Disease index

deep vein thrombosis

Cardiovascular · 2012–2019

4decisions
3medicines
1carried consumer input
0individual submissions

Every decision

MedicineMeetingOutcomeConsumer input
enoxaparin Prophylaxis or treatment of deep vein thrombosis (DVT) and venous thromboembolism (VTE) prophylaxis, with particular focus on extended VTE prophylaxis in… Mar 2019 Recommended with restriction input received
nadroparin calcium Prophylaxis against DVT associated with general or orthopaedic surgery, treatment of DVT, and prevention of clotting during haemodialysis. Jul 2015 Recommended with restriction none received
rivaroxaban Initial and continuing treatment of confirmed acute symptomatic deep vein thrombosis (DVT) without symptomatic pulmonary embolism (PE), and prevention of… Mar 2012 Recommended with restriction no section in document
rivaroxaban Prevention of stroke and systemic embolism in patients with non-valvular atrial fibrillation at risk of stroke (prior stroke/TIA/non-CNS systemic embolism or… Mar 2012 Recommended with restriction unclear

What the PBS pays

$160M in government benefit over 2024–25, across 3,121,520 services.

This is spend on the medicines considered for this condition, not spend on the disease. A medicine used for several conditions is counted in full under each, so figures across conditions add to more than national PBS expenditure.

MedicineGovernment benefit
rivaroxaban $128M
enoxaparin $32.5M

Appraised elsewhere

NICE, in England and Wales, has appraised 2 technologies for this condition, recommending 2 . A different committee, a different population and a different price: this is what has been looked at there, not a verdict on what happened here.

TechnologyAppraisalOutcomeDate
apixabanApixaban for the treatment and secondary prevention of deep vein thrombosis and/or pulmonary embolism TA341 recommended 2015-06
rivaroxabanRivaroxaban for the treatment of deep vein thrombosis and prevention of recurrent deep vein thrombosis and pulmonary embolism TA261 recommended 2012-07

Conditions are classified by a language model from the indication text of each submission, so an individual label here can be wrong. Consumer input is read from the document's own consumer comments section: 1 of 2 decisions since 2014 carried some. Silence means no comment reached the committee through that facility, not that nobody was affected. More on how this was built.