Evidence map›Paper›PMID 33498918›Full record

ReviewDiagnostics (Basel, Switzerland)2021

Early Detection of Diabetic Peripheral Neuropathy: A Focus on Small Nerve Fibres.

Jamie Burgess, Bernhard Frank, Andrew Marshall, Rashaad S Khalil, Georgios Ponirakis, Ioannis N Petropoulos, Daniel J Cuthbertson, Rayaz A Malik, Uazman Alam

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed, 5 pooled it
9.8field-weighted citation impact, top 1% 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

79 citing papers in PubMed, 5 syntheses or guidelines pooled it, 117 citations in OpenAlex.

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19 more citing papers are in PubMed but not listed here.

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

9 authors at 3 institutions in 2 countries.

Jamie BurgessDiabetes & Endocrinology Research, Institute of Cardiovascular and Metabolic Medicine and The Pain Research Institute, University of Liverpool and Liverpool University NHS Hospital Trust, Liverpool L69 7ZX, UK.ORCID 0000-0002-7165-6918
Bernhard FrankThe Walton Centre, Department of Pain Medicine, Liverpool L9 7LJ, UK.
Andrew MarshallDepartment of Musculoskeletal & Ageing Science, Faculty of Health & Life Sciences, Institute of Life Course & Medical Sciences, University of Liverpool, Liverpool L7 8TX, UK.
Rashaad S KhalilDiabetes & Endocrinology Research, Institute of Cardiovascular and Metabolic Medicine and The Pain Research Institute, University of Liverpool and Liverpool University NHS Hospital Trust, Liverpool L69 7ZX, UK.
Georgios PonirakisWeill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha P.O. Box 24144, Qatar.ORCID 0000-0002-6936-1248
Ioannis N PetropoulosWeill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha P.O. Box 24144, Qatar.
Daniel J CuthbertsonDiabetes & Endocrinology Research, Institute of Cardiovascular and Metabolic Medicine and The Pain Research Institute, University of Liverpool and Liverpool University NHS Hospital Trust, Liverpool L69 7ZX, UK.ORCID 0000-0002-6128-0822
Rayaz A MalikWeill Cornell Medicine-Qatar, Qatar Foundation, Education City, Doha P.O. Box 24144, Qatar.ORCID 0000-0002-7188-8903
Uazman AlamDiabetes & Endocrinology Research, Institute of Cardiovascular and Metabolic Medicine and The Pain Research Institute, University of Liverpool and Liverpool University NHS Hospital Trust, Liverpool L69 7ZX, UK.
University of Liverpool · GBWeill Cornell Medical College in Qatar · QAUniversity of Manchester · GB

Funding

University of Liverpool 100653188
6 · The paper itself

Abstract

Diabetic peripheral neuropathy (DPN) is the most common complication of both type 1 and 2 diabetes. As a result, neuropathic pain, diabetic foot ulcers and lower-limb amputations impact drastically on quality of life, contributing to the individual, societal, financial and healthcare burden of diabetes. DPN is diagnosed at a late, often pre-ulcerative stage due to a lack of early systematic screening and the endorsement of monofilament testing which identifies advanced neuropathy only. Compared to the success of the diabetic eye and kidney screening programmes there is clearly an unmet need for an objective reliable biomarker for the detection of early DPN. This article critically appraises research and clinical methods for the diagnosis or screening of early DPN. In brief, functional measures are subjective and are difficult to implement due to technical complexity. Moreover, skin biopsy is invasive, expensive and lacks diagnostic laboratory capacity. Indeed, point-of-care nerve conduction tests are convenient and easy to implement however questions are raised regarding their suitability for use in screening due to the lack of small nerve fibre evaluation. Corneal confocal microscopy (CCM) is a rapid, non-invasive, and reproducible technique to quantify small nerve fibre damage and repair which can be conducted alongside retinopathy screening. CCM identifies early sub-clinical DPN, predicts the development and allows staging of DPN severity. Automated quantification of CCM with AI has enabled enhanced unbiased quantification of small nerve fibres and potentially early diagnosis of DPN. Improved screening tools will prevent and reduce the burden of foot ulceration and amputations with the primary aim of reducing the prevalence of this common microvascular complication.

Indexed as

diabetesdiabetic neuropathydiabetic peripheral neuropathydiagnosticsdistal sensory polyneuropathyearly detectionneuropathyperipheral neuropathypoint-of-carescreening

Identifiers

PMID33498918
PMCPMC7911433
OpenAlexW3121817682

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.