Evidence map›Paper›PMID 41651936›Full record

SynthesisScientific reports2026

To explore the performance of ultrasound elastography in staging diabetic kidney disease: a systematic review and meta-analysis.

Alisa Mohebbi, Saeed Mohammadzadeh, Fatemeh Asli, Faeze Salahshour, Afshin Mohammadi

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Alisa MohebbiUniversal Scientific Education and Research Network (USERN), Tehran, Iran.
Saeed MohammadzadehUniversal Scientific Education and Research Network (USERN), Tehran, Iran.
Fatemeh AsliUniversal Scientific Education and Research Network (USERN), Tehran, Iran.
Faeze SalahshourDepartment of Radiology, Tehran University of Medical Sciences, Imam Khomeini Hospital, Tehran, Iran.
Afshin MohammadiDepartment of Radiology, Faculty of Medicine, Urmia University of Medical Science, Urmia, Iran. mohammadi.a@umsu.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the diagnostic performance of different quantitative ultrasound elastography (USE) parameters in differentiating five stages of diabetic kidney disease (DKD) from each other as well as from healthy participants and type 2 diabetic patients without nephropathy. The protocol was pre-registered at https://osf.io/dfu8b/ . Using PubMed, Web of Science, Embase, and Cochrane Library, we found studies up to October 10, 2023. Risk of bias was assessed using Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). The USE parameter of cortical stiffness was compared in an inter-stage manner based on mean differences, standardized mean differences, and ratios of means. In addition, cortical stiffness was evaluated for its diagnostic accuracy in staging DKD. Sensitivity and publication bias analyses were also conducted. Certainty of evidence was assessed using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE). Eighteen studies were included with 2814 participants. The mean stiffness value consistently increased with the progression of the disease. Differentiation of five stages of DKD from two non-DKD groups, respectively, showed sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and area under curve of 79%, 83%, 4.70, 0.25, 18.68, and 0.88. These values for differentiation of stages 3 to 5 of DKD from the other four milder groups were 80%, 79%, 3.85, 0.25, 15.53, and 0.87, respectively. USE shows promise as a noninvasive, simple, and quantitative diagnostic tool for staging DKD, especially in its early stages. With standardized protocols, its application could benefit patient management by enhancing the accuracy of DKD staging.

Indexed as

Diabetic NephropathiesElasticity Imaging TechniquesDiabetes Mellitus, Type 2HumansSensitivity and SpecificityDiabetes mellitus (DM)Diabetic kidney disease (DKD)Diagnostic test accuracy (DTA)Shear wave elastography (SWE)Ultrasound elastography (USE)

Identifiers

PMID41651936
PMCPMC12932849

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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.