Literature DB >> 31869505

Clinical pre-test probability adjusted versus age-adjusted D-dimer interpretation strategy for DVT diagnosis: A diagnostic individual patient data meta-analysis.

Sameer Parpia1,2, Sarah Takach Lapner3, Roger Schutgens4, Johan Elf5, Geert-Jan Geersing4, Clive Kearon6,7.   

Abstract

BACKGROUND: To increase the clinical usefulness of the D-dimer test in diagnosis of deep vein thrombosis (DVT), two strategies have been proposed: the age-adjusted, and the clinical pre-test probability (CPTP) adjusted interpretation. However, it is not known which of these strategies is superior.
OBJECTIVE: To conduct an individual patient data (IPD) meta-analysis that compares the sensitivity, specificity, negative predictive value (NPV), and utility (the proportion of all patients who have a negative D-dimer test) when the two strategies are used to interpret D-dimer results.
METHODS: Using an established IPD database, we conducted a meta-analysis to compare the two strategies. A bivariate random effects regression model was used to estimate and compare the pooled sensitivity and specificity simultaneously. The pooled NPV and utility of the two strategies was compared using a univariate random effects model.
RESULTS: Four studies were eligible for this analysis, with a total of 2554 patients. Overall prevalence of DVT was 12% with substantial heterogeneity between studies (P value < .001). Both strategies have high pooled NPVs (99.8%) with a difference of 0% (95% confidence interval [CI]: -0.1, 0.1). The difference between the pooled specificity of the CPTP-adjusted strategy (57.3%) and the age-adjusted strategy (54.7%) was 2.6% (95% CI: -7.7, 12.8). The CPTP-adjusted strategy (49.4%) has a marginally greater pooled utility compared with the age-adjusted approach (47.4%), with a pooled difference of 1.9% (95% CI: -0.1, 3.9).
CONCLUSIONS: Both D-dimer interpretation strategies were associated with a high and similar NPV, and similar utility.
© 2019 International Society on Thrombosis and Haemostasis.

Entities:  

Keywords:  D-dimer; clinical pre-test probability; deep vein thrombosis; diagnosis; meta-analysis

Mesh:

Substances:

Year:  2020        PMID: 31869505     DOI: 10.1111/jth.14718

Source DB:  PubMed          Journal:  J Thromb Haemost        ISSN: 1538-7836            Impact factor:   5.824


  3 in total

1.  Cost-Effective Machine Learning Based Clinical Pre-Test Probability Strategy for DVT Diagnosis in Neurological Intensive Care Unit.

Authors:  Li Luo; Ran Kou; Yuquan Feng; Jie Xiang; Wei Zhu
Journal:  Clin Appl Thromb Hemost       Date:  2021 Jan-Dec       Impact factor: 2.389

2.  Clinical Study on the Screening of Lower Extremity Deep Venous Thrombosis by D-Dimer Combined with RAPT Score Among Orthopedic Trauma Patients.

Authors:  Xin Zhao; Salma Juma Ali; Xiguang Sang
Journal:  Indian J Orthop       Date:  2020-09-28       Impact factor: 1.251

3.  Safety of a strategy combining D-dimer testing and whole-leg ultrasonography to rule out deep vein thrombosis.

Authors:  Synne G Fronas; Camilla T Jørgensen; Anders E A Dahm; Hilde S Wik; Jostein Gleditsch; Nezar Raouf; René Holst; F A Klok; Waleed Ghanima
Journal:  Blood Adv       Date:  2020-10-27
  3 in total

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