Likelihood Ratios (LR) Explained for Diagnostic Testing

This Is Why with Dr. Busti

This Is Why with Dr. Busti
Likelihood Ratios (LR) Explained for Diagnostic Testing
Jul 02, 2026
Anthony Busti, MD, PharmD, MSc, FNLA, FAHA

Likelihood ratios (LR) are one of the most clinically useful tools in diagnostic testing because they help clinicians determine whether a test meaningfully changes the probability of disease. In this episode of This Is Why with Dr. Busti, Dr. Anthony Busti explains how likelihood ratios integrate sensitivity, specificity, prevalence, and post-test probability into real-world clinical decision-making.

This Is Why understanding likelihood ratios (LR) matters for every clinician ordering diagnostic tests. Dr. Busti walks through how positive and negative likelihood ratios influence patient workups, when additional testing is warranted, and how clinicians determine whether a diagnostic test is truly useful.

Using practical examples including appendicitis evaluation with the speed bump sign, this episode demonstrates how likelihood ratios help guide evidence-based medicine (EBM) and shared clinical decision-making.

Topics Covered:
- Likelihood ratios (LR) explained
- Positive vs negative likelihood ratios
- Pre-test and post-test probability
- Disease prevalence and diagnostic testing
- Diagnostic decision-making principles
- Sensitivity and specificity integration
- Fagan nomogram basics
- Choosing useful diagnostic tests

๐Ÿ‘‰ Get more with a free membership at https://www.thisiswhy.health/
- Access free downloads from our videos 
- Access deep dive content from Dr. Busti
- Organize content via playlists & collections
- Join live Q&A
- Receive member newsletters
- Coupons & discounts for exam prep resources

๐Ÿ‘ If this helped you, please like, subscribe, and share it with a classmate or colleague. That will help this new channel continue producing free, high-yield medical education content.

๐Ÿ”” Donโ€™t forget to turn on notifications so you donโ€™t miss upcoming lectures in pharmacology, medical rounds, and more!

#LikelihoodRatios #DiagnosticTesting #EBM #PostTestProbability #DrBusti

Speaker:
Anthony Busti, MD, PharmD, MSc, FAHA, FNLA, is a licensed healthcare professional and medical educator with over 30 years of experience in clinical practice and academic teaching. He has trained and practiced as a nurse, pharmacist, and physician, bringing a uniquely comprehensive perspective to patient care and medical education.
Dr. Busti is dedicated to advancing evidence-based medicine and helping clinicians understand the underlying โ€œwhyโ€ behind clinical decisions to improve patient outcomes.

About This Channel:
This content is created by Anthony Busti, MD, PharmD, MSc, FAHA, FNLA, a board-certified physician with training at Johns Hopkins School of Medicine and University of Oxford and a medical educator for healthcare professionals and students. All material is based on current medical literature and evidence-based guidelines that align with principles of evidence-based medicine (EBM) and Evidence-Based Healthcare (EBHC).

Disclaimer:
This content is for educational purposes only and is not medical advice. It does not replace individualized evaluation, diagnosis, or treatment. Always seek the advice of a qualified health provider with questions about a medical condition and never delay care because of educational content.

Episode Artwork Likelihood Ratios (LR) Explained for Diagnostic Testing 24:47 Episode Artwork Positive and Negative Predictive Values Explained Clinically 27:04 Episode Artwork ROC Curves Explained: Understanding Diagnostic Cutoffs 1:24 Episode Artwork Sensitivity & Specificity Explained for Clinical Practice 35:03 Episode Artwork Diagnostic Tests Explained: Precision & Accuracy in Practice 14:24 Episode Artwork Diagnostic Tests & Studies: How to Use & Evaluate in Practice 40:44 Episode Artwork Regression Analysis Explained: Confounders & Clinical Meaning 26:24 Episode Artwork SUSPEND Trial | Tamsulosin for Kidney Stones Explained 19:33 Episode Artwork Epistaxis Explained Why Nosebleeds Happen | Dr. Busti 18:27 Episode Artwork Effect Size (Relative Risk (RR), Odds Ratio (OR), NNT/NNH) Made Simple 39:24 Episode Artwork D-Dimer Explained: When Suspected DVT Needs Ultrasound 13:29 Episode Artwork NINDS Trial Explained Stroke Thrombolysis Risks and Benefits 30:20 Episode Artwork 95% Confidence Intervals Explained for Medical Literature 27:01 Episode Artwork Tinnitus Explained: Symptom vs Diagnosis 14:08 Episode Artwork P Values Explained Clearly: Statistical vs Clinical Significance 29:54 Episode Artwork Why Sulfonylureas Cause Hypoglycemia Explained 13:37 Episode Artwork Correlation vs R Squared Explained This Is Why It Matters 13:29 Episode Artwork GISSI-3 Trial: ACE Inhibitors After MI Explained 12:49 Episode Artwork Biostatistics Framework | Mean, Median, Mode Explained + SD vs SEM 23:31 Episode Artwork Amiodarone in Cardiac Arrest: ARREST Trial Explained 10:44 Episode Artwork Medical Terminology: Sternutate 7:08 Episode Artwork Power Analysis Explained: Type II Error, Beta, and Sample Size 25:29 Episode Artwork Alpha Value Explained (Type I Error)| Biostatistics Series 18:33 Episode Artwork Parametric vs Non-Parametric Statistical Tests Explained 15:32 Episode Artwork Independent vs Paired Groups Explained (Choose the Right Test) 14:08