FDA · 510(k) · Clinical evidence
Most 510(k)s clear on a predicate. The ones that need clinical data are where programmes stall. Know when you need a study, how to design one that holds up, and how substantial equivalence sets the evidence bar.
European Champion
Platinum Award 2026
Eclevar MedTech & Milo Health · xShare × EUCROF Open Call
Led by authority
A 510(k) study succeeds or fails on its protocol. Ours are designed and reviewed by clinicians who understand both the science and the regulator’s questions.
Cardiac surgeon and former lead Notified Body reviewer; 400+ devices through regulatory clearance.
in LinkedIn
Sample size, endpoints and statistical analysis plans; architect of the MILO EDC, 21 CFR Part 11.
Awards, funding, accountability
Top tier at the xShare × EUCROF Open Call, awarded to Eclevar MedTech and its Milo Health platform, presented at EUCROF 2026 in Amsterdam.
The announcement →Selected through the xShare Open Call for clinical research innovation, Horizon Europe.
xShare results →Distinction confirmed by an independent third party, the CVBF, also an awardee of the xShare × EUCROF Open Call.
CVBF coverage →What this guide covers
The route
In the United States, the FDA uses the 510(k) clearance process to evaluate new medical devices before they reach the market. The submission stands or falls on how well it demonstrates safety, effectiveness and substantial equivalence — and, where required, on the quality of the clinical evidence.
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A 510(k) is a premarket notification to the FDA. It contains detailed information about the device — intended use, design, and any clinical testing results — and the FDA reviews it to determine whether the device is safe and effective for its intended use, by comparison to a legally marketed predicate.
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Not every 510(k) needs a clinical study. Clinical data becomes necessary when substantial equivalence cannot be shown by bench and comparison data alone — typically when new or different technological characteristics raise questions of safety or effectiveness. Getting this decision right early is the single biggest driver of cost and timeline.
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When a study is required, the protocol is everything. A well-designed protocol keeps the study safe and the results accurate and reliable, and it anticipates the reviewer’s questions.
Clear primary and secondary objectives aligned with the intended use and regulatory requirements.
Specific patient-population criteria for homogeneity and relevance to the intended use.
Powered for the expected effect size and acceptable significance level.
Clinically relevant, objective endpoints that demonstrate safety and effectiveness.
Standardised procedures for collection, management and quality assurance.
Pre-specified methods for analysis, hypothesis testing and interpretation.
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The protocol must be reviewed and approved by an Institutional Review Board (IRB) to protect participants, confirm scientific validity and check regulatory compliance before enrolment. Manufacturers then follow strict rules for documentation and reporting — study protocols, clinical study reports and supporting records submitted to the FDA.
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The entire 510(k) is built around a predicate device. The closer your device’s intended use and technological characteristics are to that predicate, the less clinical data you usually need. So the choice of predicate is a strategic decision that directly sets the evidence burden — make it deliberately, not by default.
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The programmes that go smoothly decide the clinical-data question up front, choose the predicate on purpose, and design endpoints and sample size the reviewer will accept. Our biometry and clinical teams build the protocol, run it on a validated EDC to 21 CFR Part 11, and prepare the reporting so the 510(k) reads the way an FDA reviewer wants to read it.
Get the decision right early
Talk to a specialist
Book a free scoping call. We tell you whether your device needs clinical data, help you choose the predicate, and design a protocol the FDA accepts.
Book a free scoping callAn expert read tells you whether your 510(k) needs clinical data, which predicate minimises the evidence burden, and how to design a protocol that clears review the first time.
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