Month January 2019
eponymictionary-340-256 2

Mirizzi syndrome

Mirizzi syndrome or extrinsic biliary compression syndrome, is a rare complication of cholelithiasis. Mirizzi syndrome is characterised by obstruction of the common bile duct (CBD), secondary to mechanical compression caused by the impaction of one or multiple gallstones in the neck of the gallbladder or cystic duct

CCC Critical Care compendium 340

Confounding and Confounders

Confounding involves error in the interpretation of what may be an accurate measurement by attributing it to the wrong cause. A confounder is a factor that is prognostically linked to the outcome of interest and is unevenly distributed between the study groups

CCC Critical Care compendium 340

Bias in Research

Bias is the systematic distortion of the estimated intervention effect away from the "truth", caused by inadequacies in the design, conduct, or analysis of a trial

CCC Critical Care compendium 340

Incidence and prevalence

Incidence = number of individuals who develop a disease in a given period of time. Prevalence = the current number of cases in a given population

CCC Critical Care compendium 340

Linear regression and Correlation

Linear regression and correlation used to compare the relationship between two variables where the relationship appears to be continuous (e.g. tachycardia and blood loss)

CCC Critical Care compendium 340

Levels and Grades of Evidence

Different systems of categorising the quality of evidence, and individual studies, have been developed; primarily used in evidence-based clinical guidelines

CCC Critical Care compendium 340

Odds ratio

An odds ratio (OR) is a measure of association between an exposure and an outcome. The OR represents the odds that an outcome will occur given a particular exposure, compared to the odds of the outcome occurring in the absence of that exposure.

CCC Critical Care compendium 340

Power and Sample Size

It is unethical and a waste of time and resources to embark on a study when there is a high chance of a false negative result (Type II error). The commonest cause of this is having a sample size that is too small