ArticleWorld journal of clinical cases2019
Value of elastography point quantification in improving the diagnostic accuracy of early diabetic kidney disease.
Article in World journal of clinical cases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- To explore the performance of ultrasound elastography in staging diabetic kidney disease: a systematic review and meta-analysis.Scientific reports · 2026Pooled it
- Ultrasound elastography in chronic kidney disease: a systematic review and meta-analysis.Journal of medical ultrasonics (2001) · 2023Pooled it
- Role of shearing wave elastography in detecting early diabetic nephropathy.Irish journal of medical science · 2025Article
- Shear wave elastography in chronic kidney disease - the physics and clinical application.Physical and engineering sciences in medicine · 2024Review
- Shear wave elastography in early diabetic kidney disease.Revista da Associacao Medica Brasileira (1992) · 2022Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundDiabetic kidney disease (DKD) is a common complication of diabetes. The patient's prognosis is poor once DKD progresses to advanced stage. Accurate diagnosis and timely treatment of early DKD are important for improving patient's prognosis and reducing mortality.
aimTo explore the value of elastography point quantification (ElastPQ) in improving the accuracy of early DKD diagnosis.
methodsA total of 69 patients with type 2 diabetes were recruited from Naval Military Medical University Affiliated Gongli Hospital. Patients were divided into early DKD group and medium DKD group according to pathological results and urinary albumin excretion rate (UAER). Another 40 patients with simple diabetes were included as the diabetes group. The baseline data, laboratory diagnostic indicators, and ultrasound indicators for each patient were recorded. The differences of the indicators in the three groups were compared. Multivariate logistic regression was used to analyze the influencing factors of the development from simple diabetes into early DKD and from early DKD into medium DKD. Receiver operating characteristic analyses of potential indicators in identifying early DKD and medium DKD, and early DKD and simple diabetes were established.
resultsMultivariate logistic regression analysis showed that UAER (
conclusionElastPQ is of great value in the diagnosis of early DKD. When combined with the diabetes duration and UAER, it is expected to diagnose accurately early DKD.
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