This Is Why with Dr. Busti

The amiodarone and digoxin drug interaction is one of the most clinically important cardiovascular drug interactions to understand because it can raise digoxin exposure and increase the risk of digoxin toxicity. In this episode of This Is Why, Dr. Busti explains why amiodarone can increase digoxin concentrations, how P-glycoprotein inhibition changes digoxin handling, and why clinicians should ant...

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-maki...

Positive and negative predictive values are critical for understanding what diagnostic test results actually mean in clinical practice. In this episode of This Is Why with Dr. Busti, Dr. Busti explains how predictive values help clinicians determine the probability that a patient truly has — or does not have — a disease after diagnostic testing. This Is Why understanding predictive values matters...

ROC curves and the AUC (or c-statistic) are some of the most important — and most misunderstood — concepts in diagnostic testing and evidence-based medicine (EBM). In this episode of This Is Why with Dr. Busti, Dr. Busti explains how ROC curves help clinicians determine diagnostic test cutoffs, balance sensitivity and specificity, and improve diagnostic accuracy in real clinical practice. This Is...

Sensitivity and specificity are some of the most misunderstood concepts in evidence-based medicine and diagnostic testing. In this episode of This Is Why with Dr. Busti, Dr. Busti breaks down the clinical meaning behind sensitivity, specificity, true positives, false positives, false negatives, and diagnostic accuracy using practical examples clinicians can immediately apply. This Is Why understan...

Diagnostic tests used in research and clinical practice are essential to evidence-based medicine because they shape how clinicians diagnose disease, interpret tests, and make patient care decisions. In this episode of This Is Why with Dr. Busti, Dr. Busti explains how the precision and accuracy of diagnostic studies are designed, validated, and critically appraised using clinically relevant exampl...

Diagnostic studies are foundational to evidence-based medicine because they help clinicians determine disease presence, severity, progression, and treatment response. In this episode of This Is Why with Dr. Busti, Dr. Busti explains the essential framework behind diagnostic studies, including sensitivity, specificity, predictive values, likelihood ratios, and critical appraisal tools used to evalu...

Regression analysis explained — understanding how variables influence outcomes is essential for interpreting clinical research in this episode of This Is Why with Dr. Busti. Dr. Busti breaks down regression analysis and how it helps identify relationships between variables while controlling for confounders. This Is Why mastering regression allows you to determine whether an intervention truly driv...

Tamsulosin for kidney stones is one of the most commonly prescribed therapies for ureteral stones — but does it actually help? In this episode of This Is Why with Dr. Busti, we break down the landmark SUSPEND trial and explain why the answer depends on the patient, the stone size, and the clinical context. This Is Why many clinicians changed how they approach medical expulsive therapy after SUSPEN...

Epistaxis explained by Dr. Busti. In this episode on This Is Why, we break down why epistaxis happens, how clinicians think through causes of bleeding, and why the location of bleeding matters clinically. Dr. Busti explains anterior vs posterior epistaxis, common risk factors, medication-related bleeding, vascular anatomy, and when recurrent nosebleeds may signal a more serious underlying conditio...

Effect size (Relative risk vs odds ratio vs hazard ratio & NNT and NNH explained — This Is Why understanding these concepts is essential for interpreting clinical trials with Dr. Busti. In this episode of This Is Why, Dr. Busti breaks down relative risk (RR), odds ratios (OR), absolute risk reduction (ARR), absolute risk increase (ARI), number needed to treat (NNT), and number needed to harm (...

D-dimer explained for DVT evaluation. This Is Why healthcare professionals must understand what an elevated D-dimer actually means before jumping to conclusions. Dr. Busti walks through a common deep vein thrombosis scenario and explains why compression ultrasonography—not automatic anticoagulation—is the correct next step when DVT is suspected. Many learners incorrectly assume that an elevated D-...

Stroke thrombolysis changed emergency neurology forever—but understanding why the NINDS trial mattered is what transforms memorization into clinical decision-making. In this episode of This Is Why with Dr. Busti, we break down the landmark NINDS rt-PA trial that established alteplase as a treatment for acute ischemic stroke and explore the real-world balance between functional recovery and intrace...

Confidence intervals are one of the most misunderstood concepts in evidence-based medicine. In this episode of This Is Why with Dr. Busti, we break down what 95% confidence intervals actually mean, how they relate to p values and effect size, and why they are essential for interpreting clinical research correctly. Dr. Busti walks through practical examples involving odds ratios, hazard ratios, rel...

Tinnitus explained clearly—This Is Why it matters clinically with Dr. Busti. Understanding tinnitus as a symptom, not a diagnosis, changes how you think, communicate, and manage patients. In this episode, Dr. Busti breaks down the meaning of tinnitus, its clinical implications, and how proper terminology drives better clinical reasoning. From pathophysiology to medication causes and key descriptor...

P values explained clearly in clinical research — This Is Why understanding what a P value means (and does NOT mean) with Dr. Busti is critical for interpreting evidence and applying it to patient care. In this episode, Dr. Busti breaks down one of the most misunderstood concepts in biostatistics: the P value. You’ll learn exactly what a P value tells you about chance, random error, and statistica...

Why sulfonylureas cause hypoglycemia becomes much easier to understand once you know how pancreatic beta cells regulate insulin secretion. In this episode of This Is Why with Dr. Busti, we walk through a board-style pharmacology question that connects ATP-sensitive potassium channels, membrane depolarization, calcium influx, and insulin release into one clinically useful framework. Instead of memo...

In this episode on This Is Why, Dr. Busti breaks down one of the most commonly misunderstood biostatistics concepts: correlation vs coefficient of determination. You’ll learn how to interpret the correlation coefficient (r), what it actually tells you about relationships between variables, and why it does NOT imply causation. Then we connect that foundation to R² (coefficient of determination) — a...

Mean, median, mode, standard deviation, and standard error explained in the context of clinical research and data interpretation. In this This Is Why lecture, Dr. Busti walks through the core measures of central tendency and variability and shows how they relate to data type, study design, and proper interpretation. This is where many learners make mistakes—especially when interpreting skewed data...

ACE inhibitors after myocardial infarction — Dr. Busti explains the GISSI-3 trial and what it actually changed in clinical practice on this episode of This Is Why. After the initial management of acute MI, the real question becomes: what else improves survival and prevents long-term damage? The GISSI-3 trial tackled this directly, evaluating early ACE inhibitor therapy and routine nitrate use in a...

Amiodarone in cardiac arrest — Dr. Busti breaks down the ARREST trial and what it actually means for patient outcomes in this episode of This Is Why. When ventricular fibrillation persists after multiple shocks, what’s the next step? The ARREST trial gave us one of the first randomized answers—but understanding the why behind the results is what truly changes how you practice. Dr. Busti walks thro...

What does “sternutate” actually mean, and why does medicine use complex terms for simple human experiences like sneezing? In this episode of This Is Why, Dr. Busti breaks down the medical term sternutate, its Latin origin, and how it connects to the physiology of sneezing as a protective reflex.  This episode goes beyond memorization to focus on clinical reasoning—helping healthcare professionals...

Power analysis is essential for interpreting clinical research and determining whether a study can truly detect a meaningful difference. In this lecture on This Is Why, Dr. Busti will explain what statistical power really means, how it relates to beta and Type II error, and why sample size plays a critical role in identifying true differences in clinical studies. He walks through the conceptual me...

Alpha value and Type I error are foundational concepts in biostatistics and clinical research interpretation. In this lecture on This Is Why, Dr. Busti will explain what alpha represents, how it is determined, and how clinicians should interpret it when evaluating medical literature. This session clarifies the relationship between alpha, Type I error, hypothesis testing, and study power, helping l...

Parametric vs Non-Parametric statistical tests are explained, and how they relate to data type, distribution, and study design. In this lecture on This Is Why, Dr. Busti brings the full biostatistics framework of the Statistical Analysis Plan (SAP) together—connecting data type, distribution, and study groups to the correct statistical analysis. Understanding when to use parametric vs. nonparametr...