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A result is not a fact about a patient. It is a measurement - produced by a physical process, on a specimen that may or may not represent the patient, analysed by a method with known limitations, and reported against an interval derived from a population the patient may not belong to. Every one of those steps can fail, and each failure has a recognisable signature.
Clinical Laboratory Test Interpretation teaches you to read those signatures. Across 40 chapters it builds a single reasoning sequence - establish whether the abnormality is real, judge its size, explain it biologically, test that explanation against the rest of the data, attack it, and only then commit - and applies it consistently to hematology, clinical chemistry, endocrine testing, and coagulation.
Reference books tell you what a test measures. This one tells you when to believe it. Whole chapters address the questions that decide clinical outcomes and appear in no lab-values manual: why the same potassium means two different things in two patients; how to work a result you do not believe; when a normal result is the most important finding in the case; why a troponin above the cut-off is not a heart attack; and how assay interference manufactures diseases that never existed.
Volume 1 is complete in itself, with its own glossary, appendices, and index.
Portions of this book's text were generated with the assistance of artificial intelligence and were subsequently reviewed and edited prior to publication.
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