Risk of Bias di artikel Systematic Review, bagaimana membacanya?

Risk of bias is an assessment of the likelihood that research results are "affected" by errors in the way the research was conducted. In systematic reviews, researchers typically compile many articles, but not all articles are of equal quality. Some studies have good designs and more reliable results, while others have weaknesses that can lead to overly positive, underwhelming, or inaccurate results. Risk of bias helps assess the level of confidence in the results of each study. For example, in clinical trials, bias can arise if the allocation of intervention and control groups is not randomized, if researchers know who receives which treatment, or if many participants drop out midway through the study. These conditions can affect the final results. For example, if the group receiving a supplement is healthier from the start than the control group, the effect of the supplement may appear to be better when it is not truly due to the intervention. In systematic reviews and meta-analyses, risk of bias is important because it determines the strength of the conclusions that can be drawn. If the majority of studies have a low risk of bias, the review's results are more convincing. Conversely, if many studies have a high risk of bias, the conclusions should be read with caution. Therefore, the "risk of bias" image that often appears in articles is actually a tool to demonstrate the methodological quality of the studies included in the review. #PhD #PhDlife #PhDstudent #S3 #UGM Twitter (x): @diyansetyaji Instagram: @diyansetyaji Youtube: @diyansetyaji Facebook: @diyansetyaji Tiktok: @diyansetyaji