ArticleHereditas2025
Quantitative study and related factors analysis of sciatic neuropathy in type 2 diabetes mellitus patients by elastic imaging virtual tissue imaging quantification technique.
Article in Hereditas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe incidence of diabetic peripheral neuropathy (DPN) is increasing every year for type 2 diabetes mellitus (T2DM) patients, and diabetic polyneuropathy is a common type.
objectiveTo quantify and analyze the factors associated with diabetic polyneuropathy using the virtual tissue imaging quantification (VTIQ) technique.
method182 patients with T2DM, 137 patients with diabetic polyneuropathy, and 198 healthy volunteers were included in this retrospective cross-sectional diagnostic study. Sciatic neuropathy was evaluated through Doppler ultrasound examination with a VTIQ quantitative analysis system to acquire elastic modulus, cross-sectional area (CSA) and shear wave velocity (SWV). Nerve conduction velocity (NCV) was also evaluated via neurophysiological examination. Logistic regression was used to analyze odds ratios (OR) related diabetic polyneuropathy. The diagnostic accuracy of the VTIQ technique-acquired index on diabetic polyneuropathy was analyzed using the receiver operating characteristic (ROC) curve.
resultsVTIQ technique-acquired indexes all differed significantly among three study groups, among which Elastic modulus and CSA were independently related to diabetic polyneuropathy risk according to the logistic regression analysis. NCV was also an independent risk factor for diabetic polyneuropathy. ROC analysis revealed that Elastic modulus, CSA and NCV can distinguish diabetic polyneuropathy patients from T2DM cases with the AUC of 0.797, 0.654 and 0.775 respectively. But their combination achieved the highest diagnostic value (AUC = 0.883). CSA and SWV of the sciatic nerve are positively correlated with visual analog scale (VAS) scores.
conclusionVTIQ technology contributes to the diagnosis of diabetic polyneuropathy, it can improve the diagnostic value of neurophysiological examination on sciatic neuropathy for T2DM patients.
Indexed as
Identifiers
What OpenQuestion holds
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.