Evidence map›Paper›PMID 36236669›Full record

ArticleSensors (Basel, Switzerland)2022

SUDOSCAN, an Innovative, Simple and Non-Invasive Medical Device for Assessing Sudomotor Function.

Dana Elena Gavan, Alexandru Gavan, Cosmina Ioana Bondor, Bogdan Florea, Frank Lee Bowling, Georgeta Victoria Inceu, Liora Colobatiu

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-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

15 citing papers in PubMed, 18 citations in OpenAlex.

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  4. Review
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  11. Validating the usefulness of Sudoscan in ATTRv: a single centre experience.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  12. Article
  13. Article
  14. Validation of the Body ScanFrontiers in neurology · 2023
    Article
  15. Article
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

7 authors at 2 institutions in 2 countries.

Dana Elena GavanClinic of Podiatry, 10 Iuliu Moldovan Street, 400348 Cluj-Napoca, Romania.
Alexandru GavanDepartment of Medical Devices, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, 4 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.ORCID 0000-0001-6722-4808
Cosmina Ioana BondorDepartment of Medical Informatics and Biostatistics, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 6 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.
Bogdan FloreaClinic of Podiatry, 10 Iuliu Moldovan Street, 400348 Cluj-Napoca, Romania.
Frank Lee BowlingFaculty of Medicine, University of Manchester, Oxford Road, Manchester M13 9PL, UK.
Georgeta Victoria InceuDepartment of Diabetes, Nutrition and Metabolical Diseases, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, 2-4 Clinicilor Street, 400006 Cluj-Napoca, Romania.ORCID 0000-0002-1624-6916
Liora ColobatiuDepartment of Medical Devices, Faculty of Pharmacy, Iuliu Hatieganu University of Medicine and Pharmacy, 4 Louis Pasteur Street, 400349 Cluj-Napoca, Romania.ORCID 0000-0003-1577-4861
Iuliu Hațieganu University of Medicine and Pharmacy · ROUniversity of Manchester · GB

Funding

Executive Agency for Higher Education, Research, Development and Innovation Funding, Romania PD 100/2020
6 · The paper itself

Abstract

Diabetic autonomic neuropathy is probably the most undiagnosed but serious complication of diabetes. The main objectives were to assess the prevalence of peripheral and autonomic neuropathy in a population of diabetic patients, analyze it in a real-life outpatient unit scenario and determine the feasibility of performing SUDOSCAN tests together with widely used tests for neuropathy. A total of 33 patients were included in the study. Different scoring systems (the Toronto Clinical Neuropathy Score-TCNS; the Neuropathy Disability Score-NDS; and the Neuropathy Symptom Score-NSS) were applied to record diabetic neuropathy (DN), while the SUDOSCAN medical device was used to assess sudomotor function, detect diabetic autonomic neuropathy and screen for cardiac autonomic neuropathy (CAN). Fifteen (45.5%) patients had sudomotor dysfunction. The SUDOSCAN CAN risk score was positively correlated with the hands' electrochemical sweat conductance (ESC), diastolic blood pressure (DBP), the level of the glycated hemoglobin, as well as with the TCNS, NDS and NSS. Performing SUDOSCAN tests together with other tests for DN proved to be a feasible approach that could be used in daily clinical practice in order to screen for DN, as well as for the early screening of CAN, before more complex and time-consuming tests.

Indexed as

Diabetic NeuropathiesAutonomic Nervous SystemGalvanic Skin ResponseGlycated HemoglobinHumansGlycated Hemoglobincardiac autonomic neuropathydiabetes mellitusmedical devicesudomotor functionSUDOSCAN

Identifiers

PMID36236669
PMCPMC9573142
OpenAlexW4303981168

What OpenQuestion holds

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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.