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: OIF FDA class 2

Tyrosine Phosphatase (Ia-2) Autoantibody Assay

Immunology

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The Tyrosine Phosphatase (IA-2) Autoantibody Assay is an in vitro diagnostic device used for the semi-quantitative detection of autoantibodies against the islet antigen tyrosine phosphatase IA-2 in human serum, serving as an aid in the diagnosis of Type 1 diabetes mellitus (autoimmune-mediated diabetes). Classified as FDA Class 2 under regulation 21 CFR 866.5660 within the Immunology medical specialty, it requires a 510(k) premarket notification and is eligible for third-party review. The product code is OIF. It is not flagged as an implant or life-sustaining device.

510(k) Clearances

3 matches
K Number
Device Name
KRONUS IA-2 Autoantibody (IA-2Ab) ELISA Kit
KRONUS IA-2 Autoantibody (IA-2Ab) ELISA Kit
KRONUS IA-2 AUTOANTIBODY RIA ASSAY KIT

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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