Faculty of Life Sciences and Medicine, King's College London, London, UK
Department of Ophthalmology, King's College Hospital NHS Foundation Trust, London, UK.
BMJ Open Diabetes Res Care. 2021 May;9(1). doi: 10.1136/bmjdrc-2020-002040.
There is growing evidence of excess peripheral neuropathy in pre-diabetes. We aimed to determine its prevalence, including the impact of diagnostic methodology on prevalence rates, through a systematic review conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. A comprehensive electronic bibliographic search was performed in MEDLINE, EMBASE, PubMed, Web of Science and the Cochrane Central Register of Controlled Trials from inception to June 1, 2020. Two reviewers independently selected studies, extracted data and assessed risk of bias. An evaluation was undertaken by method of neuropathy assessment. After screening 1784 abstracts and reviewing 84 full-text records, 29 studies (9351 participants) were included. There was a wide range of prevalence estimates (2%-77%, IQR: 6%-34%), but the majority of studies (n=21, 72%) reported a prevalence ≥10%. The three highest prevalence estimates of 77% (95% CI: 54% to 100%), 71% (95% CI: 55% to 88%) and 66% (95% CI: 53% to 78%) were reported using plantar thermography, multimodal quantitative sensory testing and nerve conduction tests, respectively. In general, studies evaluating small nerve fiber parameters yielded a higher prevalence of peripheral neuropathy. Due to a variety of study populations and methods of assessing neuropathy, there was marked heterogeneity in the prevalence estimates. Most studies reported a higher prevalence of peripheral neuropathy in pre-diabetes, primarily of a small nerve fiber origin, than would be expected in the background population. Given the marked rise in pre-diabetes, further consideration of targeting screening in this population is required. Development of risk-stratification tools may facilitate earlier interventions.
越来越多的证据表明,糖尿病前期患者外周神经病变发病率过高。我们旨在通过一项系统综述来确定其患病率,包括评估诊断方法对患病率的影响。该综述按照系统评价和荟萃分析的首选报告项目进行。我们在 MEDLINE、EMBASE、PubMed、Web of Science 和 Cochrane 对照试验中心注册库中进行了全面的电子文献检索,检索时间从建库至 2020 年 6 月 1 日。两名评审员独立选择研究、提取数据和评估偏倚风险。通过神经病评估方法进行评估。在筛选了 1784 篇摘要并查阅了 84 篇全文记录后,共纳入了 29 项研究(9351 名参与者)。患病率估计值差异很大(2%-77%,IQR:6%-34%),但大多数研究(n=21,72%)报告的患病率≥10%。使用足底热成像、多模态定量感觉测试和神经传导测试分别报告了 77%(95% CI:54%至 100%)、71%(95% CI:55%至 88%)和 66%(95% CI:53%至 78%)的三个最高患病率估计值。总的来说,评估小纤维神经参数的研究报告了更高的周围神经病变患病率。由于研究人群和神经病评估方法的多样性,患病率估计值存在显著异质性。大多数研究报告糖尿病前期患者的周围神经病变患病率较高,主要为小纤维神经起源,高于背景人群的预期患病率。鉴于糖尿病前期的发病率显著上升,需要进一步考虑在该人群中进行筛查。开发风险分层工具可能有助于早期干预。