Chinese Journal of Evidence-Based Medicine (ISSN:1672-2531) is a monthly peer-reviewed scopus indexed journal originally from 2005 to Present. The publisher of the journal is Zhongguo xun zheng yi xue za zhi bian ji bu. The journal welcomes all kind of research/review/abstract papers regarding all medical subjects including medicine, pharmaceutical, chemistry, bio-chemistry, public health, nursing etc.
Abstract : In Morocco, and since the entry into force of the Guide for the Good Execution of Medical Biology Analyses (GBEA), the implementation of a quality approach in medical biology laboratories has become a regulatory obligation. In this context, the Parasitology-Mycology Laboratory of the Ibn Rochd University Hospital in Casablanca has joined this voluntary dynamic and has scheduled a review of the validation files of analytical techniques according to the ISO 15189 V 2022 standard. The objective of
Abstract : The increasing global population, especially in developing countries, has created a growing demand for contraceptive methods that are both accessible and culturally appropriate. Although modern contraceptives are widely used, they are often associated with various negative side effects, prompting the search for safer alternatives. This review focuses on plant-based contraceptive agents utilized by indigenous and tribal communities, which have a long history of relying on herbal remedies with ant
Abstract : AI has become a popular remedy for issues involving numbers and data. Artificial intelligence (AI) has advanced significantly in the healthcare industry. It has been instrumental in the management and storage of data and information, including patient medical histories, medication inventories, sales records, and more; automated machinery; software and computer applications, such as diagnostic tools like CT and MRI radiation technology, and many others, have all been developed to support and stre
Abstract : Pregnant women are at high risk for Gestational Diabetes Mellitus (GDM), which is linked to a number of demographic and health variables. For management and preventative tactics to be effective, it is vital to comprehend these variables. This study aimed to investigate the demographic and predictive factors associated with Gestational Diabetes Mellitus (GDM) using logistic regression analysis. In order to determine whether certain demographic factors and health indicators among pregnant women (n
Abstract : The health of expectant mothers and newborns is greatly impacted by gestational diabetes mellitus (GDM). It is essential to comprehend the demographics, health traits, and delivery outcomes of women with GDM in order to create tailored interventions and enhance treatment plans. The purpose of this study is to examine the variables that affect GDM and how it affects delivery results. A range of health and demographic factors were assessed, such as age, physical activity levels, previous GDM, PCOD