Its now time to pull all the theory together and critically appraise a diagnostic study.
Have a read of the paper, run through the checklist, have a listen to the podcast and then to consolidate answer the questions below.
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The study describes the population having a prevalence of PE of 19%. Prevalence relates to the number of new cases occurring in a set time period?
The prevalence of PE being higher in the study compared to other populations means that the rate of false negatives is likely to be lower?
With regards to quality of data within this study, the prospective nature of the study makes the data more likely to be accurate.
Raising the cut-off for a positive d-dimer with an age adjusted level is done in order to raise it's sensitivity?
Making the study multi centre and multinational potentially increases the internal validity of the study?
The 3 month failure rate for patients with PE ruled out between 500 µg/L but below the age-adjusted cutoff was 1 of 331 patients. This was expressed as 0.3% [95% CI, 0.1%-1.7%]. The relatively narrow confidence intervals reflect a good accuracy of the result?