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.

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.

Free to try · every answer cites its records

Product Code: GAK FDA class 2

Suture, Absorbable

General, Plastic Surgery

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The Suture, Absorbable (product code GAK) is a surgical suture material that is designed to be gradually broken down and absorbed by the body over time, eliminating the need for removal after wound healing. It is classified as FDA Class 2, indicating moderate risk, and requires a 510(k) premarket notification before marketing. The device is regulated under 21 CFR 878.4830 in the General, Plastic Surgery specialty (SU). This device carries an implant designation, as it is placed within body tissue during surgical wound closure.

510(k) Clearances

1 matches
K Number
Device Name
DEXON DISSECTING SPONGE

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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