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: EKR FDA class 1

Plugger, Root Canal, Endodontic

Dental

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The Endodontic Root Canal Plugger is a blunt-ended instrument used to compact and vertically condense gutta-percha or other filling materials within the root canal space during obturation, ensuring a dense apical fill. It is classified as FDA Class 1 (lowest risk), subject only to general controls. The product code is EKR, regulated under 21 CFR 872.4565 in the Dental (DE) specialty.

510(k) Clearances

6 matches
K Number
Device Name
B&L L-BETA, MODEL WL-B1
OBTURA GUTTA PERCHA DELIVERY SYSTEM, MODEL 823-700
ELEMENTS OBTURATION UNIT
ENDODONTIC ROOT CANAL PLUGGER
ENDODONTIC ROOT CANAL PLUGGER FINGER-
MCSPADDEN CONDENSOR

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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