Evidence map›Paper›PMID 38073636›Full record

ReviewFrontiers in neurology2023

Magnetic resonance imaging on brain structure and function changes in diabetic peripheral neuropathy.

Li-Qin Wang, Jin-Huan Yue, Sheng-Lan Gao, Dan-Na Cao, Ang Li, Cai-Liang Peng, Xiao Liu, Sheng-Wang Han, Xiao-Ling Li, Qin-Hong Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. 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

10 authors at 4 institutions in 2 countries.

Li-Qin Wang *Department of Nursing Care, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Jin-Huan Yue *Shenzhen Frontiers in Chinese Medicine Research Co., Ltd., Shenzhen, China.
Sheng-Lan Gao *Graduate School of Heilongjiang University of Chinese Medicine, Harbin, China.
Dan-Na CaoDivision of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Ang LiServier (Beijing) Pharmaceutical Research & Development Co. Ltd., Beijing, China.
Cai-Liang PengThird Ward of Cardiology Department, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xiao LiuDepartment of Pediatrics, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Sheng-Wang HanThird Ward of Rehabilitation Department, Second Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Xiao-Ling LiDivision of CT and MRI, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Qin-Hong ZhangShenzhen Frontiers in Chinese Medicine Research Co., Ltd., Shenzhen, China.
First Affiliated Hospital of Heilongjiang University of Chinese Medicine · CNHeilongjiang University of Chinese Medicine · CNServier (China) · CNVitality Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the significant increase in the global prevalence of diabetes mellitus (DM), the occurrence of diabetic peripheral neuropathy (DPN) has become increasingly common complication associated with DM. It is particularly in the peripheral nerves of the hands, legs, and feet. DPN can lead to various adverse consequences that greatly affect the quality of life for individuals with DM. Despite the profound impact of DPN, the specific mechanisms underlying its development and progression are still not well understood. Advancements in magnetic resonance imaging (MRI) technology have provided valuable tools for investigating the central mechanisms involved in DPN. Structural and functional MRI techniques have emerged as important methods for studying the brain structures and functions associated with DPN. Voxel-based morphometry allows researchers to assess changes in the volume and density of different brain regions, providing insights into potential structural alterations related to DPN. Functional MRI investigates brain activity patterns, helping elucidate the neural networks engaged during sensory processing and pain perception in DPN patients. Lastly, magnetic resonance spectroscopy provides information about the neurochemical composition of specific brain regions, shedding light on potential metabolic changes associated with DPN. By synthesizing available literature employing these MRI techniques, this study aims to enhance our understanding of the neural mechanisms underlying DPN and contribute to the improvement of clinical diagnosis.

Indexed as

diabetes mellitusdiabetic peripheral neuropathyfunctional magnetic resonance imagingmagnetic resonance spectroscopyvoxel-based morphological analysis

Identifiers

PMID38073636
PMCPMC10699301
OpenAlexW4388900395

What OpenQuestion holds

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LicenceCC BY
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.