Evidence map›Paper›PMID 38152244›Full record

ArticleClinical neurophysiology practice2023

Nerve ultrasonographic findings in diabetes mellitus are determined by anatomical location and type of diabetes.

Marianna Tóth, Annamária Szőke, Zsuzsanna Arányi

Open access · goldAbstract read
In one paragraph

Article in Clinical neurophysiology practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Nerve ultrasound - A screening tool for diabetic neuropathy.Clinical neurophysiology practice · 2023
    Article
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

3 authors at 2 institutions in 1 country.

Marianna TóthDept. of Neurology, Vaszary Kolos Hospital, Esztergom, Hungary.
Annamária SzőkeDept. of Neurology, Vaszary Kolos Hospital, Esztergom, Hungary.
Zsuzsanna ArányiDept. of Neurology, Semmelweis University, Budapest, Hungary.
BM Központi Kórház · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: A prospective ultrasound study to analyze nerve size and its modifying factors in type 1 and type 2 diabetes mellitus. Methods: The cross-sectional areas (CSAs) of motor and sensory nerves in both upper and lower limbs were measured at 14 measurement points, using high resolution ultrasound in 26 patients with type 1 and 76 patients with type 2 diabetes, and in 50 control subjects. All diabetic patients underwent electrophysiological assessment to check for the presence of polyneuropathy. Results: Significant mild/moderate diffuse nerve enlargement was demonstrated in type 2 diabetes, more pronounced at compression sites versus non-compression sites, and on the upper limbs versus lower limbs (p value for pooled DM2 v. control group: <0.001). In type 1 diabetes, nerve enlargement was found only at one compression site (median nerve wrist; p = 0.002). No significant difference was found between patients with or without polyneuropathy. Conclusions: The primary predictors of nerve size in diabetes are anatomical location (i.e. compression sites versus non-compression sites, upper versus lower limbs) and type of diabetes. Changes occur before the electrophysiological signs of polyneuropathy are detected. Significance: Nerve ultrasound may contribute to early recognition of the neuropathic complications of diabetes.

Indexed as

Compression neuropathyCross sectional areaDiabetesNerve ultrasoundPolyneuropathy

Identifiers

PMID38152244
PMCPMC10751747
OpenAlexW4378071598

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.