What Happens to the Performance of a Diagnostic Test when the Disease Prevalence and the Cut-Point Change? Pathological scores Healthy scores Healthy population.

Slides:



Advertisements
Similar presentations
DiseaseNo disease 60 people with disease 40 people without disease Total population = 100.
Advertisements

TESTING A TEST Ian McDowell Department of Epidemiology & Community Medicine November, 2004.
Laboratory Training for Field Epidemiologists Sensitivity and specificity Predictive values positive and negative Interpretation of results Sep 2007.
Sensitivity, Specificity and ROC Curve Analysis.
STUDY DESIGN FOR DIAGNOSTIC STUDY FOR MELIOIDOSIS Dr Direk Limmathurotsakul, MD MSc PhD.
© 2014 SynteractHCR. All rights reserved. SHARED WORK. SHARED VISION. Pitfalls in Companion Diagnostics Don't underestimate the power of conditional probabilities.
TUTORIAL SCREENING Dr. Salwa Tayel, Dr. A. Almazam, Dr Afzal Mahmood
Azita Kheiltash Social Medicine Specialist Tehran University of Medical Sciences Diagnostic Tests Evaluation.
Statistical Fridays J C Horrow, MD, MSSTAT
Baye’s Rule and Medical Screening Tests. Baye’s Rule Baye’s Rule is used in medicine and epidemiology to calculate the probability that an individual.
(Medical) Diagnostic Testing. The situation Patient presents with symptoms, and is suspected of having some disease. Patient either has the disease or.
Screening and Early Detection Epidemiological Basis for Disease Control – Fall 2001 Joel L. Weissfeld, M.D. M.P.H.
Interpreting Diagnostic Tests
SPH 247 Statistical Analysis of Laboratory Data May 19, 2015SPH 247 Statistical Analysis of Laboratory Data1.
Basic statistics 11/09/13.
Statistics for nMRCGP Jo Kirkcaldy. Curriculum Condensed Knowledge Incidence and prevalence Specificity and sensitivity Positive and negative predictive.
1 Interpreting Diagnostic Tests Ian McDowell Department of Epidemiology & Community Medicine January 2012 Note to readers: you may find the additional.
“PREDICTIVE MODELING” CoSBBI, July Jennifer Hu.
Statistics. Statistics = everything you need to know, but continually want to forget!!!!
Likelihood 2005/5/22. Likelihood  probability I am likelihood I am probability.
Screening Puja Myles
SCREENING Dr. Aliya Hisam Community Medicine Dept. Army Medical College, RWP.
Risk Prediction of Complex Disease David Evans. Genetic Testing and Personalized Medicine Is this possible also in complex diseases? Predictive testing.
TESTING A TEST Ian McDowell Department of Epidemiology & Community Medicine January 2008.
Diagnostic Tests Afshin Ostovar Bushehr University of Medical Sciences Bushehr, /7/20151.
Positive Predictive Value and Negative Predictive Value
Practical application. Population A ELISA test is applied to a million people where 1% are infected with HIV. Of the million people, 10,000 would be infected.
Pattern Classification an Diagnostic Decision Yongnan Ji.
Predictive values prevalence CK and acute myocardial infarction –sensitivity 70% –specificity 80% –prevalence - 40% –prevalence - 20% –PPV and NPV.
To enhance students ability to interpret data in charts and graphs To discuss basic concepts in epidemiology and science.
Assist. Prof. Dr. Memet IŞIK Ataturk University Medical Faculty Department of Family Medicine Class 2:
Topic 6 Probability Modified from the notes of Professor A. Kuk P&G pp
Diagnostic Test Characteristics: What does this result mean
Screening.  “...the identification of unrecognized disease or defect by the application of tests, examinations or other procedures...”  “...sort out.
1 Medical Epidemiology Interpreting Medical Tests and Other Evidence.
Quality Assurance and Control. Objectives To define and discuss quality control To discuss the key features of the design of epidemiologic studies To.
Diagnosis Examination(MMSE) in detecting dementia among elderly patients living in the community. Excel.
Vascular Dementia Factors Influencing Diagnostic Accuracy Ranjan Duara, M.D. Wien Center for Alzheimer’s Disease & Memory Disorders, Miami Beach.
Timothy Wiemken, PhD MPH Assistant Professor Division of Infectious Diseases Diagnostic Tests.
Diagnostic Likelihood Ratio Presented by Juan Wang.
Learning and remembering.
Critical Appraisal Course for Emergency Medicine Trainees Module 5 Evaluation of a Diagnostic Test.
Performance of a diagnostic test Tunisia, 31 Oct 2014
DR.FATIMA ALKHALEDY M.B.Ch.B;F.I.C.M.S/C.M
Sensitivity and specificity for various renal-related diagnoses (values are compared with an eGFR
Measuring Success in Prediction
بسم الله الرحمن الرحيم Clinical Epidemiology
What is Screening? Basic Public Health Concepts Sheila West, Ph.D.
How do we delay disease progress once it has started?
How do we judge efficacy of a screening test?
Platelet Antibody Testing in Idiopathic Thrombocytopenic Purpura
What is Screening? Basic Public Health Concepts Sheila West, Ph.D.
تحليل الحساسية Sensitive Analysis.
Is a Positive Developmental-Behavioral Screening Score Sufficient to Justify Referral? A Review of Evidence and Theory  R. Christopher Sheldrick, PhD,
Millie D. Long, Bruce E. Sands 
Large-scale testing of women in Copenhagen has not reduced the prevalence of Chlamydia trachomatis infections  H. Westh, H.J. Kolmos  Clinical Microbiology.
Figure 1. Table for calculating the accuracy of a diagnostic test.
மீன்’ பிடிப்போம்’.
Patricia Butterfield & Naomi Chaytor October 18th, 2017
Positive predictive value of screening tests
Diagnostic Accuracy of Noninvasive Fibrosis Scores in a Population of Individuals With a Low Prevalence of Fibrosis  Suzanne E. Mahady, Petra Macaskill,
© Scott Harris University of Southampton
CLICK TO START.
CLICK TO START.
Diagnostic performance of dentist clinical impression.
ROC curves showing the performance of the Diabetes Risk Score in predicting diabetes in the 1987 and 1992 cohorts; follow-up of both cohorts continued.
Clinical Effectiveness: sensitivity, specificity and PPV
Call Now : Click : -
Call Now : Click : -
Call Now : Click : -
Presentation transcript:

What Happens to the Performance of a Diagnostic Test when the Disease Prevalence and the Cut-Point Change? Pathological scores Healthy scores Healthy population Sick population Cut-point - + Click on the + or – to shift the cut-point + - Prevalence Click on the + or – to alter the prevalence Remember: PPV = predictive value of a positive test result NPV = predictive value of a negative test

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 82/100 82% Specificity 275/ % PPV 80/ % NPV 275/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 73/100 73% Specificity 280/ % PPV 73/ % NPV 280/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 70/100 70% Specificity 285/300 95% PPV 70/ % NPV 285/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 63/100 63% Specificity 290/ % PPV 63/ % NPV 290/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 52/100 52% Specificity 300/ % PPV 52/52 100% NPV 300/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 90/100 90% Specificity 255/300 85% PPV 90/ % NPV 255/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 95/100 95% Specificity 234/300 78% PPV 95/161 59% NPV 234/ % 25% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + − Prevalence Disease + − + Test − Sensitivity 100/ % Specificity 195/300 65% PPV 100/ % NPV 195/ % 25%

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 49/60 82% Specificity 458/ % PPV 49/ % NPV 458/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 44/ % Specificity 467/ % PPV 44/ % NPV 467/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 42/60 70% Specificity 475/500 95% PPV 42/ % NPV 475/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 38/ % Specificity 485/500 97% PPV 38/ % NPV 485/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + Prevalence Disease + − + Test − Sensitivity 31/ % Specificity 500/ % PPV 31/31 100% NPV 500/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 54/60 90% Specificity 425/500 85% PPV 54/ % NPV 425/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 57/60 95% Specificity 390/500 78% PPV 57/ % NPV 390/ % 10% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + + Prevalence Disease + − + Test − Sensitivity 60/60 100% Specificity 325/500 65% PPV 60/ % NPV 325/ % 10%

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 82/100 82% Specificity 92/100 92% PPV 82/90 91% NPV 92/ % 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 73/100 73% Specificity 93/100 93% PPV 73/ % NPV 93/ % 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 70/100 70% Specificity 95/100 95% PPV 70/ % NPV 95/125 76% 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 63/100 63% Specificity 97/100 97% PPV 63/ % NPV 97/ % 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point − Prevalence Disease + − + Test − Sensitivity 52/100 52% Specificity 100/ % PPV 52/52 100% NPV 100/ % 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 90/100 90% Specificity 85/100 85% PPV 90/ % NPV 85/ % 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 95/100 95% Specificity 78/100 78% PPV 95/ % NPV 78/83 94% 50% −

Pathological scores Healthy scores Healthy population Sick population Cut-point + − Prevalence Disease + − + Test − Sensitivity 100/ % Specificity 65/100 65% PPV 100/135 74% NPV 65/65 100% 50%