Objectives: Clinical trial productivity has not been investigated in the Gulf Cooperation Council (GCC) region, including Oman, Saudi Arabia, United Arab Emirates (UAE), Qatar, Bahrain, and Kuwait. We aim to assess the productivity of clinical trials conducted in the GCC region. Specifically, we aim to estimate the number of clinical trials conducted and estimate the proportion of clinical trials conducted in the GCC countries published in peer-reviewed journals. Methods: The clinical trials registry of the U.S. National Library of Medicine (NLM) was searched for clinical trials conducted from January 2000 to October 2019. The productivity was assessed by the publication status of the trials in the registry and through the search in Medline indexed journals. Results: A total of 682 trials were found from the GCC region, with an overall trend of 4.1 trials each year. However, the clinical trial productivity from our area contributes to only 0.37% of the trials globally. When comparing the raw data, Saudi Arabia shows the highest proportion by contributing 66.6% of the clinical trials from the region (p < 0.001). Oman contributed 3.5 %. After normalization to population, Qatar shows to be the highest with 42.78 trials per million. A total of 238 trials were conducted before 2016, of which 46.6% were published. Conclusion: Saudi Arabia is the leading country in clinical trial productivity in the GCC region. Countries should utilize the triple helix model to a partnership with industry and improve their contribution to science. Keywords: Productivity; Clinical Trials; Publication; Oman; Gulf Cooperative Council.
A systematic review is a specific and reproducible method to search, identify, select, appraise, and summarize all studies relevant to a particular health care question. In this paper, we will review the concept of level of evidence, define the terms systematic review and meta-analysis, and outline the steps in performing a systematic review and meta-analysis with an illustrative example. In addition, we will introduce some important concepts in systematic reviews and meta-analyses like heterogeneity, publication bias, forest plots, and quality assessment. Finally, this review will focus on systematic reviews addressing therapeutic research questions.
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