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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Transvenous Temporary Phrenic Nerve Stimulator
Unknown
A transvenous temporary phrenic nerve stimulator is a Class III device (PMA required) that is transiently implanted transvenously to stimulate the phrenic nerves, improving weaning from mechanical ventilation in adult patients (18 years or older); the device is temporary, intended for use less than 30 days. As a Class III device without an assigned regulation number, it required Premarket Approval, reflecting the high risk of its novel intravascular nerve stimulation mechanism. The product code is SDL, reviewed by the Anesthesiology panel; the device is not flagged as an implant per the record and does not support life-sustaining functions per the record.
No 510(k) clearances found for "SDL". Try a different K-number, product code, or device name.
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.