Evidence mapPaperPMID 40600199Full record

ArticleJournal of multidisciplinary healthcare2025

Evaluation of the Diagnostic Utility of Combining Electromyography with Clinical and Pathological Indices in the Diagnosis of Diabetic Peripheral Neuropathy: A Retrospective Study.

Wenhua Wang, Ziwei Gong, Siyi Wang, Gang Li

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Article in Journal of multidisciplinary healthcare, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wenhua WangDepartment of Neurology, Wuhan Fourth Hospital, Wuhan, 430000, People's Republic of China.
Ziwei GongDepartment of Neurology, Wuhan Fourth Hospital, Wuhan, 430000, People's Republic of China.
Siyi WangDepartment of Neurology, Wuhan Fourth Hospital, Wuhan, 430000, People's Republic of China.
Gang LiDepartment of Neurology, Wuhan Fourth Hospital, Wuhan, 430000, People's Republic of China.ORCID 0009-0006-4376-0749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the diagnostic value of combining electromyography (EMG) with clinical and pathological parameters in diagnosing diabetic peripheral neuropathy (DPN). Methods: A retrospective study was conducted on 156 diabetic patients (69 with DPN, 87 without) treated from July 2022 to December 2024. Clinical, biochemical, and EMG parameters were compared between groups. Multivariate logistic regression identified independent predictors of DPN. ROC curve analysis assessed diagnostic performance. Results: Group A (DPN) had significantly higher levels of glycated hemoglobin, cystatin C, uric acid, and creatinine, and significantly reduced motor and sensory nerve conduction velocities compared to Group B. Logistic regression identified these indicators as independent risk factors. Combined ROC analysis showed higher diagnostic accuracy (AUC = 0.873) than any single indicator. Conclusion: The combination of EMG with selected clinical and pathological parameters offers high diagnostic accuracy for DPN in diabetic patients.

Indexed as

diabetic neuropathieselectromyographyretrospective studiesrisk assessmentROC curve

Identifiers

PMID40600199
PMCPMC12212094

What Socratic holds

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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 Socratic graph.