Beneficial Effects of Opuntia humifusa (Korean Cheonnyuncho) on Human Health Based on Antioxidant Properties: Systematic Review and Meta-Analysis.

In this study, a systematic review and meta-analysis are conducted to evaluate the medical applications of Opuntia humifusa (OH). A total of 171 articles are peer-reviewed; however, only 15 individual studies were included after the manual screening to eliminate unnecessary studies. A comparative standardized means difference (SMD) between the OH and control groups is used as a parameter to demonstrate the beneficial effects of OH for skin aging, cancer, and diabetes treatments based on its antioxidant activities. The OH treatment exhibits positive results in improving collagen synthesis and demonstrates that it is nontoxic to normal human cells without analytical heterogeneity (SMD = 1.18 [0.11, 2.26] and I2 = 0%). Moreover, the results confirm the effectiveness of OH treatment on downregulatory cancers in terms of decreased cancer cell proliferation and tumor weight and increased numbers of cancer cells in the apoptosis phase (pooled SMD = -1.17 [-1.72, -0.62]). However, this comparison does not yield a statistically significant result (I2 = 69%). Additionally, the OH treatment is found to reduce the symptoms of diabetes in diabetic rats, particularly by lowering glucose and triglyceride levels and increasing high-density lipoprotein cholesterol levels. This study suggests that OH extracts are helpful for the prevention of human diseases and might be potential candidates for future medicines.

Utilization of light-emitting diodes for skin therapy: Systematic review and meta-analysis.

This study investigates the dermatological as well as the esthetic potential of light-emitting diodes (LEDs) by performing a systematic review and meta-analysis. From the electronic databases, 554 articles were assessed; however, only 31 studies were selected after manually screening and eliminating unnecessary studies. The potential effectiveness of LEDs for skin therapies was assessed by evaluating the standardized mean differences (SMDs) and funnel plots of this meta-analysis. It was discovered that both red and blue LED lights play an important role in the treatment of acne vulgaris with an overall statistically significant SMD of -2.42 [-2.64, -2.15] and I2  = 17% < 50%. Additionally, other LEDs (e.g., yellow LEDs and near-infrared devices) showed outstanding levels of effectiveness, not only in reducing the lesions of herpes simplex and psoriasis but also in improved skin rejuvenation with highly consistent analytical results (I2  = 0% and 33%, respectively). However, the analysis of LED-based skin wound healing and atopic dermatitis treatments exhibited heterogeneity (I2  = 85% and 90%) due to the lack of unpublished articles. In conclusion, it is suggested that LEDs are useful for dermatology and could be potential candidates for future cosmetic applications.

Human Health Impacts of Residential Radon Exposure: Updated Systematic Review and Meta-Analysis of Case-Control Studies.

This study investigated the impact of residential radon exposure on human cancers (i.e., lung cancer and childhood leukemia) through a systematic review and meta-analysis of case−control studies. A total of 9724 articles obtained from electronic databases were assessed; however, only 55 case−control studies were eligible after manually screening and eliminating unnecessary studies. The causal associations were addressed by determining the meta-analysis's estimated size effects (i.e., ORs/RRs) of the meta-analysis. Residential radon was revealed to significantly increase the incidence of lung cancer and childhood leukemia with pooled ORs of 1.38 [1.19; 1.60] (I2 = 90%; p < 0.00001) and 1.43 [1.19; 1.72] (I2 = 0% and p = 0.51), respectively. In addition, subgroup analyses were performed to reduce the heterogeneity of the initial meta-analyses. The results provided strong evidence that inhaling radon in the indoor environments is closely associated with the development of lung cancer and childhood leukemia in patients living in Europe and areas with high radon levels (≥100 Bq/m3).

Particulate Matter Exposure of Passengers at Bus Stations: A Review.

This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting its distribution, and its health effects on passengers waiting at bus stations. The usual factors affecting the characteristics and composition of PM include industrial emissions and meteorological factors (temperature, humidity, wind speed, rain volume) as well as bus-station-related factors such as fuel combustion in vehicles, wear of vehicle components, cigarette smoking, and vehicle flow. Several studies have proven that bus stops can accumulate high PM levels, thereby elevating passengers' exposure to PM while waiting at bus stations, and leading to dire health outcomes such as cardiovascular disease (CVD), respiratory effects, and diabetes. In order to accurately predict PM pollution, an artificial neural network (ANN) and adaptive neuro-fuzzy inference systems (ANFIS) have been developed. ANN is a data modeling method of proven effectiveness in solving complex problems in the fields of alignment, prediction, and classification, while the ANFIS model has several advantages including non-requirement of a mathematical model, simulation of human thinking, and simple interpretation of results compared with other predictive methods.