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Diagnostic Accuracy

Everything on Aqrab tagged Diagnostic Accuracy — grouped into one landing page so readers can go deeper by problem family instead of bouncing around the archive blind.

Diagnostic AccuracyStudy DesignMethods Critique

Only the Disagreements Were Checked: The Discrepant-Resolution Trap

When a third test checks only disagreements, agreement is not proof that both tests were right. Use this three-question audit before accepting a revised diagnostic-accuracy table.

2026-11-03·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

The Result Arrived After the Decision: Audit Diagnostic Turnaround

A practical timeline shows why diagnostic accuracy alone cannot establish that a result can reach the clinical decision it is meant to support.

2026-11-01·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

One Pooled Sensitivity, Two Hospitals: Check Diagnostic Accuracy by Site

A worked two-site example shows how a pooled sensitivity can hide a weaker result in one setting, and what to inspect before transporting a diagnostic claim.

2026-10-27·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

Before the Analyzer: Does Specimen Handling Match Diagnostic Test Use?

A practical specimen-path audit for diagnostic studies: collection, transport, storage, and exclusions can separate the reported accuracy from the intended clinical workflow.

2026-10-26·5 min read
Diagnostic AccuracyClinical AIMethods Critique

The Expert-Reader Trap: Will Diagnostic Accuracy Travel to Routine Care?

A practical guide to checking whether the readers, training, and workflow in a diagnostic study match the setting where a test will be used.

2026-10-25·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

Who Knew the Answer? Reader Masking in Diagnostic Accuracy Studies

A practical two-direction audit of what index-test and reference-standard readers knew before interpretation, and why clinical context is not the same as knowing the answer key.

2026-10-22·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

One Patient, Many Samples: What Is the Denominator in a Diagnostic Study?

A practical audit of patient, specimen, and testing-episode denominators: repeated samples do not automatically provide independent patient-level evidence.

2026-10-19·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

Two Tests, Two Patient Groups: Why the Accuracy Leaderboard Can Mislead

A practical guide to direct versus indirect diagnostic-test comparisons: check whether both tests faced the same patients and reference standard before calling one more accurate.

2026-10-18·5 min read
Diagnostic AccuracyStudy DesignMethods Critique

When the Answer Key Arrives Later: Timing in Diagnostic Accuracy Studies

The interval between an index test and reference standard can change the condition being measured. A practical timeline shows what to check before interpreting apparent false results.

2026-10-15·6 min read
Diagnostic AccuracyEvidence AppraisalMethods Critique

Ninety Percent Sensitive Based on How Many Cases?

The same 90% sensitivity can rest on 20 or 200 condition-positive participants. A worked confidence-interval comparison shows why the denominator matters before a test is called reliable.

2026-10-14·5 min read
Diagnostic AccuracyEvidence AppraisalMethods Critique

Test Agreement Is Not Diagnostic Accuracy

A worked 97% agreement example shows why matching another imperfect test cannot establish sensitivity or specificity, plus four questions for appraising the comparator and denominators.

2026-10-13·5 min read
Diagnostic AccuracyClinical AIMethods Critique

Two Positive Tests Are Not Always Twice the Evidence

A worked example shows why repeating a correlated diagnostic test cannot automatically multiply the same likelihood ratio twice—and what joint pathway data reviewers should request.

2026-10-08·6 min read
Diagnostic AccuracyClinical AIMethods Critique

Inconclusive Diagnostic Results: Keep the Middle Row

A three-result worked example shows why valid intermediate findings deserve their own likelihood ratio, while failed tests need separate reporting—not silent exclusion.

2026-10-07·7 min read
Diagnostic AccuracyEvidence AppraisalMethods Critique

A Negative Test Is Not a Rule-Out: Calculate the Risk Left Behind

A worked negative likelihood-ratio example shows why the same negative test can leave very different residual risks—and what to check before calling a result reassuring.

2026-10-06·6 min read
Diagnostic AccuracyClinical AIMethods Critique

Positive Predictive Value: Why a Good Test Can Still Produce Mostly False Alarms

A worked diagnostic-test example shows why positive predictive value changes with the tested population, even when sensitivity and specificity are held fixed—and why real-world accuracy may shift too.

2026-10-05·7 min read

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