AGACNP Clinical Reasoning and Screening Study Cards

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Vocabulary flashcards focusing on clinical reasoning, diagnostic error cognitive biases, statistical formulas, and clinical screening guidelines based on AGACNP study material.

Last updated 8:47 AM on 9/5/26
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41 Terms

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Clinical reasoning

The process of constructing a differential diagnosis, choosing diagnostic tests, and interpreting the results.

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System 1 reasoning

Rapid, intuitive pattern recognition that matches a presentation to a stored illness script.

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System 2 reasoning

Slower, explicit, analytic reasoning; used more in complicated or unfamiliar cases.

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Availability bias

Considering an easily remembered diagnosis more likely regardless of its actual prevalence.

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Base-rate neglect

Pursuing rare diagnoses ('zebras') while underweighting prevalence.

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Representativeness bias

Ignoring atypical features that are inconsistent with the favored diagnosis.

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Confirmation bias

Seeking data that confirm the initial hypothesis rather than trying to refute it.

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Premature closure

Stopping the diagnostic process too soon.

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Pivotal point

One of a pair of opposing descriptors that helps organize and narrow a differential (e.g., unilateral vs bilateral edema).

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Possibilistic approach

Treats all causes as equally likely and tests for all simultaneously; described as not clinically useful.

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Probabilistic approach

Prioritizes the diagnoses with the highest pretest probability.

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Prognostic approach

Prioritizes the most serious diagnoses.

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Pragmatic approach

Prioritizes diagnoses most responsive to treatment.

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Leading hypothesis

The most likely diagnosis based on prevalence, demographics, risk factors, symptoms, and signs.

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Active alternatives

Must-not-miss diagnoses, common diagnoses, or diagnoses reasonably likely from the patient's features.

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Test threshold

The probability below which disease is so unlikely that it can be excluded without further testing.

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Treatment threshold

The probability above which disease is so likely that treatment can begin without further testing.

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Sensitivity

The proportion of patients WITH disease who test positive; calculated as TPTP+FN\frac{\text{TP}}{\text{TP} + \text{FN}}.

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Specificity

The proportion of patients WITHOUT disease who test negative; calculated as TNTN+FP\frac{\text{TN}}{\text{TN} + \text{FP}}.

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False-negative rate formula

1sensitivity=FNTP+FN1 - \text{sensitivity} = \frac{\text{FN}}{\text{TP} + \text{FN}}

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False-positive rate formula

1specificity=FPTN+FP1 - \text{specificity} = \frac{\text{FP}}{\text{TN} + \text{FP}}

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SnNout

A mnemonic stating that a highly SeNsitive test, when Negative, helps rule OUT disease.

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SpPin

A mnemonic stating that a highly SPecific test, when Positive, helps rule IN disease.

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Positive Likelihood Ratio (LR+)

Calculated as Sensitivity1specificity\frac{\text{Sensitivity}}{1 - \text{specificity}}. An LR+>10\text{LR+} > 10 causes a large increase in disease probability.

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Negative Likelihood Ratio (LR-)

Calculated as 1sensitivitySpecificity\frac{1 - \text{sensitivity}}{\text{Specificity}}. An LR-<0.1\text{LR-} < 0.1 causes a large decrease in disease probability.

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Screening

Identifying an unrecognized disease or risk factor in a seemingly well person.

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Lead-time bias

Earlier diagnosis makes survival from the time of diagnosis appear longer even if the time of death is unchanged.

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Length-time bias

Screening preferentially detects slower-growing disease, creating a screened group with an apparently better prognosis.

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USPSTF Grade A

Recommend the service; high certainty of substantial net benefit.

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USPSTF Grade B

Recommend the service; high certainty of moderate benefit or moderate certainty of moderate-to-substantial benefit.

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USPSTF Grade C

Selectively offer based on professional judgment and patient preferences; net benefit is small.

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USPSTF Grade D

Recommend against; no net benefit or harms outweigh benefits.

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USPSTF I statement

Evidence is insufficient to determine the balance of benefits and harms.

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Abdominal Aortic Aneurysm (AAA)

Defined in the text as an infrarenal aortic diameter >3.0cm> 3.0\,\text{cm}.

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Friedewald-style LDL equation

LDL=total cholesterol(triglycerides5+HDL)\text{LDL} = \text{total cholesterol} - \left(\frac{\text{triglycerides}}{5} + \text{HDL}\right); valid when fasting triglycerides are <400mg/dL< 400\,\text{mg/dL}.

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FRAX

A tool that estimates the 10-year10\text{-year} probability of hip fracture or major osteoporotic fracture.

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Osteoporosis Self-Assessment Tool (OST) formula

[weight(kg)age(years)]×0.2[\text{weight\,(kg)} - \text{age\,(years)}] \times 0.2

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Osteoporosis T-score definition

T-score2.5\text{T-score} \le -2.5

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Osteopenia T-score definition

T-score\text{T-score} between 1.0-1.0 and 2.5-2.5.

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Overdiagnosis

In prostate screening, the detection of indolent cancers that would never have become symptomatic or affected health.

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Number Needed to Treat (NNT)

Calculated as NNT=1ARR\text{NNT} = \frac{1}{\text{ARR}}, where ARR\text{ARR} is absolute risk reduction.