Evidence map›Paper›PMID 26270544›Full record

ArticlePloS one2015

The Clinical Utility of SUDOSCAN in Chronic Kidney Disease in Chinese Patients with Type 2 Diabetes.

Andrea O Y Luk, Wai-Chi Fu, Xue Li, Risa Ozaki, Harriet H Y Chung, Rebecca Y M Wong, Wing-Yee So, Francis C C Chow, Juliana C N Chan

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. 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
  2. Electrochemical skin conductance: a systematic review.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    Pooled it
  3. SudoscanJournal of diabetes and metabolic disorders · 2025
    Article
  4. Article
  5. Article
  6. Validation of the Body ScanFrontiers in neurology · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Electrochemical skin conductance by Sudoscan®: a new tool to predict intradialytic hypotension.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021
    Article
  11. Sudomotor dysfunction independently predicts incident cardiovascular-renal events and all-cause death in type 2 diabetes: the Joint Asia Diabetes Evaluation register.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Association of sudomotor function with peripheral artery disease in type 2 diabetes.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2017
    Article
  18. Article
  19. 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

9 authors.

Andrea O Y LukAsia Diabetes Foundation, Prince of Wales Hospital, Hong Kong, SAR; Hong Kong Institute of Diabetes and Obesity, Prince of Wales Hospital, Hong Kong, SAR; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.
Wai-Chi FuAsia Diabetes Foundation, Prince of Wales Hospital, Hong Kong, SAR.
Xue LiAsia Diabetes Foundation, Prince of Wales Hospital, Hong Kong, SAR.
Risa OzakiHong Kong Institute of Diabetes and Obesity, Prince of Wales Hospital, Hong Kong, SAR; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.
Harriet H Y ChungHong Kong Institute of Diabetes and Obesity, Prince of Wales Hospital, Hong Kong, SAR.
Rebecca Y M WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.
Wing-Yee SoDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.
Francis C C ChowDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.
Juliana C N ChanAsia Diabetes Foundation, Prince of Wales Hospital, Hong Kong, SAR; Hong Kong Institute of Diabetes and Obesity, Prince of Wales Hospital, Hong Kong, SAR; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, SAR; International Diabetes Centre of Education, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, SAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are gaps between recommendations on regular screening for diabetic kidney disease (DKD) and clinical practice especially in busy and low resource settings. SUDOSCAN (Impeto Medical, Paris, France) is a non-invasive technology for assessing sudomotor function using reverse iontophoresis and chronoamperometry which detects abnormal sweat gland function. Vasculopathy and neuropathy share common risk factors and we hypothesized that SUDOSCAN may be used to detect chronic kidney disease (CKD). Between 2012 and 2013, SUDOSCAN was performed in a consecutive cohort of 2833 Hong Kong Chinese adults with type 2 diabetes. Chronic kidney disease was defined as estimated glomerular filtration rate <60 ml/min/1.73m2. In this cross-sectional cohort (mean age 58.6±9.5 years, 55.7% male, median disease duration 8 [interquartile range 3-14] years), 5.8% had CKD. At a cut-off SUDOSCAN-DKD score of 53, the test had sensitivity of 76.7%, specificity of 63.4% and positive likelihood ratio of 2.1 to detect CKD. The area under receiver operating characteristic curve for CKD was 0.75 (95% confidence interval 0.72-0.79). Patients without CKD but low score had worse risk factors and complications than those with high score. We conclude that SUDOSCAN may be used to detect patients at risk of impaired renal function as part of a screening program in Chinese population, especially in outreach or low resource settings.

Indexed as

AgedArea Under CurveChinaCross-Sectional StudiesDiabetes Mellitus, Type 2Diabetic NephropathiesEarly DiagnosisFemaleGalvanic Skin ResponseHumansMaleMiddle AgedRenal Insufficiency, ChronicROC CurveSweat Glands

Identifiers

PMID26270544
PMCPMC4535976

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.