510(k) Predicate Finder
Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.
Let the assistant find your predicates
Describe your device and the Research Assistant searches 510(k)s, compares intended use, and drafts a predicate shortlist — with citations.
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Turbidimetric Method, Protein Or Albumin (Urinary, Non-Quant.)
Clinical Chemistry
This device is a clinical chemistry reagent system that uses a turbidimetric method to qualitatively or semi-quantitatively detect protein or albumin in urine, used to screen for proteinuria as an indicator of kidney dysfunction or urinary tract disease. It is classified as FDA Class 1, the lowest risk category, subject only to general controls such as proper labeling and manufacturing standards, with no premarket submission required. The product code is JIQ, regulated under 21 CFR 862.1645, and assigned to the Clinical Chemistry medical specialty.
510(k) Clearances
13 matchesWhat is a Predicate Device?
A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.
Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.
Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.