Evidence map›Paper›PMID 38225901›Full record

ArticleJournal of diabetes2024

Estimated glucose disposal rate predicts the risk of diabetic peripheral neuropathy in type 2 diabetes: A 5-year follow-up study.

Yuanpin Zhang, Wanwan Sun, Qi Zhang, Yuetian Bai, Lijin Ji, Hangping Zheng, Xiaoming Zhu, Xiaoxia Liu, Shuo Zhang, Qian Xiong and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Yuanpin ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Wanwan SunDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Qi ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Yuetian BaiDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Lijin JiDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Hangping ZhengDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Xiaoming ZhuDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Xiaoxia LiuDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0003-2812-1894
Shuo ZhangDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-7446-0435
Qian XiongDepartment of Endocrinology, Shanghai Gonghui Hospital, Shanghai, China.
Yiming LiDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.
Lili ChenDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-1800-4662
Bin LuDepartment of Endocrinology and Metabolism, Huashan Hospital Fudan University, Shanghai, China.ORCID https://orcid.org/0000-0002-3744-5041
Fudan University · CNSecond Military Medical University · CN

Funding

Initial funding of Huashan Hospital 2021QD023Ministry of Science and Technology Program 2017ZX09304005National Natural Science Foundation of China 81770807National Natural Science Foundation of China 81800692Shanghai General Hospital Program of Chinese traditional and Western medicine combination ZY(2018-2020)-FWTX-1002Shanghai Municipal Commission of Health and Family Planning Clinical Research Project 20184Y0318Shanghai Science and Technology Committee Program 17411961500Shanghai Talent Development Fund Program 2018054
6 · The paper itself

Abstract

backgroundInsulin resistance is associated with chronic complications of diabetes, including diabetic peripheral neuropathy (DPN). Estimated glucose disposal rate (eGDR), calculated by the common available clinical factors, was proved to be an excellent tool to measure insulin resistance in large patient population. Few studies have explored the association between eGDR and DPN longitudinally. Therefore, we performed the current study to analyze whether eGDR could predict the risk of DPN.

methodsIn this prospective study, 366 type 2 diabetes (T2DM) subjects without DPN were enrolled from six communities in Shanghai in 2011-2014 and followed up until 2019-2020. Neuropathy was assessed by Michigan Neuropathy Screening Instrument (MSNI) at baseline and at the end of follow-up.

findingsAfter 5.91 years, 198 of 366 participants progressed to DPN according to MNSI examination scores. The incidence of DPN in the low baseline eGDR (eGDR < 9.15) group was significantly higher than in the high baseline eGDR (eGDR ≥ 9.15) group (62.37% vs. 45.56%, p = .0013). The incidence of DPN was significantly higher in patients with sustained lower eGDR level (63.69%) compared with those with sustained higher eGDR level (35.80%). Subjects with low baseline eGDR (eGDR < 9.15) had significantly higher risk of DPN at the end of follow-up (odds ratio = 1.75), even after adjusting for other known DPN risk factors.

conclusionsThe 5-year follow-up study highlights the importance of insulin resistance represented by eGDR in the development of DPN in T2DM. Diabetic patients with low eGDR are more prone to DPN and, therefore, require more intensive screening and more attention.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Diabetic NeuropathiesInsulin ResistanceAdultAgedChinaFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPrognosisProspective StudiesRisk FactorsBlood Glucosediabetic peripheral neuropathyestimated glucose disposal rateinsulin resistanceMichigan neuropathy screening instrumenttype 2 diabetes

Identifiers

PMID38225901
PMCPMC11045912
OpenAlexW4390915333

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.