Epidemiological characteristics and distribution of pediatric supracondylar fractures in South China: a retrospective analysis of 760 cases.

To evaluate demographic characteristics and distribution of pediatric supracondylar fractures (SCFs) at a tertiary hospital in South China. A retrospective observational study was conducted on children aged 15 years or younger with a diagnosis of SCFs during the period from January 2016 to December 2018. Patients' medical records and radiographs were retrospectively analyzed for age at the time of injury, sex, site and mechanism of traumatic injury. A total of 760 patients with 761 SCFs were reviewed (453 males, 59.6%, and 307 females, 40.4%). There were 748 extension-type fractures (98.3%) and 13 flexion-type fractures (1.7%). Associated injuries were identified in 30/760 (3.9%) patients: associated fracture ( n  = 15; 2%), nerve injury ( n  = 12; 1.6%), open fracture ( n  = 2; 0.2%) and compartment syndrome ( n  = 1; 0.1%). Age at the time of fracture has a bimodal pattern with a first peak around the age of 1 year and a second peak around the age of 4-5 years. The fractures occurred mostly around 11 a.m. and between 4 and 9 p.m. in the evening. Most fractures occurred at home (50.7%), and falling down (62.2%) was the most frequent mechanism of injury. SCFs occurred most frequently in children aged 1 and 4-5 years, and during daylight hours. In about 96% of cases, these were isolated injuries, and falling down was found to be the most frequent traumatic mechanism. Based on our findings, targeted educational efforts and interventions can be set up in order to prevent the occurrence of SCFs in South China. Level of evidence: III.

Acupuncture methods for diabetic peripheral neuropathy: A protocol for a Bayesian network meta-analysis.

BACKGROUND: Many clinical trials and systematic reviews have suggested that acupuncture (include moxibustion) could be effective in the treatment of diabetic peripheral neuropathy (DPN). However, clinical practices vary greatly leads to different choices which are mainly based on personal experience. The aim of this Bayesian network meta-analysis is to compare the efficacy of different acupuncture methods for DPN. METHODS: Randomized controlled trials on acupuncture treatment of DPN published before January of 2021 will be searched in 9 databases including Medline, Web of Science, PubMed, Cochrane Library, Excerpta Medica Database, Sinomed, China National Knowledge Infrastructure, WanFang, and China Science and Technology Journal Database. The methodological assessment performed using the risk of bias assessment tool of Cochrane, and the level of evidence quality for the main results will be evaluated by a recommended grading, evaluation, formulation, and evaluation system approach. Bayesian network meta-analysis will be conducted using STATA V.14.0 and WinBUGS V.1.4.3. RESULTS: The primary outcome involves: clinical efficacy. The secondary outcomes include: motor nerve conduction velocity, sensory nerve conduction velocity, Toronto clinical scoring system, Michigan neuropathy screening instrument, the modified Toronto Clinical Neuropathy Scale, the Utah early neuropathy scale, or the neuropathy disability score, and adverse reactions. CONCLUSION: To find the most effective acupuncture therapy for the treatment of DPN supported by evidence-based medicine.