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uniQure N.V.

Activate two additional recruitment sites for the AMT-260 clinical trial

Not delivered by the deadline

AI-assessed · human review in progress Found and assessed by AI from the cited sources. Shown with its evidence; it is not counted in any Kept Score until confirmed.

Announced
5 Nov 2024
Due
31 Dec 2024
Checked
7 Oct 2026
  • Deadline
  • Met
  • Late
  • Not met
  • Today

What the company said

“an additional two sites expected to be activated by the end of 2024.”
  • SourceuniQure N.V. Form 8-K press release, 2024-11-05
  • FilingSEC filing index
  • Deadline as statedby the end of 2024
  • Deadline used31 Dec 2024, the last day of the stated period
  • TypeProject
  • Permanent referenceKI-C-2024-QURE-001893
    Cite as https://keptindex.org/c/KI-C-2024-QURE-001893/ — this address never changes.

What we found

Evidence strength A What the grades mean

Company promised two additional AMT-260 trial sites by end of 2024 but later reset the timeline to end of 2025.

  • A
    uniQure Q3 2024 Financial Results and Highlights Regulatory filing · published 5 Nov 2024 · retrieved 7 Oct 2026 · kept permanently by the SEC · fingerprint 941c07135e56
    “The Company is rapidly activating recruitment sites with 10 centers currently open and an additional two sites expected to be activated by the end of 2024.” ✓ confirmed on the page
  • B
    uniQure Presents Clinical Case Study of First Patient Dosed with AMT-260 Company website · published 29 May 2025 · retrieved 7 Oct 2026
    “The study is actively screening additional patients throughout 12 sites, with additional sites expected to be activated by the end of 2025.”

Checked 7 Oct 2026.

Commitment DNA

The structured record of this commitment. Fields the company did not state are left blank rather than guessed.

Event type
Project other
Indicative materiality
Low rules
Action
Activate
Deliverable
Two additional recruitment sites
Language
Expected (“expects”, “plans”)
In the company’s control
High
Specificity
High

How this entry was checked

  1. Commitment recordedThe company's words were matched word for word against the filing.
  2. First checkAn AI model, Claude (Anthropic), read the company's later filings and recorded the outcome with a quoted passage.
  3. Second check: agreesA different AI model, Gemini (Google), re-read the evidence without being told the outcome and reached the same answer.
  4. Third check on a negative finding: disagreesBecause a negative finding could harm a company if wrong, a stronger model re-read the evidence fully blind and read it as “no_evidence”, so a person decides.

Not yet confirmed. Shown on the record, but it will not count in any score until it is confirmed. How verification works

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