Tool · 510(k)

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.

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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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Product Code: QRV FDA class 2

Setmelanotide Eligibility Gene Variant Detection System

Clinical Chemistry

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The Setmelanotide Eligibility Gene Variant Detection System is a qualitative in vitro diagnostic device intended to detect germline variants in specific genes isolated from human specimens to identify patients with obesity who may benefit from treatment with setmelanotide, a melanocortin-4 receptor agonist. It functions as a companion diagnostic to guide therapeutic eligibility decisions. Classified as FDA Class 2 under regulation 862.1164, it requires 510(k) clearance and falls under the Clinical Chemistry specialty. The device is not an implant and not life-sustaining.

510(k) Clearances

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K Number
Device Name
POMC/PCSK1/LEPR CDx Panel

What 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.

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