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.

Product Code: HNC FDA class 1

Specula, Ophthalmic

Ophthalmic

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The Ophthalmic Specula are eyelid retractors used to hold the eyelids open during ophthalmic examinations or surgical procedures, allowing unobstructed access to the ocular surface and anterior segment. It is classified as FDA Class 1, the lowest risk category, subject only to general controls without a premarket notification requirement. The product code is HNC, regulated under 21 CFR 886.4350, within the Ophthalmic medical specialty. No special risk flags apply to this device.

510(k) Clearances

11 matches
K Number
Device Name
STEPHENS DISPOSABLE SPECULUM
OCULOSTAT
EYE FIXATION SPECULUM
THORNTON TITANIUM SPECULUM (MODIFIED BARRAQUER)
OPHTHALMIC SURGICAL SPECULUM
VISITEC EYE SPECULUM
EYELID SPECULUM
ASNIS GUIDED SCREW SYSTEMS
FELDSTEIN BLEPHAROPLASTY CLIP SHARP P
FELDSTEIN BLEPHAROSTOMY CLIP SQUARE
FELDSTEIN BLEPHAROPLASTY CLIP RECTANGU

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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