Algorithm aims to spot rare heart disease in medical records
NCT ID NCT04569903
First seen Jun 26, 2026 · Last updated Jun 26, 2026
Summary
This study aimed to test a computer algorithm that uses insurance claims data to identify people with ATTR amyloidosis, a rare disease that affects the heart and nerves. Researchers planned to check how well the algorithm worked by reviewing medical records. However, the study was withdrawn before any participants were enrolled.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Computer algorithm for ATTR
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Phase
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Early phase 1
The earliest testing in people: a first look at safety, in a very small group.
- Started
-
Aug 2022
- Finished
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Feb 2025
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
- Ages
-
18 years and older
- Sex
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Anyone
- Healthy volunteers
-
Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
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Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Identified by the ATTR diagnostic algorithm and matched by Yale's list of potential subjects defined as: 1. subjects within the claims dataset that are predicted to be at risk of having ATTR who are also being managed within YNHHS 2. patients who need to be contacted and offered additional clinical evaluation to determine whether they have a diagnosis of ATTR (non-hereditary or Hereditary ATTR amyloidosis). Exclusion Criteria: * Patients who have opted out of research in the Epic system will be excluded entirely from the study * Patients who are pregnant or who may become pregnant
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
-
Yale New Haven Hospital
New Haven, Connecticut, 06520, United States
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Other studies related to the condition(s) this trial covers.
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