1/40
Vocabulary flashcards focusing on clinical reasoning, diagnostic error cognitive biases, statistical formulas, and clinical screening guidelines based on AGACNP study material.
Name | Mastery | Learn | Test | Matching | Spaced | Call with Kai | Chat |
|---|
No analytics yet
Send a link to your students to track their progress
Clinical reasoning
The process of constructing a differential diagnosis, choosing diagnostic tests, and interpreting the results.
System 1 reasoning
Rapid, intuitive pattern recognition that matches a presentation to a stored illness script.
System 2 reasoning
Slower, explicit, analytic reasoning; used more in complicated or unfamiliar cases.
Availability bias
Considering an easily remembered diagnosis more likely regardless of its actual prevalence.
Base-rate neglect
Pursuing rare diagnoses ('zebras') while underweighting prevalence.
Representativeness bias
Ignoring atypical features that are inconsistent with the favored diagnosis.
Confirmation bias
Seeking data that confirm the initial hypothesis rather than trying to refute it.
Premature closure
Stopping the diagnostic process too soon.
Pivotal point
One of a pair of opposing descriptors that helps organize and narrow a differential (e.g., unilateral vs bilateral edema).
Possibilistic approach
Treats all causes as equally likely and tests for all simultaneously; described as not clinically useful.
Probabilistic approach
Prioritizes the diagnoses with the highest pretest probability.
Prognostic approach
Prioritizes the most serious diagnoses.
Pragmatic approach
Prioritizes diagnoses most responsive to treatment.
Leading hypothesis
The most likely diagnosis based on prevalence, demographics, risk factors, symptoms, and signs.
Active alternatives
Must-not-miss diagnoses, common diagnoses, or diagnoses reasonably likely from the patient's features.
Test threshold
The probability below which disease is so unlikely that it can be excluded without further testing.
Treatment threshold
The probability above which disease is so likely that treatment can begin without further testing.
Sensitivity
The proportion of patients WITH disease who test positive; calculated as TP+FNTP.
Specificity
The proportion of patients WITHOUT disease who test negative; calculated as TN+FPTN.
False-negative rate formula
1−sensitivity=TP+FNFN
False-positive rate formula
1−specificity=TN+FPFP
SnNout
A mnemonic stating that a highly SeNsitive test, when Negative, helps rule OUT disease.
SpPin
A mnemonic stating that a highly SPecific test, when Positive, helps rule IN disease.
Positive Likelihood Ratio (LR+)
Calculated as 1−specificitySensitivity. An LR+>10 causes a large increase in disease probability.
Negative Likelihood Ratio (LR-)
Calculated as Specificity1−sensitivity. An LR-<0.1 causes a large decrease in disease probability.
Screening
Identifying an unrecognized disease or risk factor in a seemingly well person.
Lead-time bias
Earlier diagnosis makes survival from the time of diagnosis appear longer even if the time of death is unchanged.
Length-time bias
Screening preferentially detects slower-growing disease, creating a screened group with an apparently better prognosis.
USPSTF Grade A
Recommend the service; high certainty of substantial net benefit.
USPSTF Grade B
Recommend the service; high certainty of moderate benefit or moderate certainty of moderate-to-substantial benefit.
USPSTF Grade C
Selectively offer based on professional judgment and patient preferences; net benefit is small.
USPSTF Grade D
Recommend against; no net benefit or harms outweigh benefits.
USPSTF I statement
Evidence is insufficient to determine the balance of benefits and harms.
Abdominal Aortic Aneurysm (AAA)
Defined in the text as an infrarenal aortic diameter >3.0cm.
Friedewald-style LDL equation
LDL=total cholesterol−(5triglycerides+HDL); valid when fasting triglycerides are <400mg/dL.
FRAX
A tool that estimates the 10-year probability of hip fracture or major osteoporotic fracture.
Osteoporosis Self-Assessment Tool (OST) formula
[weight(kg)−age(years)]×0.2
Osteoporosis T-score definition
T-score≤−2.5
Osteopenia T-score definition
T-score between −1.0 and −2.5.
Overdiagnosis
In prostate screening, the detection of indolent cancers that would never have become symptomatic or affected health.
Number Needed to Treat (NNT)
Calculated as NNT=ARR1, where ARR is absolute risk reduction.