrinology · 2025Article
Corrections and comments
- Retraction · 2025-11-23Compromised Peer Review · Concerns/Issues about Referencing/Attributions · Concerns/Issues about Third Party Involvement · Investigation by Journal/Publisher ·
- Retracted
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundType 2 diabetes accelerates the loss of muscle mass and strength. Sarcopenia is also one of the chronic complications of diabetes.
objectiveTo investigate the clinical value of B mode ultrasound (BMUS) and shear wave elastography (SWE) for predicting type 2 diabetic sarcopenia.
methodsWe recorded Skeletal Muscle Mass Index (ASMI), grip strength, muscle thickness (MT), pinna angle (PA), fascicle length (FL), and the difference of Young's modulus in the relaxed states and tense states (ΔSWE). The correlations between clinical indicators and ultrasound characteristics were compared. A diagnostic model of sarcopenia was developed to assess the independent correlates and evaluate the diagnostic efficacy of sarcopenia.
resultsASMI was significantly and positively correlated with MT and ΔSWE (r = 0.826, 0.765, P < 0.01), and grip strength was significantly and positively correlated with MT and ΔSWE (r = 0.797, 0.818, P < 0.01). MT was the most significant predictor of sarcopenia (OR = 4.576, P < 0.001), and the cut-off value of MT was 11.4 mm (AUC: 0.952).
conclusionBMUS and SWE can quantitatively assess muscle mass and strength, and are effective methods to predict the occurrence of sarcopenia in elderly patients with type 2 diabetes.
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