Sensitivity, Specificity, PPV & NPV Complete One Shot | PSM for NEET PG, INI-CET, FMGE

Master Sensitivity, Specificity, Positive Predictive Value and Negative Predictive Value in this MBBS Integrated Video for PSM and Community Medicine. This 51-minute detailed lecture explains screening test evaluation, diagnostic accuracy, 2x2 table, true positive, false positive, true negative, false negative, sensitivity, specificity, PPV, NPV, effect of prevalence, likelihood of missed cases, confirmatory testing and high-yield exam traps for NEET PG, INI-CET, FMGE and NEXT preparation. 🎯 Best for: ✅ MBBS students ✅ Interns ✅ NEET PG aspirants ✅ INI-CET aspirants ✅ FMGE aspirants ✅ NEXT-oriented preparation 📚 Topics Covered: • Screening and diagnostic test evaluation • 2x2 table approach • True positive, false positive, true negative, false negative • Sensitivity and specificity • Positive predictive value and negative predictive value • Effect of disease prevalence on PPV and NPV • Screening vs confirmatory test logic • High-yield PSM calculation traps ⏱️ TIMESTAMPS 00:00 Introduction and exam importance 02:20 Why diagnostic accuracy matters 05:10 Screening test vs diagnostic test 08:00 2x2 table basic structure 11:15 True positive and false negative 14:10 True negative and false positive 17:00 Sensitivity formula and interpretation 20:45 Specificity formula and interpretation 24:30 Sensitivity vs specificity comparison 28:20 Positive Predictive Value explained 32:15 Negative Predictive Value explained 36:10 Effect of prevalence on PPV and NPV 40:05 High sensitivity for screening 43:15 High specificity for confirmation 46:00 Common calculation mistakes 49:15 NEET PG/FMGE/INI-CET high-yield traps 51:05 Final rapid revision ❓ FREQUENTLY ASKED QUESTIONS Q1. What is sensitivity? Sensitivity is the ability of a test to correctly identify people who truly have the disease. Q2. What is specificity? Specificity is the ability of a test to correctly identify people who truly do not have the disease. Q3. What is PPV? Positive Predictive Value is the probability that a person with a positive test result truly has the disease. Q4. What is NPV? Negative Predictive Value is the probability that a person with a negative test result truly does not have the disease. Q5. What is a false negative? False negative means the person has disease, but the test result is negative. Q6. What is a false positive? False positive means the person does not have disease, but the test result is positive. Q7. How does prevalence affect PPV? When disease prevalence increases, PPV generally increases. Q8. How does prevalence affect NPV? When disease prevalence decreases, NPV generally increases. Q9. Which test is preferred for screening? A highly sensitive test is preferred for screening because it reduces false negatives and helps avoid missing cases. Q10. Which test is preferred for confirmation? A highly specific test is preferred for confirmation because it reduces false positives. 🔎 MOST SEARCHED KEYWORDS sensitivity specificity, positive predictive value, negative predictive value, PPV NPV, sensitivity and specificity PSM, diagnostic accuracy, screening test, 2x2 table epidemiology, true positive, false positive, true negative, false negative, predictive value, prevalence and PPV, prevalence and NPV, high sensitivity screening test, high specificity diagnostic test, PSM epidemiology, NEET PG PSM, FMGE PSM, INI CET PSM, MBBS integrated video 🏷️ TAGS sensitivity specificity, positive predictive value, negative predictive value, PPV, NPV, screening test, diagnostic accuracy, 2x2 table, true positive, false positive, true negative, false negative, prevalence, PSM, community medicine, epidemiology, NEET PG, INI CET, FMGE, MBBS #️⃣ HASHTAGS #Sensitivity, #Specificity, #PositivePredictiveValue, #NegativePredictiveValue, #PPV, #NPV, #ScreeningTest, #DiagnosticAccuracy, #PSM, #CommunityMedicine, #Epidemiology, #MBBS, #NEETPG, #INICET, #FMGE, #NEXTExam ⚠️ MEDICAL DISCLAIMER This video is for medical education and exam preparation only. It is not a substitute for institutional teaching, clinical judgment, public health screening guidelines or professional medical advice. Sensitivity, specificity, PPV and NPV should always be interpreted according to target population, disease prevalence, test quality, sampling method, case definition, clinical context and standard public health recommendations.