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L5B - Diagnostic Screening and Testing
Define screening including goals…
L5B - Diagnostic Screening and Testing
- Define screening including goals and risks.
- Describe how the validity of diagnostic evidence is assessed.
- Explain the basic statistical measures of validity of diagnostic & screening tests (sensitivity, specificity, positive and negative predictive values, likelihood ratios)
- Discuss the application of the results to patient care.
Screening Test
A test administered go a group of asymptomatic people to detect signs of diseaseUsed as a secondary prevention technique
- Improve prognosis with early diagnosis
- Reduce mortality
- Reduce severity of disease
Goal of Population Screening
Identify
- a pre-disease abnormality
- early disease
- disease risk markers
Screening is intended for all people, in an identified target population, who
do not have symptoms of the disease or condition being screened for.
Risks of Screening
- False Positives
- False Negatives
- Over-Diagnosis
iShould domore good than harm
Diagnostic Test
identifying whether a person has or does not
have a particular condition.Best Study Design
- *Cross-sectional survey prospective,
blind comparison to a gold standard*
- *systematic reviews are better than an individual
study.*
Introducing New Diagnosis
To achieve this, researchers should give all participants
an index text (new test) and a reference test (currently
best test at diagnosing the condition; the gold standard)
• The results of the index test and the reference test are
compared.
• The number of patients who tested true positive (TP),
true negative (TN), false positive (FP) and false negative
(FN).
The sensitivity and specificity of the index test can then
be calculated.
Sensitivity
• measures the proportion of patients with the disease who also test positive
for the disease in this study. It is the probability that a person with the
disease will have a positive test result.
Sensitivity
• measures the proportion of patients with the disease who also test positive
for the disease in this study. It is the probability that a person with the
disease will have a positive test result.
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Measuring Diagnostic Accuracy
Important for planing therapy, if reliable and accurate, result can be acted o with a high degree of confidence
- Sensitivity ad Specificity is NOT affected by prevalence of the disease
- PPV IS dependent on the prevalence o the disease in population
Sensitivity
true positive / all diseased individuals
- TP/(TP + FN)
- High Sensitivity High positive accuracy
RELATES TO TEST
Positive Predictive Value (PPV)
- Probability that the patient has the disease if they tested positive
- True Positive/(True pos + False Pos)
RELATES TO INDIVIDUAL
Likelihood Ratio
Likelihood Ratois can be used to help adapt the results of a study to a patient, by determining the probability of disease in the patients
LR's
- Alternative method of assessing the performance of a diagnostic test
- Expres how many times a test result will be found in diseased, compared wth non-diseased people
- Indicate the LIKELIHOOD that we can expect a certain result (pos/neg) in a patient with the disorder, compared with the LIKELIHOOD that that result would also be expected from a patient without that disorder
Equations
- LR Positive = Sensitivity/(1-specificity)
- LR negative = 1 - (sensitivty)/(specificity)
Intrepreting LR's
- For a postive test, HIGH LRs indicate that the test is effective at diagnosing disease
- For a negative test, LOW LR's indicate that the test is effective at diagnosing non-disease
Consequences of Low Sensistivty
- People with the disease are missed (false
negatives)
- False reassurance that people do not have
disease
- People might delay seeking treatment
- Costs without the benefits*
Specificity
true negative / all non-diseased individuals
- TN/(TN + FP)
- High Specificity = High negatve accuracy
RELATES TO TEST
Negatve Predictive Value
- The probability that the patient doesn't have the disease if they tested negative
- True Negative/(True Neg + False Neg)
RELATES TO INDIVIDUAL
-
Consequences of Low Specificity
- People who do not have the disease may believe that they do (False positives)
- Unnecessary anxiety
- Unnecessary investigative procedures
- Costs will increase with no compensating benefits