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: GFJ FDA class 1

Mallet, Surgical, General & Plastic Surgery

General, Plastic Surgery

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The Mallet, Surgical, General and Plastic Surgery (product code GFJ) is a handheld striking instrument used in conjunction with osteotomes, chisels, or other manual instruments to deliver controlled force during bone work in general and plastic surgery procedures. It is classified as an FDA Class 1 device, the lowest risk tier, subject to general controls with no premarket notification required. Regulated under 21 CFR 878.4800 in the General, Plastic Surgery specialty (SU), this device has no special regulatory flags.

510(k) Clearances

3 matches
K Number
Device Name
29-200 TO 29-230 VARIOUS BONE MALLETS(WIHIGER, DOY
MICROTENS 7757 T.E.N.S. STIMULATOR
ENT MALLETS

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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