Non Sedation light sedation Article Interpret Study
Assignment about reading a journal article on light sedation versus no sedation and p values, CL range and how you obtained this information. There are 2 question under each question there are sub questions to answer about the journal article. I’ve attached pictures of the chart and questions that should be answered.
Journal Article URL: https://www.nejm.org/doi/full/10.1056/NEJMoa1906759
Question 1:
1. Explain the details for the mathematical calculation that resulted in the value of 5.4 AND explain specifically what the value of 5.4 means. In other words, interpret the value of 5.4 in relation to this specific outcome of the study. Your answer should include these things:
Explain the details of how the value of 5.4 was calculated.
–5.4 what?
–What does this mean when I compare the two groups? Which group has the best results (This is where you ask the “Which group would I want to be in?” question).
2. What does the CI range of -2.2 to12.2 mean? What is your interpretation of this? Your answer should include these things:
—A statement about what this means if the study were repeated 100 times
–What this range specifically means relative to this study outcome–what does this range of results mean for this specific result?
—A statement about whether the value of no effect/no difference for this CI range is zero or one AND a statement about whether the CI range included this value.
QUESTION 2:
This information is copied from Appendix table S 2 on page 5 of the supplement titled Supplementary Appendix for the Nonsedation vs. Light Sedation study. Please look at the highlighted (boxed) line of information and answer the following questions:
1. Is the p-value listed statistically significant? Your answer should state “yes” or “no” and then specifically explain why you chose the answer you did?
2. Are the highlighted results clinically significant? Your answer should state “yes” or “no” and then specifically explain why you chose the answer you did?
3. Explain the relationship of the 95% CI of (1.3% to 8.7%) to the p-value (.01). In other words, explain how looking at the CI range can provide you with information about whether the p-value will or will not be statistically significant.
