Evidence map›Paper›PMID 31673971›Full record

ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2020

The Association Between Phosphorylated Neurofilament Heavy Chain (pNF-H) and Small Fiber Neuropathy (SFN) in Patients with Impaired Glucose Tolerance.

Yu-Peng Li, Zhong-Qing Yan, Li-Ping Han, Ai-Li Yin, Jin-Yong Xu, Ya-Ran Zhai, Sai Hao, Lin Zhang, Yun Xie

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Diabetic neuropathy: cutting-edge research and future directions.Signal transduction and targeted therapy · 2025
    Review
  3. Article
  4. Article
  5. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Yu-Peng LiTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China. dr_liyupeng@126.com.ORCID http://orcid.org/0000-0002-0994-5575
Zhong-Qing YanTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Li-Ping HanTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Ai-Li YinTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Jin-Yong XuTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Ya-Ran ZhaiTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Sai HaoTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Lin ZhangTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China.
Yun XieTianjin Medical University Metabolic Diseases Hospital & Tianjin Medical University Chu Hsien-I Memorial Hospital, Tianjin, China. xieyuntj@126.com.
Tianjin Medical University · CNTianjin Infectious Diseases Hospital · CN

Funding

Natural Science Foundation of Tianjin City 18JCQNJC79900Scientific Research Funding of Tianjin Medical University Chu Hsien-I Memorial Hospital 2016DX05Tianjin Medical University Science Grant 2016KYZM04
6 · The paper itself

Abstract

introductionSmall fiber neuropathy (SFN)-the early stage of diabetic peripheral neuropathy (DPN)-progresses gradually and is difficult to diagnose using neurophysiological tests. To facilitate the early diagnosis of SFN, biomarkers for SFN must be identified. The purpose of this study was to investigate the characteristics of SFN in prediabetic patients and the relationship between pNF-H and SFN.

methods44 IGT patients (inpatients and outpatients) were selected at random. 33 healthy subjects served as controls. Data on clinical characteristics and laboratory parameters were collected. Quantitative sensory testing (QST), electromyography (EMG), and Sudoscan were performed, and pNF-H was measured by ELISA.

results24 of the 44 patients with impaired glucose tolerance (IGT) were diagnosed with SFN according to the modified Toronto Diabetic Neuropathy Expert Group consensus criteria. The thermal sensory thresholds of the IGT-SFN group were significantly different from those of the CTRL group (p < 0.05), except for the heat pain threshold. The sensory nerve action potential (SNAP) of the sural nerve was 12.39 in the IGT-SFN group, which was significantly lower than those in the other groups. No significant difference in nerve conduction velocity (NCV) was observed among the three groups. The electrochemical skin conductance (ESC) in the IGT-SFN group was 69.78 ± 14.03uS, which was significantly lower than that in the CTRL group. The pNF-H in the IGT-SFN group was 170.6 (140.0, 223.6) pg/ml, which was significantly higher than those in the CTRL and IGT-non-SFN groups (76.55 and 64.7 pg/ml, respectively). Multivariate regression analysis demonstrated that pNF-H and 2h plasma glucose were independently correlated with SFN; the ORs (95% CI) were 1.429 (1.315, 1.924) and 2.375 (1.157, 4.837), respectively.

conclusionsSerum pNF-H may be associated with SFN in IGT patients, and serum pNF-H could therefore serve as a sensitive biomarker for the detection of SFN.

Indexed as

Diabetic peripheral neuropathyNerve conductionpNF-HQuantitative sensory testingSensory nerve functionSmall fiber neuropathy

Identifiers

PMID31673971
PMCPMC6965567
OpenAlexW2982524000

What OpenQuestion holds

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LicenceCC BY-NC
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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.