Evidence map›Paper›PMID 39569559›Full record

ArticleJournal of diabetes investigation2025

Relationship between nerve ultrasonography image and electrophysiology in diabetic polyneuropathy.

Pei-Chen Hsieh, Long-Sun Ro, Chun-Che Chu, Ming-Feng Liao, Hong-Shiu Chang, Hung-Chou Kuo

Abstract read
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Article in Journal of diabetes investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

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

3 citing papers in PubMed.

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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

6 authors.

Pei-Chen HsiehDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0001-5258-5950
Long-Sun RoDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Chun-Che ChuDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Ming-Feng LiaoDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Hong-Shiu ChangDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.
Hung-Chou KuoDepartment of Neurology, Chang Gung Memorial Hospital at Linkou Medical Center and Chang Gung University College of Medicine, Taoyuan, Taiwan.ORCID https://orcid.org/0000-0001-8738-6476

Funding

Chang Gung Memorial Hospital, Linkou CMRPG3L1121
6 · The paper itself

Abstract

AIMS/

introductionThis study aims to investigate the association between cross-sectional area (CSA) imaging findings of nerve ultrasound and conventional nerve conduction studies (NCS) for patients with distal symmetric sensorimotor polyneuropathy (DSPN) due to type 2 diabetes mellitus. MATERIALS AND

methodsWe enrolled 103 patients with type 2 diabetes mellitus and collected their demographic data, modified Michigan Neuropathy Screening Instrument (mMNSI) score, NCS, and ultrasonography images of peripheral nerves. The relationship of ultrasound variables for individual nerves and the ultrasound pattern sum score (UPSS) to conventional NCS findings was investigated.

resultsA higher grade of DSPN was associated with a notably higher CSA. Multivariate step-wise regression analysis revealed that the number of abnormal nerves was a positive independent variable for UPSS (β coefficient = 0.4205; P < 0.0001). Of the five nerves studied, abnormalities of the tibial nerve (P ≤ 0.0100) and ulnar nerve (P = 0.052) were the most significant variables.

conclusionsThe tibial nerve exhibited the most substantial association with elevated UPSS. In addition, a strong correlation was observed between abnormal NCS findings and UPSS in patients with DSPN.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesNeural ConductionPeripheral NervesTibial NerveAdultAgedFemaleHumansMaleMiddle AgedUltrasonographyDiabetic polyneuropathyNerve conduction studiesNerve ultrasound

Identifiers

PMID39569559
PMCPMC11786178

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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.