ArticleBlood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis2017
Validation of STA-Liatest D-Di assay for exclusion of pulmonary embolism according to the latest Clinical and Laboratory Standard Institute/Food and Drug Administration guideline. Results of a multicenter management study.
Article in Blood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Systematic review and meta-analysis of test accuracy for the diagnosis of suspected pulmonary embolism.Blood advances · 2020Pooled it
- Validation of the STA-Liatest DDi assay for exclusion of proximal deep vein thrombosis according to the latest Clinical and Laboratory Standards Institute/Food and Drug Administration guideline: results of a multicenter management study.Blood coagulation & fibrinolysis : an international journal in haemostasis and thrombosis · 2018Trial
- Raising the D-dimer bar: a narrative review of the age-adjusted D-dimer threshold.Research and practice in thrombosis and haemostasis · 2026Review
- Strategies to Reduce Advanced Imaging in Antenatal Pulmonary Embolism Diagnostics.JAMA network open · 2025Article
- Two point-of-care test-based approaches for the exclusion of deep vein thrombosis in general practice: a cost-effectiveness analysis.BMC primary care · 2023Article
- Deep vein thrombosis and pulmonary embolism: a prospective, observational study to evaluate diagnostic performance of the Tina-quant D-Dimer Gen.2 assay.Frontiers in cardiovascular medicine · 2023Article
- D-dimer Testing in Pulmonary Embolism with a Focus on Potential Pitfalls: A Narrative Review.Diagnostics (Basel, Switzerland) · 2022Review
- Article
- [Pulmonary embolism during SARS-CoV-2 pandemic: clinical and radiological features].Revista clinica espanolaArticle
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
: Combined clinical pretest probability (PTP) and D-dimer testing have great diagnostic value for pulmonary embolism exclusion. To harmonize performance levels of D-dimer assays available on the market, the Clinical and Laboratory Standard Institute (CLSI) has published a guideline, endorsed by the US Food and Drug Administration (FDA). Such guideline specifies the ideal D-dimer assay characteristic and target population. This study was conducted following the CLSI guideline to upgrade the assay-intended use and obtain FDA clearance of STA-Liatest D-Di assay for pulmonary embolism exclusion in patient with low/moderate PTP. This was an international, multicenter, prospective nonrandomized, noninterventional clinical outcome management study conducted in a standard of care setting. D-dimer assay was performed in consecutive, ambulatory outpatients suspected of pulmonary embolism, with low/moderate PTP, and without medical conditions or in clinical settings known to alter default D-dimer values regardless of the presence of thrombosis using a threshold of 0.5 μg/ml (fibrinogen equivalent units) for venous thromboembolism exclusion. Results were used to determine test performance. Of 1141 patients who underwent D-dimer testing, 1060 had valid results and completed study as planned. STA-Liatest D-Di assay performance has exceeded the CLSI/FDA guidance requirements, with a sensitivity of 97.6% (95% confidence interval: 91.7-99.7%) and a negative predictive value of 99.7% (95% confidence interval: 99.0-100%). STA-Liatest D-Di assay has an excellent performance when used in combination with a PTP score in relevant patients and has the potential to minimize the economic healthcare burden avoiding unnecessary and expensive imaging tests.
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