Evidence map›Paper›PMID 28810595›Full record

ArticleExperimental and therapeutic medicine2017

SUDOSCAN, an effective tool for screening chronic kidney disease in patients with type 2 diabetes.

Fei Mao, Siying Liu, Xiaona Qiao, Hangping Zheng, Qian Xiong, Jie Wen, Shuo Zhang, Zhaoyun Zhang, Hongying Ye, Hongli Shi and 2 more

Abstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

11 citing papers in PubMed, 1 synthesis or guideline 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. Trial
  3. Article
  4. Article
  5. SudoscanJournal of diabetes and metabolic disorders · 2025
    Article
  6. Article
  7. Review
  8. Validation of the Body ScanFrontiers in neurology · 2023
    Article
  9. 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
  10. Article
  11. Assessment of sudomotor function.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2019
    Review
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

12 authors.

Fei MaoDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Siying LiuDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Xiaona QiaoDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Hangping ZhengDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Qian XiongDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Jie WenDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Shuo ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Zhaoyun ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Hongying YeDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Hongli ShiDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Bin LuDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.
Yiming LiDepartment of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200040, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SUDOSCAN is a non-invasive method of measuring peripheral small fiber and autonomic nerve activity by detection of abnormal sweat gland function through electrochemical skin conductance. It has been reported to be an effective screening tool in early detection of microvascular type 2 diabetes mellitus (T2DM) complications including diabetic neuropathy and nephropathy in recent studies. However, previous studies used estimated glomerular filtration rate (eGFR) as the golden standard, which has a 90% chance of being within 30% of the measured GFR at best. No relevant study has been performed in the Chinese population concerning SUDOSCAN in the screening of diabetic nephropathy (DN) in comparison with GFR. In this cross-sectional study, SUDOSCAN was performed in 176 Chinese patients with T2DM between September 2014 and September 2015. It was found that the SUDOSCAN test had a sensitivity of 57.8% and a specificity of 100% to detect chronic kidney disease at a cut-off SUDOSCAN-DN score of 59.5. The area under receiver operating characteristic curve for DN was 0.85 [95% confidence interval (CI), 0.76-0.93] compared with 0.84 for eGFR

Indexed as

diabetic nephropathymodification of diet in renal diseasescreeningSUDOSCANtype 2 diabetes mellitus

Identifiers

PMID28810595
PMCPMC5525651

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Registered trials

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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.