Evidence map›Paper›PMID 29414409›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2018

Better diagnostic accuracy of neuropathy in obesity: A new challenge for neurologists.

Brian C Callaghan, Rong Xia, Evan Reynolds, Mousumi Banerjee, Charles Burant, Amy Rothberg, Rodica Pop-Busui, Emily Villegas-Umana, Eva L Feldman

Abstract read
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
2.9field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Sudomotor function testing by electrochemical skin conductance: does it really measure sudomotor function?Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    Pooled it
  4. Trial
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  9. Review
  10. Article
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  12. Regression Trees and Ensemble for Multivariate Outcomes.Sankhya. Series B. [Methodological.] · 2023
    Article
  13. Review
  14. Review
  15. Serum lipidomic determinants of human diabetic neuropathy in type 2 diabetes.Annals of clinical and translational neurology · 2022
    Article
  16. Review
  17. Article
  18. Small Fiber Neuropathy in Diabetes Polyneuropathy: Is It Time to Change?Journal of diabetes science and technology · 2022
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Brian C CallaghanDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA. Electronic address: bcallagh@med.umich.edu.
Rong XiaSchool of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: rongxia@umich.edu.
Evan ReynoldsSchool of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: evanlr@umich.edu.
Mousumi BanerjeeSchool of Public Health, University of Michigan, Ann Arbor, MI, USA. Electronic address: mousumib@umich.edu.
Charles BurantDivision of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI, USA. Electronic address: burantc@med.umich.edu.
Amy RothbergDivision of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI, USA. Electronic address: arothber@med.umich.edu.
Rodica Pop-BusuiDivision of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor, MI, USA. Electronic address: rpbusui@med.umich.edu.
Emily Villegas-UmanaDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA. Electronic address: ligonemi@med.umich.edu.
Eva L FeldmanDepartment of Neurology, University of Michigan, Ann Arbor, MI, USA. Electronic address: efeldman@med.umich.edu.
University of Michigan–Ann Arbor · US

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
PERL: A multicenter clinical trial of allopurinol to prevent GFR loss in T1DUC4DK101108 · NIDDK · JOSLIN DIABETES CENTER · PI DORIA, ALESSANDRO, MAUER, S. MICHAEL · 2013 to 2018
$31.6M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
Integrated Systems Biology Approach to Diabetic Microvascular ComplicationsR24DK082841 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ABCOUWER, STEVEN F, BROSIUS, FRANK C · 2008 to 2020
$13.1M
Institutional Career Development CoreKL2TR002241 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ELLINGROD, VICKI L · 2017 to 2021
$6.9M
Targeting Inflammation with Salsalate as a Novel Therapy for Diabetic NeuropathyR01DK107956 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BUSUI (POP-BUSUI), RODICA, FELDMAN, EVA LUCILLE · 2016 to 2020
$3.0M
Michigan Institute for Clinical and Health Research (MCHR)KL2TR000434 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$1.7M
The Impact of the Metabolic Syndrome on NeuropathyK23NS079417 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CALLAGHAN, BRIAN CHRISTOPHER · 2013 to 2017
$939k
NCATS NIH HHS KL2 TR000434NCATS NIH HHS KL2 TR002241NCATS NIH HHS UL1 TR000433NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK107956NIDDK NIH HHS R24 DK082841NIDDK NIH HHS UC4 DK101108NINDS NIH HHS K23 NS079417
6 · The paper itself

Abstract

objectiveTo determine the comparative diagnostic characteristics of neuropathy measures in an obese population.

methodsWe recruited obese participants from the University of Michigan's Weight Management Program. Receiver operative characteristic analysis determined the area under the curve (AUC) of neuropathy measures for distal symmetric polyneuropathy (DSP), small fiber neuropathy (SFN), and cardiovascular autonomic neuropathy (CAN). The best test combinations were determined using stepwise and Score subset selection models.

resultsWe enrolled 120 obese participants. For DSP, seven of 42 neuropathy measures (Utah Early Neuropathy Score (UENS, N = 62), Michigan Neuropathy Screening Instrument (MNSI) reduced combined index, MNSI examination, nerve fiber density (NFD) leg, tibial F response, MNSI questionnaire, peroneal distal motor latency) had AUCs ≥ 0.75. Three of 19 small fiber nerve measures for SFN (UENS, NFD leg, Sudoscan feet (N = 70)) and zero of 16 CAN measures had AUCs ≥ 0.75. Combinations of tests performed better than individual tests with AUCs of 0.82 for DSP (two parameters) and 0.84 for SFN (three parameters).

conclusionsMany neuropathy measures demonstrate good test performance for DSP in obese participants. Select few small fiber nerve measures performed well for SFN, and none for CAN. SIGNIFICANCE: Specific combinations of tests should be used for research studies to maximize diagnostic performance in obese cohorts.

Indexed as

AdultAutonomic Nervous System DiseasesCardiovascular DiseasesElectrodiagnosisFemaleHumansMaleMiddle AgedNeurologic ExaminationObesityPolyneuropathiesSensitivity and SpecificitySeverity of Illness IndexSmall Fiber NeuropathyCardiovascular autonomic neuropathyDiagnostic testsDistal symmetric polyneuropathyObesitySmall fiber neuropathy

Identifiers

PMID29414409
PMCPMC5808853
OpenAlexW2783587072

What OpenQuestion holds

Textmetadata
LicenceTDM
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.