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USMLE Step 2 Family Medicine 2026 – Clinical Concepts, Epidemiology, and Treatment Review Exam Questions

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This document contains exam-style questions and verified answers covering key topics tested in USMLE Step 2 Family Medicine, including epidemiology concepts, diagnostic test interpretation, clinical pharmacology, and common disease management. Early sections review biostatistics concepts such as sensitivity, specificity, positive predictive value, and study design methods including cohort studies, case-control studies, and randomized clinical trials. The material also covers major clinical topics including asthma management, diabetes treatment, dermatologic conditions, vitamin deficiencies, cardiovascular emergencies, endocrine disorders, infectious diseases, renal pathology, and screening recommendations used in primary care practice. Keywords: USMLE step 2 family medicine review biostatistics sensitivity specificity positive predictive value calculation cohort and case control studies randomized controlled trial concepts asthma management treatment guidelines type 2 diabetes first line therapy metformin vitamin deficiency clinical signs acute myocardial infarction management Cushing syndrome clinical features pheochromocytoma symptoms and diagnosis renal artery stenosis hypertension cause acute interstitial nephritis triad acromegaly diagnosis IGF1 pulmonary fungal infections overview

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Institution
Family Medicine
Course
Family medicine

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USMLE Step 2 Family Med 2026
Expert Verified | Ace the Test



Positive predictive value (PPV): - 🧠 ANSWER ✔✔# of TP / total # of ppl

who tested positive for the dz


*P*ositive predictive value calculated as: - 🧠 ANSWER ✔✔T*P* / (T*P* +

F*P*)


Sensitivity: - 🧠 ANSWER ✔✔portion of dz person who have a positive test

,*diseased pt with positive test*


Highly sensitive test: - 🧠 ANSWER ✔✔used to rule out dz and have a low

FN rate, therefore *if pt has negative result* one can *rule out dz* in the pt


High sensitivity: - 🧠 ANSWER ✔✔*increases the NPV* of a test, allowing

person to *rule out a dz* if the result is negative.


Specificity: - 🧠 ANSWER ✔✔proportion of *dz free persons* appropriately

classified by the screening test as negative.




TN/ (FP + TN)


Specificity allows: - 🧠 ANSWER ✔✔person to *rule in* a dz w/ confidence


Highly specific test will reduce: - 🧠 ANSWER ✔✔FP results


Highly specific test are used to: - 🧠 ANSWER ✔✔confirm dx;


Ex: dsDNA for SLE

Test w/High specificities or probability of negative test in ppl w/o dz: - 🧠

ANSWER ✔✔reduce the false-positive rate.

,Both sensitivity and specificity of tests must be know to determine: - 🧠

ANSWER ✔✔the probability that a pt who tests positive for a dz actually

does have the dz (PPV of the test)


To determine the PPV: - 🧠 ANSWER ✔✔prevalence of dz must be known;




lower dz prevalence = lower PPV = less reliable positive test


Confounding variables: - 🧠 ANSWER ✔✔variable that can afffect the

outcome of a study, are not evenly distributed betw the study groups, and

are not part of the primary intervention


Negative predictice value: - 🧠 ANSWER ✔✔calculated as:


# of healthy pts w/ neg. test

-----------divided by --------------

# of healthy pts w/ neg test *+* # of dz pts w/ neg test.


Negative predictive value: - 🧠 ANSWER ✔✔how many of the "negative

tested" pts actually have dz


*N*egative predictive value calculated: - 🧠 ANSWER ✔✔T*N* / (T*N* +

F*N*)

COPYRIGHT©PROFFKERRYMARTIN 2025/2026. YEAR PUBLISHED 2026. COMPANY REGISTRATION NUMBER: 619652435. TERMS OF USE.
PRIVACY STATEMENT. ALL RIGHTS RESERVED

, Case control studies: - 🧠 ANSWER ✔✔usually presented as odds ratio,

determines the likelihood of exposure to a risk factor in individuals w/ and

w/o dz


Double-blind study: - 🧠 ANSWER ✔✔eliminates observer bias


Single-blind study: - 🧠 ANSWER ✔✔only pt is blinded as to which tx he/she

is getting


Enrollment bias: - 🧠 ANSWER ✔✔pts are assigned to different study

groups in a nonrandom fashion


Lead time bias: - 🧠 ANSWER ✔✔study that measures the survival benefit

of dz screening programs;




it refers to the mistaken interpretation of data as demonstrating survival

benefit


Measurement bias: - 🧠 ANSWER ✔✔systemic error in data collection;


the process of collecting data affects the outcome.

Ex. when asked abt weekly alcohol intake, ppl tend to give answers that

are less than the true value.

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Institution
Family medicine
Course
Family medicine

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Uploaded on
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Number of pages
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Written in
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