Evidence map›Paper›PMID 32885597›Full record

ArticleJournal of diabetes investigation2021

Association of time in range, as assessed by continuous glucose monitoring, with painful diabetic polyneuropathy.

Junpeng Yang, Xueli Yang, Dongni Zhao, Xiaobing Wang, Wei Wei, Huijuan Yuan

Abstract read
In one paragraph

Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  17. Diabetic Peripheral Neuropathy and Glycemia Risk Index in Type 2 Diabetes: A Cross-Sectional Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
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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

6 authors.

Junpeng YangDepartment of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0000-0003-0902-1716
Xueli YangDepartment of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Dongni ZhaoDepartment of Finance, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Xiaobing WangDepartment of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Wei WeiDepartment of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.
Huijuan YuanDepartment of Endocrinology, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China.ORCID https://orcid.org/0000-0002-0486-0994

Funding

Central Plains Thousand Talents Plan 204200510026National Natural Science Foundation of China 81970705the Overseas Research and Study Program for Talents in Health Science and Technology of Henan Province 2018078the Overseas Research and Study Program for Talents in Health Science and Technology of Henan Province 2018098
6 · The paper itself

Abstract

AIMS/

introductionThis study aimed to evaluate the association between time in range (TIR) obtained from continuous glucose monitoring and the prevalence and degree of painful diabetic neuropathy. MATERIALS AND

methodsA total of 364 individuals with diabetic peripheral neuropathy were enrolled in this study. Sensor-based flash glucose monitoring systems were used to monitor the participants' glucose levels, and the glycemic variability metrics were calculated, including the TIR, glucose coefficient of variation, standard deviation and the mean amplitude of glycemic excursions. The participants were asked to record any form of pain during the 2 weeks of monitoring, and score the pain every day on a numerical rating scale. Based on the numerical rating scale, the patients were divided into the pain-free group, mild pain group and moderate/severe pain group.

resultsOverall, 51.92% (189/364) of the participants were diagnosed with painful diabetic neuropathy. Compared with the pain-free group, the level of TIR decreased significantly in the mild pain and moderate/severe pain groups (P < 0.05). The prevalence of mild pain and moderate/severe pain decreased with increasing TIR quartiles (all P < 0.05). Multiple linear regression analysis showed that TIR was significantly negatively correlated with the numerical rating scale score after adjustment for glycated hemoglobin, glycemic variability indicators and other risk factors (P < 0.05). Logistic regression analysis showed that a decreasing level of TIR was significantly associated with an increasing risk of any pain and moderate/severe pain (P < 0.05).

conclusionsTIR is correlated with painful diabetic neuropathy and is underscored as a valuable clinical evaluation measure.

Indexed as

Severity of Illness IndexTime FactorsAdultBlood GlucoseBlood Glucose Self-MonitoringCross-Sectional StudiesDiabetic NeuropathiesFemaleGlycated HemoglobinGlycemic ControlHumansMaleMiddle AgedNeuralgiaPain MeasurementPrevalenceBlood GlucoseGlycated HemoglobinContinuous glucose monitoringPainful diabetic neuropathyTime in range

Identifiers

PMID32885597
PMCPMC8089011

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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.