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.

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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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Product Code: LLG FDA class 2

Kit, Igg, Platelet Associated

Hematology

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Kit, IgG, Platelet Associated is a diagnostic kit used to measure IgG immunoglobulins associated with platelet surfaces, used in the evaluation of immune-mediated thrombocytopenia, such as idiopathic thrombocytopenic purpura (ITP), where antibodies directed against platelets accelerate their destruction. It is classified as FDA Class 2, indicating moderate risk, and requires 510(k) premarket clearance. The product code is LLG, regulated under 21 CFR 864.5425, within the Hematology medical specialty. This device is eligible for third-party 510(k) review.

510(k) Clearances

2 matches
K Number
Device Name
GENERAL DIAGNOSTICS PLATELET ANTIBODY
RAPID IMMUNO-ASSAY SYS

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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