Is pretest probability assessment on emergency department patients with suspected venous thromboembolism documented before SimpliRED D-dimer testing?
Bibliographic record
Abstract
BACKGROUND: The SimpliRED D-dimer assay is commonly ordered by emergency physicians for suspected pulmonary embolus or deep venous thrombosis. A pretest probability (PTP) assessment is required for the results of this diagnostic test to be interpreted correctly and applied appropriately. Without this assessment, the physician may misinterpret the test results and proceed to unnecessary diagnostic imaging (DI) or inappropriate discharge. Our objectives were to measure the documentation rate of PTP for emergency department (ED) patients on whom a SimpliRED D-dimer assay was performed for suspected venous thromboembolism (VTE) and to determine if the clinical management decisions that followed were in keeping with current recommendations. METHODS: In this medical record review, we used a random number generator to select 100 charts from all 760 patients who had a SimpliRED D-dimer performed during a 3-month period at an academic tertiary care centre with 3 EDs. Trained data abstractors, blinded to the study hypothesis, abstracted explicitly defined data from each chart. An independent abstractor assessed the reliability of 15 of the charts that were randomly chosen. RESULTS: Suspicion of VTE was documented in 97 of the 100 charts. There was no documentation of PTP assessment for 62 of the 97 cases. Ten had a positive D-dimer but 5 of these had no evidence of subsequent DI. Of the 97 charts reviewed, 24 documented decisions were in discordance with published clinical management recommendations for VTE. CONCLUSION: In the majority of ED cases of suspected VTE, PTP assessment was not documented and approximately one-quarter of these documented decisions were in discordance with established recommendations for the given test results. This suggests that PTP assessments are not being conducted in a significant proportion of cases and the diagnostic test results are misinterpreted, applied incorrectly or both.
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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 | 0.006 | 0.087 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".