The contribution of unrecognized factors to the diabetes epidemic

The clinical effectiveness and safety of alprostadil combined with alpha lipoic acid in the treatment of diabetic peripheral neuropathy: A protocol for systematic review and meta-analysis

BACKGROUND

The pathogenesis of diabetic peripheral neuropathy is more complex and it is not yet clear, but studies have shown that microangiopathy and oxidative stress responses are closely related to their pathogenesis. At present, the treatment of improving microcirculation and antioxidant stress is mainly used in clinical. Alprostadil is a commonly used vasodilator, and alpha lipoic acid is an antioxidant, which can effectively reduce oxidative stress responses and delay the progression of diabetes mellitus and its complications. However, there is a lack of evidence-based medical evidence for alprostadil combined with alpha lipoic acid in the treatment of diabetic peripheral neuropathy, and this article aims to understand the clinical effectiveness and safety of alprostadil combined with alpha lipoic acid in the treatment of diabetic peripheral neuropath by a meta-analysis of published randomized controlled trials.

METHODS

In this study, we obtain the relevant literature by retrieving 8 electronic databases, including PubMed, EMBASE, Web of Science, the Cochrane Library, CBM, CNKI, VIP, and WanFang Database. Retrieving a randomized controlled study of alprostadil combined with alpha lipoic acid in the treatment of diabetic peripheral neuropath, while the language of the literature is restricted and it only includes Chinese and English literature. For the publication of literature, the time is from the beginning of the database to August 31, 2020. In the English database, using the retrieval method of subject word combined free word. The two researchers read the titles and abstracts of all the literature independently based on the inclusion and exclusion criteria. If it cannot be determined whether the literature is included by reading the title and abstract, then download and read the full text of the literature. If there is a dispute between the two researchers about the literature, so it should discuss the dispute with the third researcher in order to reach a conclusion. Using the bias risk assessment tool of randomized controlled trials in Cochrane systematic review to evaluate the bias risk of the included literature; Using RevMan 5.3 software to conduct statistical analysis; Using funnel plot analysis to analyze the situation of literature publication bias.

RESULTS

This study will provide a high-quality evidence on the effects of hydrolyzed protein formula milk on gastrointestinal diseases and physical development of premature infants.

CONCLUSION

This study will draw reliable evidence-based medical evidence for alprostadil combined with Alpha lipoic acid in the treatment of diabetic peripheral neuropathy, thus providing help for the clinical treatment of diabetic peripheral neuropathy.

REGISTRATION NUMBER

Open Science Framework (OSF), registration number: DOI 10.17605/OSF.IO/7S46G.

Review of methods for detecting glycemic disorders

Prediabetes (intermediate hyperglycemia) consists of two abnormalities, impaired fasting glucose (IFG) and impaired glucose tolerance (IGT) detected by a standardized 75-gram oral glucose tolerance test (OGTT). Individuals with isolated IGT or combined IFG and IGT have increased risk for developing type 2 diabetes (T2D) and cardiovascular disease (CVD). Diagnosing prediabetes early and accurately is critical in order to refer high-risk individuals for intensive lifestyle modification. However, there is currently no international consensus for diagnosing prediabetes with HbA1c or glucose measurements based upon American Diabetes Association (ADA) and the World Health Organization (WHO) criteria that identify different populations at risk for progressing to diabetes. Various caveats affecting the accuracy of interpreting the HbA1c including genetics complicate this further. This review describes established methods for detecting glucose disorders based upon glucose and HbA1c parameters as well as novel approaches including the 1-hour plasma glucose (1-h PG), glucose challenge test (GCT), shape of the glucose curve, genetics, continuous glucose monitoring (CGM), measures of insulin secretion and sensitivity, metabolomics, and ancillary tools such as fructosamine, glycated albumin (GA), 1,5- anhydroglucitol (1,5-AG). Of the approaches considered, the 1-h PG has considerable potential as a biomarker for detecting glucose disorders if confirmed by additional data including health economic analysis. Whether the 1-h OGTT is superior to genetics and omics in providing greater precision for individualized treatment requires further investigation. These methods will need to demonstrate substantially superiority to simpler tools for detecting glucose disorders to justify their cost and complexity.