A Negative D-dimer Excludes Recurrent Deep Vein Thrombosis: Results of a Multicentre Management Study.
Bibliographic record
Abstract
Abstract The high frequency of residual radiologic abnormalities after initial deep vein thrombosis (DVT) makes management of patients with suspected recurrence difficult. D-dimer (DD) and serial compression ultrasonography (CUS) of the proximal veins have a high sensitivity and negative predictive value (NPV) in suspected first DVT. We hypothesized that it would be safe to withhold anticoagulation in patients with suspected recurrence who had a negative sensitive DD or negative serial CUS when DD testing was positive. In a multicentre prospective cohort study, patients underwent DD testing with an immunoturbidometric assay (MDA DD). If the DD was negative (<0.5 ug fibrinogen equivalent units [FEU]/mL), patients had no further testing. If the DD was positive, CUS was performed and, if normal, repeated after 1–3 and 7–10 days. Patients with a positive DD and abnormal CUS at presentation were managed as per their treating physician. Patients were followed for 3 months to detect venous thromboembolism (VTE) and suspected VTE were adjudicated centrally. Of the 504 patients enrolled in this study, 14 were subsequently deemed ineligible and 2 patients were lost to follow-up. The overall prevalence of confirmed recurrent DVT at presentation or during follow-up was 17%. 230 patients had a negative DD at presentation and, of the 227 evaluable patients, 4 had definite confirmed VTE (NPV of DD = 98%; 95% Confidence Interval [CI], 96–99%). Of the 135 patients with a positive DD and normal initial CUS, serial CUS was negative in 129 cases. Of these patients, 3 had definite VTE during follow-up (NPV of serial CUS in patients with positive DD = 98%; 95% CI, 93–99%). These results suggest that a negative MDA DD result excludes clinically significant recurrent DVT and that anticoagulants can also be safely withheld in patients with negative serial CUS, even if their DD is positive. This simple diagnostic approach can be used to safely manage approximately 70% of patients with suspected recurrent DVT.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".