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: ESF FDA class 2

Polymer, Composite Synthetic Ptfe With Carbon-Fiber, Ent

General, Plastic Surgery

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The composite synthetic PTFE with carbon-fiber ENT polymer is a structural implant material used in ear, nose, and throat reconstructive procedures, leveraging the mechanical properties of polytetrafluoroethylene combined with carbon fiber reinforcement. It is classified as FDA Class 2, representing moderate risk, and requires 510(k) premarket clearance. The product code is ESF, regulated under 21 CFR 878.3500 in the General, Plastic Surgery specialty. This device is designated as an implant.

510(k) Clearances

2 matches
K Number
Device Name
BEHIND-THE-EAR HEARING AID MODEL 404 PP-PC
CERAVITAL CERAMIC EAR CANAL WALL PROSTH

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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