New tool could cut risky, costly lung clot scans in ERs
NCT ID NCT06320236
First seen Jun 27, 2026 · Last updated Jun 27, 2026
Summary
This study tests a new bedside tool called Adjust-Unlikely to safely reduce unnecessary imaging for pulmonary embolism (a blood clot in the lungs) in emergency patients. Researchers will enroll 4,000 adults in Canada to see if the tool accurately identifies who does not need a scan. The goal is to avoid radiation, cost, and false positives while still catching dangerous clots.
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.
- Participants
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About 4,000 people
The number the study aims to enrol. It can still change while the study runs.
- Started
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Jan 2024
- Expected to finish
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Sep 2027
An estimate. End dates often move.
- 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.
Who is studied
Emergency department patient who is tested by an emergency physician for PE.
- Ages
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18 years and older
- Sex
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Anyone
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: * Emergency department patient who is tested by an emergency physician for PE Exclusion Criteria: * Patient is \< 18 years of age * No documentation of whether PE is the most likely diagnosis * D-dimer is not tested or else not resulted during the emergency visit * The D-dimer level is known before documentation of whether PE is the most likely diagnosis * The D-dimer is ordered prior to the physician assessing the patient * The patient has previously registered that they opt out of all research at the participating site * The patient leaves against medical advice * The patient has had PE or deep vein thrombosis imaging (CT pulmonary angiogram, ventilation-perfusion scan or lower limb ultrasound) within prior 30 days * There is a new (non-PE) indication for anticoagulation * The patient was initiated on treatment for presumed PE prior to PE testing * The patient has previously been enrolled into the study * The patient has a prior history of lower extremity deep vein thrombosis without availability of a baseline ultrasound scan * The patient was transferred from another hospital organization * The patient does not reside in Ontario * The patient has no valid Ontario Health Insurance Plan card
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
2 sites. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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Hamilton Health Sciences Corporation
RECRUITINGHamilton, Ontario, L8L 2X2, Canada
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Kingston Health Sciences Centre
RECRUITINGKingston, Ontario, K7L 2V7, Canada
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London Health Sciences Centre Research Inc
ACTIVE_NOT_RECRUITINGLondon, Ontario, Canada
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Ottawa Hospital Research Institute
ACTIVE_NOT_RECRUITINGOttawa, Ontario, K1Y 4E9, Canada
More trials for these conditions
Other studies related to the condition(s) this trial covers.
- Can MRI replace surgery for staging bladder cancer?
- Can electronic alerts and patient teaching stop deadly clots after cancer surgery?
- Can a new Five-Category system predict which pulmonary embolism patients will crash?
- AI reads routine heart tests to predict artery blockages
- Can a glowing mouthwash spot oral cancer before biopsy?
- A new exercise plan aims to get pulmonary embolism survivors back on their feet