New tool could help doctors predict recovery after pulmonary embolism

NCT ID NCT05568927

Completed Knowledge-focused Sponsor: University of California, San Diego Source: ClinicalTrials.gov ↗

First seen Jun 27, 2026 · Last updated Jun 27, 2026

Summary

This study tested a step-by-step method called SEARCH to better classify what happens to people long after a pulmonary embolism (a blood clot in the lungs). Researchers looked at 150 adults to see if the method reliably identifies different outcomes, from full recovery to chronic conditions. The goal is to improve follow-up care and make it easier to use these outcomes in future research.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

What this could lead to: If successful, this could give doctors a reliable, cost-effective way to identify different long-term outcomes after a pulmonary embolism, leading to better follow-up care.
What could go wrong: This is an observational study to validate a diagnostic algorithm, not a treatment trial. It is small (150 participants) and completed, so results may not apply to all patients.

This is an AI summary of the original study and may miss details. Read our disclaimer.

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Conditions

The condition(s) this trial relates to.

chronic thromboembolic pulmonary hypertension pulmonary embolism

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CHRONIC THROMBOEMBOLIC PULMONARY HYPERTENSION PULMONARY EMBOLISM

Contacts and locations

Locations

University Hospital, Riverside

Moreno Valley, California, 92555, United States
University of California, Davis

Sacramento, California, 95817, United States
University of California, Irvine

Irvine, California, 92868, United States
University of California, Los Angeles

Los Angeles, California, 90095, United States
University of California, Los Angeles - Harbor

Torrance, California, 90502, United States
University of California, San Diego

San Diego, California, 92103, United States
University of California, San Francisco

San Francisco, California, 94143, United States
University of California, San Francisco-Fresno

Fresno, California, 93701, United States

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