Critical appraisal for FCEM by Duncan Bootland, Visit Amazon's Evan Coughlan Page, search

By Duncan Bootland, Visit Amazon's Evan Coughlan Page, search results, Learn about Author Central, Evan Coughlan, , Robert Galloway, Stephanie Goubet

The skill to learn a paper, pass judgement on its caliber, the significance of its effects, and decide approximately no matter if to alter perform in accordance with the data given, is a middle ability for all medical professionals. which will do that fast and successfully is, definitely, a ability wanted by way of all time-pressured emergency medical professionals and one that is established within the Fellowship of the varsity of Emergency medication (FCEM) exam.

Critical Appraisal for FCEM is the fundamental revision resource for all those that are looking to go the serious appraisal component to this examination. it's also required studying should you are looking to contain evidence-based drugs into their daily scientific perform.

Features:

  • Helps you develop into really efficient in severe appraisal
  • Provides info in "Spod’s Corner," which is helping you achieve the following point and excel
  • Prepares you for the serious subject Review
  • Contains fictional perform papers to check and training your knowledge

With its secure conversational style―yet filled with crucial info, key counsel, and advice―this e-book is fundamental for all these eager to be successful of their FCEM and MCEM examinations.

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Extra resources for Critical appraisal for FCEM

Sample text

We suspect he has an 80% chance of a pneumothorax. e. we are nine times more likely to diagnose a pneumothorax by ultrasound in someone who has one as opposed to someone who doesn’t. ) • Once you have the ultrasound result, now what is the chance of having a pneumothorax? 0 (100%) means something is absolutely certain to happen. 2 or 720% and clearly this does not make sense. Probability and odds 41 • Using odds: −− (Pre-test) odds = 80:20 = 4:1 (based on probability of 80%) −− Likelihood ratio = 9 −− Post-test odds = Pre-test odds × LR = 4:1 × 9 = 36:1 • Odds of 36:1 clearly makes sense (suggesting a very high chance of having a pneumothorax given a positive ultrasound).

Do the authors report and discuss the results they said they were going to look for in the design of the study? • Does the result make sense in the context of other known results? Spotting type 2 errors Type 2 errors are what occur when we fail to find a statistically significant result when a real difference was actually present. When a type 2 error occurs it is usually because the sample size was too small. In studies that reported a non-statistically significant result it is easy to dismiss the study and conclude that the intervention that was studied is of no value.

Having too strict inclusion and exclusion criteria may lead to an experimental group that is no longer representative of the population as a whole. This is known as diagnostic purity bias. Next, think about the sample size in the study: • How did the authors come to this sample size? • Did they calculate it using a sample size calculation and if so did they quote all the factors required for this calculation? In many diagnostic studies the sample size calculation is not mentioned in the paper; however it should be.

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