Background: D-Dimer testing is sensitive but not specific for diag-nosing deep venous thrombosis (DVT). Changing the use of testing and the threshold level for a positive test result on the basis of risk for DVT might improve the tradeoff between sensitivity and spec-ificity and reduce the need for testing. Objective: To determine whether using a selective D-dimer testing strategy based on clinical pretest probability (C-PTP) for DVT is safe and reduces diagnostic testing compared with using a single D-dimer threshold for all patients. Design: Randomized, multicenter, controlled trial. Patients were allocated using a central automated system. Ultrasonographers and study adjudicators but not other study personnel were blinded to trial alloca...
AbstractConclusionk/ST>The combination of a d-dimer assay and a clinical prediction model of the pos...
Background: The use of D-dimer assays as a rule-out test for deep venous thrombosis (DVT) is controv...
Introduction: Clinical algorithms consisting of pre-test probability estimation and D-dimer testing ...
Background: Several strategies for safely excluding deep vein thrombosis (DVT) while limiting the nu...
Guidelines for the diagnostic workup of deep vein thrombosis (DVT) recommend assessing the clinical ...
Background Current guidelines recommend the use of clinical decision rules, such as Wells score, in...
OBJECTIVES: To investigate the reliability of a combined strategy of clinical assessment score follo...
Abstract Objectives: To investigate the reliability of a combined strategy of clinical assessment sc...
D-dimer tests are an essential element in the diagnostic work-up of deep venous thrombosis (DVT). Ho...
Background: Deep venous thrombosis is a common disorder associated with significant morbidity, chron...
jective testing is required to confirm or refute the diagnosis. Objective: To determine whether the ...
cently been introduced to enable rapid exclusion of deep venous thrombosis (DVT) without the need to...
cently been introduced to enable rapid exclusion of deep venous thrombosis (DVT) without the need to...
ObjectiveThis study investigated the prevalence and distribution of deep vein thrombosis (DVT) in pa...
In patients presenting in primary care with suspected deep vein thrombosis (DVT), does a point-of-ca...
AbstractConclusionk/ST>The combination of a d-dimer assay and a clinical prediction model of the pos...
Background: The use of D-dimer assays as a rule-out test for deep venous thrombosis (DVT) is controv...
Introduction: Clinical algorithms consisting of pre-test probability estimation and D-dimer testing ...
Background: Several strategies for safely excluding deep vein thrombosis (DVT) while limiting the nu...
Guidelines for the diagnostic workup of deep vein thrombosis (DVT) recommend assessing the clinical ...
Background Current guidelines recommend the use of clinical decision rules, such as Wells score, in...
OBJECTIVES: To investigate the reliability of a combined strategy of clinical assessment score follo...
Abstract Objectives: To investigate the reliability of a combined strategy of clinical assessment sc...
D-dimer tests are an essential element in the diagnostic work-up of deep venous thrombosis (DVT). Ho...
Background: Deep venous thrombosis is a common disorder associated with significant morbidity, chron...
jective testing is required to confirm or refute the diagnosis. Objective: To determine whether the ...
cently been introduced to enable rapid exclusion of deep venous thrombosis (DVT) without the need to...
cently been introduced to enable rapid exclusion of deep venous thrombosis (DVT) without the need to...
ObjectiveThis study investigated the prevalence and distribution of deep vein thrombosis (DVT) in pa...
In patients presenting in primary care with suspected deep vein thrombosis (DVT), does a point-of-ca...
AbstractConclusionk/ST>The combination of a d-dimer assay and a clinical prediction model of the pos...
Background: The use of D-dimer assays as a rule-out test for deep venous thrombosis (DVT) is controv...
Introduction: Clinical algorithms consisting of pre-test probability estimation and D-dimer testing ...