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VALIDITYAND RELIABILITY OF
DIAGNOSTIC AND SCREENING
TESTS
DR TANVEER REHMAN
SCIENTIST – B (MEDICAL)
PUBLIC HEALTH DIVISION
Why assess the quality of diagnostic tests?
• Infectious disease modelling
• Patient care
• Secondary prevention programs
• Primary prevention policies
10/2/2022 DrTanveer Rehman, Sc-B, ICMR-RMRCBB 2
Tests with Dichotomous Results
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• “Gold standard”
• Which is more
dangerous – FN
or FP?
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• FN: critical cut-
off treatment
point missed
• FP: expensive,
burden to health
system, stigma
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Validity of Screening Tests
Ability to distinguish between who has a disease and who does not
I. Sensitivity of a test – ability to identify correctly those who
have the disease: if high - “screening test”
II. Specificity of the test – ability to identify correctly those who
do not have the disease: if high - “confirmatory test”
III. Characteristics of the test: not dependent on the prevalence
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Example
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DrTanveer Rehman, Sc-B, ICMR-RMRCBB
Tests of Continuous Variables
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Choosing cut-offs: Receiver Operating Characteristic (ROC) curve
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WHY
Use of Multiple Tests
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Sequential (Two-stage) Testing
• Test A followed by Test B
• Those screened positive (A) are recalled for further testing (B)
• Usually 2nd test (B): better validity (more expensive & invasive)
• A person diagnosed positive (net/ final) if positive in both the tests
• A loss in net sensitivity & a gain in net specificity
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Simultaneous Testing
• Test A & Test B at same time
• All will undergo both A & B
• Usually 2 screening tests employed
• A person positive (net/ final) if positive in any of the two test
• A gain in net sensitivity & a loss in net specificity
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Epidemiological
perspective
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Clinical
perspective
Predictive Value of a Test
• The Positive Predictive Value (PPV) – the proportion of patients
who test positive, actually having the disease in question
• The Negative Predictive Value (NPV) – the proportion of patients
who test negative, actually NOT having the disease in question.
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Example
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Relationship between Positive Predictive
Value and Disease Prevalence
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Relationship between Positive Predictive
Value and Disease Prevalence
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Relationship between Positive Predictive
Value and Disease Prevalence
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Similarly, increasing prevalence will lead to decreasing NPV
Reliability (Repeatability) of Tests
• Ability of a measurement to give the same result or a similar result
with repeated measurement
• Intrasubject variation (variation within individual subjects),
• Intra-observer variation (variation in the reading of test results by
the same reader)
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Percent Agreement
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OBSERVATION NO. 1
OBSERVATION NO. 2
Percent Agreement OR Diagnostic accuracy
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OBSERVATION NO. 1
OBSERVATION NO. 2
Kappa Statistic
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WHY NEEDED ??
Kappa Statistic
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Kappa Statistic
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Kappa Statistic
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Kappa Statistic
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LANDIS &
KOCH
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SUMMARY
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VARIABLE INDEX VALIDITY RELIABILITY
Categorical
Sensitivity /specificity Yes No
Youden’s J statistic Yes ?
Percent agreement/ Kappa statistic ?* Yes
Continuous
Scatter plot ? Yes
Intraclass correlation coefficient (ICC) ? Yes
Bland-Altman plot Yes Yes
For intrepid scholars
• Confidence interval of sensitivity, specificity
• Percent positive agreement (PPA)
• Chamberlain’s PPA
• Weighted kappa
• How kappa dependent on prevalence?
• Derivation of formulae for net sensitivity & specificity
• ICC
• Bland-Altman plot
10/2/2022 DrTanveer Rehman, Sc-B, ICMR-RMRCBB 39
THANK YOU
10/2/2022 DrTanveer Rehman, Sc-B, ICMR-RMRCBB 40

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Validity & reliability of screening & diagnostic tests

Editor's Notes

  • #39: Systematic differences (bias) between readings & outliers