Evidence map›Paper›PMID 20805259›Full record

ArticleDiabetes care2010

Diabetic neuropathy: a cross-sectional study of the relationships among tests of neurophysiology.

Christopher H Gibbons, Roy Freeman, Aristidis Veves

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Diabetes care, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05099367 (Prostacyclin), which is not on this map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.6field-weighted citation impact, top 11% 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.

NCT05099367 naunknown statusnot on this mapstarted 2021, after this paper: background citation

Prostacyclin (PGI2) Pathway to Enhance Wound Healing in Diabetic Foot Ulcers

TypeinterventionalSponsorUniversity Hospital, GrenobleRan2021 to 2025Enrolled60ConditionsDiabetes Mellitus, Type 2, Diabetic FootArmsMicrodialysis, current induced vasodilation, Skin biopsy, peri-ulcerated skin biopsy
3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 57 citations in OpenAlex.

  1. Laser Doppler imaging in the detection of peripheral neuropathy.Autonomic neuroscience : basic & clinical · 2013
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  18. Cardiovagal and somatic sensory nerve functions in healthy subjects.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2015
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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

3 authors at 1 institution in 1 country.

Christopher H GibbonsDepartment of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Roy Freeman
Aristidis Veves
Beth Israel Deaconess Medical Center · US

Funding

Natural History of Peripheral Diabetic NeuropathyR01NS046710 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI VEVES, ARISTIDIS · 2005 to 2009
$1.9M
Structure & Function in Diabetic Small Fiber NeuropathyK23NS050209 · NINDS · BETH ISRAEL DEACONESS MEDICAL CENTER · PI GIBBONS, CHRISTOPHER H · 2008 to 2012
$853k
NINDS NIH HHS K23 NS050209NINDS NIH HHS K23-NS-50209NINDS NIH HHS R01 NS046710NINDS NIH HHS R01-NS-046710
6 · The paper itself

Abstract

objectiveTo determine the relationships among large, small, and autonomic fiber neurophysiological measures in a cross-sectional study of patients with diabetes. RESEARCH DESIGN AND

methodsWe assessed 130 individuals: 25 healthy subjects and 105 subjects with diabetes. Subjects were classified by the presence or absence of neuropathy by physical examination. All subjects underwent autonomic testing, nerve conduction studies, quantitative sensory testing, and nerve-axon reflex vasodilation in addition to quantifiable neurological examination and symptom scores. Correlation and cluster analysis were used to determine relationships between and among different neurophysiological testing parameters.

resultsResults of neurophysiological tests were abnormal in patients with clinical evidence of diabetic neuropathy compared with results in healthy control subjects and in those without neuropathy (P < 0.01, all tests). The correlations among individual tests varied widely, both within (r range <0.5->0.9, NS to <0.001) and between test groups (r range <0.2->0.5, NS to <0.01). A two-step hierarchical cluster analysis revealed that neurophysiological tests do not aggregate by typical "small," "large," or "autonomic" nerve fiber subtypes.

conclusionsThe modest correlation coefficients seen between the different testing modalities suggest that these techniques measure different neurophysiological parameters and are therefore not interchangeable. However, the data suggest that only a small number of neurophysiological tests are actually required to clinically differentiate individuals with neuropathy from those without. The natural clustering of both patients and healthy control subjects suggests that variations in the population will need to be considered in future studies of diabetic neuropathy.

Indexed as

NeurophysiologyAdultCross-Sectional StudiesDiabetic NeuropathiesFemaleHumansLaser-Doppler FlowmetryMaleMiddle Aged

Identifiers

PMID20805259
PMCPMC2992203
OpenAlexW2028973064

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.