Evidence map›Paper›PMID 33499073›Full record

ReviewBrain sciences2021

Investigating Brain Microstructural Alterations in Type 1 and Type 2 Diabetes Using Diffusion Tensor Imaging: A Systematic Review.

Abdulmajeed Alotaibi, Christopher Tench, Rebecca Stevenson, Ghadah Felmban, Amjad Altokhis, Ali Aldhebaib, Rob A Dineen, Cris S Constantinescu

Open access · goldAbstract readReview
In one paragraph

Review in Brain sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Abdulmajeed AlotaibiDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0001-9132-4569
Christopher TenchDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.
Rebecca StevensonDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0002-2033-1056
Ghadah FelmbanDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.
Amjad AltokhisDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0003-2697-2927
Ali AldhebaibSchool of Applied Medical Sciences, King Saud bin Abdul-Aziz University for Health Sciences, Riyadh 14611, Saudi Arabia.
Rob A DineenDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0002-9523-2546
Cris S ConstantinescuDivision of Clinical Neuroscience, Nottingham University Hospitals NHS Trust, School of Medicine, University of Nottingham, Nottingham NG7 2UH, UK.ORCID 0000-0003-2066-7585
Nottingham University Hospitals NHS Trust · GBKing Saud bin Abdulaziz University for Health Sciences · SAPrincess Nourah bint Abdulrahman University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 1 and type 2 diabetes mellitus have an impact on the microstructural environment and cognitive functions of the brain due to its microvascular/macrovascular complications. Conventional Magnetic Resonance Imaging (MRI) techniques can allow detection of brain volume reduction in people with diabetes. However, conventional MRI is insufficiently sensitive to quantify microstructural changes. Diffusion Tensor Imaging (DTI) has been used as a sensitive MRI-based technique for quantifying and assessing brain microstructural abnormalities in patients with diabetes. This systematic review aims to summarise the original research literature using DTI to quantify microstructural alterations in diabetes and the relation of such changes to cognitive status and metabolic profile. A total of thirty-eight published studies that demonstrate the impact of diabetes mellitus on brain microstructure using DTI are included, and these demonstrate that both type 1 diabetes mellitus and type 2 diabetes mellitus may affect cognitive abilities due to the alterations in brain microstructures.

Indexed as

cognitive dysfunctiondiabetes mellitusdiffusion imagingDiffusion Tensor Imaging (DTI)microstructural abnormalitiestype 1 diabetestype 2 diabetes

Identifiers

PMID33499073
PMCPMC7911883
OpenAlexW3126093592

What OpenQuestion holds

Textmetadata
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.