Evidence map›Paper›PMID 25690405›Full record

Trial reportJournal of diabetes and its complications2015

Clinical neuropathy scales in neuropathy associated with impaired glucose tolerance.

Lindsay A Zilliox, Sandra K Ruby, Sujal Singh, Min Zhan, James W Russell

Registry-linked trialOpen access · greenAbstract readClinical Trial
In one paragraph

Trial report in Journal of diabetes and its complications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07255573 (Diagnostic Accuracy of The Water Immersion Wrinkle Test for the Diagnosis of Small Fiber Neuropathy), which is not on this map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
4.9field-weighted citation impact, top 5% 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.

NCT07255573 completednot on this mapstarted 2024, after this paper: background citation

Diagnostic Accuracy of The Water Immersion Wrinkle Test for the Diagnosis of Small Fiber Neuropathy

TypeobservationalSponsorHOSPITAL BRITANICO DE BUENOS AIRESRan2024 to 2025Enrolled38ConditionsSmall-Fiber Neuropathy, Dysautonomia
3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 84 citations in OpenAlex.

  1. American Association of Clinical Endocrinology Clinical Practice Guideline: Developing a Diabetes Mellitus Comprehensive Care Plan-2022 Update.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2022
    Guideline
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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

5 authors at 1 institution in 1 country.

Lindsay A ZillioxDepartment of Neurology, Maryland VA Healthcare System and University of Maryland, Baltimore, MD, USA.
Sandra K RubyDepartment of Neurology, Maryland VA Healthcare System and University of Maryland, Baltimore, MD, USA.
Sujal SinghDepartment of Neurology, Maryland VA Healthcare System and University of Maryland, Baltimore, MD, USA.
Min ZhanDepartment of Neurology, Maryland VA Healthcare System and University of Maryland, Baltimore, MD, USA.
James W RussellDepartment of Neurology, Maryland VA Healthcare System and University of Maryland, Baltimore, MD, USA. Electronic address: JRussell@som.umaryland.edu.
University of Maryland, Baltimore · US

Funding

Research BaseP30DK072488 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI MITCHELL, BRAXTON D · 2005 to 2019
$17.3M
Development and Validation of a Self-Efficacy Item BankU01AR057967 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI SHULMAN, LISA M. · 2009 to 2012
$2.5M
Improving Autonomic Function and Balance in Diabetic NeuropathyI01RX001030 · VA · BALTIMORE VA MEDICAL CENTER · PI RUSSELL, JAMES W · 2015 to 2017
–
NIAMS NIH HHS U01 AR057967NIDDK NIH HHS P30 DK072488RRD VA I01 RX001030
6 · The paper itself

Abstract

aimsDisagreement exists on effective and sensitive outcome measures in neuropathy associated with impaired glucose tolerance (IGT). Nerve conduction studies and skin biopsies are costly, invasive and may have their problems with reproducibility and clinical applicability. A clinical measure of neuropathy that has sufficient sensitivity and correlates to invasive measures would enable significant future research.

methodsData was collected prospectively on patients with IGT and symptomatic early neuropathy (neuropathy symptoms <2years) and normal controls. The seven scales that were examined were the Neuropathy Impairment Score of the Lower Limb (NIS-LL), Michigan Diabetic Neuropathy Score (MNDS), modified Toronto Clinical Neuropathy Scale (mTCNS), Total Neuropathy Score (Clinical) (TNSc), The Utah Early Neuropathy Scale (UENS), the Early Neuropathy Score (ENS), and the Neuropathy Disability Score (NDS).

resultsAll seven clinical scales were determined to be excellent in discriminating between patients with neuropathy from controls without neuropathy. The strongest discrimination was seen with the mTCNS. The best sensitivity and specificity for the range of scores obtained, as determined by using receiver operating characteristic curves, was seen for the mTCNS followed by the TNSc. Most scales show a stronger correlation with measures of large rather than small fiber neuropathy.

conclusionsAll seven scales identify patients with neuropathy. For the purpose of screening potential patients for a clinical study, the mTCNS followed by the TNSc would be most helpful to select patients with neuropathy.

Indexed as

AgedArea Under CurveDiabetes Mellitus, Type 2Diabetic NeuropathiesDiagnostic Techniques, NeurologicalFemaleGlucose IntoleranceHumansMaleMiddle AgedPeripheral Nervous System DiseasesReproducibility of ResultsResearch DesignSensitivity and SpecificityClinical scalesDiabetesImpaired glucose regulationNeuropathyScreening tools

Identifiers

PMID25690405
PMCPMC4558101
OpenAlexW1977381510

What OpenQuestion holds

Textmetadata
LicenceTDM
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.