NeuroAlert.

Methodology

How signals are collected, filtered, and presented

This page explains, in plain terms, how the data on NeuroAlert is gathered and why certain records are included or excluded. Transparency about method is essential because post-market surveillance data is easily misinterpreted.

Data sources

Device whitelist (inclusion)

Rather than keyword matching — which pulls in unrelated products — NeuroAlert filters by regulatory product classification. The U.S. whitelist includes the following FDA product codes:

Exclusions

Codes that share keywords with neurovascular devices but are clinically unrelated are deliberately excluded — for example surgical staplers (GDW) and continuous-flush catheters (KRA). Japanese peripheral-vascular generic names and open-surgical aneurysm clips are likewise excluded.

Critical limitations

Post-market reports have no denominator (no procedure or sales volume). Counts therefore do not represent incidence rates, device risk, or manufacturer quality. A higher count often reflects wider use or better reporting, not a less safe device. These data are for signal awareness only.

Reports may be duplicated across reporters, dates are sometimes missing or approximate, and a record's presence does not establish that a device caused harm. NeuroAlert presents records as-is from the source agencies and does not adjudicate causality.