Prevention and Treatment of Chemotherapy-Induced Peripheral Neuropathy (CIPN) with Non-Pharmacological Interventions: Clinical Recommendations from a Systematic Scoping Review and an Expert Consensus Process.

Most individuals affected by cancer who are treated with certain chemotherapies suffer of CIPN. Therefore, there is a high patient and provider interest in complementary non-pharmacological therapies, but its evidence base has not yet been clearly pointed out in the context of CIPN. The results of a scoping review overviewing the published clinical evidence on the application of complementary therapies for improving the complex CIPN symptomatology are synthesized with the recommendations of an expert consensus process aiming to draw attention to supportive strategies for CIPN.

[Creating evidence for naturopathic nursing interventions in oncology - a systematic approach].

Background: Nurses working in oncology use a wide range of naturopathic interventions in their daily practice to alleviate symptoms and improve the quality of life of oncological patients. However, there is no external evidence for many of these interventions. Due to a lack of scientific studies in the field, the aim of the project described here is to develop a standardized procedure to generate evidence on naturopathic interventions, on the basis of which recommendations may be derived for nursing practice.

Association of temporary Environmental Protection Agency regulation suspension with industrial economic viability and local air quality in California, United States.

Background: This study seeks to answer two questions about the impacts of the 2020 Environmental Protection Agency's enforcement regulation rollbacks: is this suspension bolstering the economic viability of industries as oil and manufacturing executives claim they will and are these regulations upholding the agency's mission of protecting the environment?

Results: To answer the former question, we utilized 6 months of state employment level data from California, United States, as a method of gauging the economic health of agency-regulated industries. We implemented a machine learning model to predict weekly employment data and a -test to indicate any significant changes in employment. We found that, following California's state-issued stay-at-home order and the agency's regulation suspension, oil and certain manufacturing industries had statistically significant lower employment values.