Screening of Disease | PSM Lecture | 3rd Year MBBS PSM One Shot | INICET / FMGE / NEET PG | PW MedEd
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Screening of Disease | PSM Lecture | 3rd Year MBBS PSM One Shot | INICET / FMGE / NEET PG | PW MedEd
2 797 просмотров · Трансляция закончилась 5 месяцев назад
PW MedEd
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2 797 просмотров · Трансляция закончилась 5 месяцев назад
Screening of Disease | PSM Lecture | 3rd Year MBBS PSM One Shot | INICET / FMGE / NEET PG | PW MedEd
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One Shot Series Annotated Notes: https://t.me/neet_pg_notes_by_meded
In this comprehensive One Shot session, Dr. Ashwani Sir decodes the complex and high-yielding topic of Screening of Disease. Often considered one of the most enigmatic chapters in Community Medicine (PSM), this lecture simplifies the numerical and conceptual aspects of screening statistics. Whether you are a 3rd-year MBBS student preparing for university exams or a PG aspirant targeting NEET PG 2026, INICET, or FMGE, this video is your ultimate guide to mastering sensitivity, specificity, and predictive values.
Dr. Ashwani Sir uses relatable analogies and clinical scenarios—ranging from COVID-19 testing logic to cervical cancer screening—to explain Bayes' Theorem and the dependency of PPV on prevalence. You will learn how to navigate the 2x2 contingency table, interpret ROC curves for ideal cut-off points, and understand the impact of testing in series vs. parallel. The session concludes with a rigorous numerical practice session, ensuring you can solve any screening-related MCQ with 100% confidence.
Key Concepts Covered:
Sensitivity vs. Specificity: Inclusion (TPR) vs. Exclusion (TNR) criteria.
Predictive Values: Understanding PPV, NPV, and the role of Prevalence.
Contingency Table (2x2): Correct placement of TP, FP, TN, and FN.
ROC Curve: Mastering the Y-axis (Sensitivity) and X-axis (1-Specificity).
Likelihood Ratios: Simple mnemonics for Positive and Negative LR formulas.
Impact of Cut-off Shifts: How changing thresholds affects screening parameters.
Series vs. Parallel Testing: Differentiating protocols for HIV (Elisa/Western Blot) and TB.
Timestamps:
00:00 - Introduction to Screening Statistics
00:50 - Sensitivity vs. Specificity: Relatable Analogies
04:46 - Sensitivity Formula: True Positive Rate (TPR)
07:32 - Specificity Formula: True Negative Rate (TNR)
11:54 - Screening Tests vs. Confirmatory Tests: Clinical Priority
14:37 - Positive & Negative Predictive Values (PPV & NPV)
16:46 - Prevalence & Bayes' Theorem: The Logic of Mass Screening
22:41 - Mastering the 2x2 Contingency Table
29:23 - Numerical: Deriving False Positive Rate (FPR)
32:34 - Case Study: COVID-19 RT-PCR & Lockdown Positivity Logic
40:41 - Impact of Changing Cut-offs (Blood Sugar Example)
49:49 - Correlations: Sensitivity vs. False Positives
54:45 - The Master Formula for Parameter Inter-dependency
1:03:37 - Identifying the Most Sensitive vs. Specific Cut-off on a Graph
1:08:52 - ROC Curve Explained (Receiver Operating Characteristic)
1:14:44 - Positive & Negative Likelihood Ratios (Memory Trick)
1:29:55 - Tests in Series vs. Tests in Parallel (HIV & Lipid Profile Examples)
1:40:21 - Comparison of Two Different Tests on a Graph
1:47:18 - Solving High-Yield Numerical PYQs & MCQs
#PSM # #CommunityMedicine #PWMedEd #NEETPG2026 #INICET #FMGE #MBBS3rdYear #MedicalNumericals #SensitivitySpecificity #PublicHealth
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