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Record W2987006660 · doi:10.1182/blood-2019-122617

A Review of Inappropriate D-Dimer Ordering at a Canadian Tertiary Care Centre

2019· review· en· W2987006660 on OpenAlexaffabout
Monika Oliver, Mohammad Karkhaneh, Jacqueline Karathra, Mariam Goubran, Cynthia Wu

Bibliographic record

VenueBlood · 2019
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicinePulmonary embolismPre- and post-test probabilityD-dimerDeep veinEmergency departmentVenous thromboembolismPulmonary angiographyThrombosisRadiologyEmergency medicineSurgeryPediatrics

Abstract

fetched live from OpenAlex

Introduction The D-dimer has been validated for use in the diagnosis of venous thromboembolism (VTE). The high sensitivity of the assay allows for safe exclusion of VTE in patients with low pre-test probability. Pre-test probability scores such as the Wells score for Deep Vein Thrombosis (DVT) and Pulmonary Embolism (PE) have been established to help guide physicians on when to order a D-dimer in patients with suspected VTE. We sought to explore the landscape of D-dimer ordering at our institution and what clinical circumstances trigger D-dimer ordering. Methods We conducted a retrospective chart review of 237 patients in whom a D-dimer has been ordered over a 3-month period from January to March 2018 at the University of Alberta Hospital, Edmonton, Canada. Charts were reviewed for the following parameters: Specialty of ordering physician, apparent indication for ordering, patient risk factors for VTE and evidence of pre-test probability calculation. If no pre-test probability was recorded, we retrospectively calculated Wells DVT or PE scores depending on the apparent indication. We then reviewed subsequent investigations thought to be influenced by interpretation of the D-dimer. These included ventilation/perfusion scans (V/Q scan), ultrasound Doppler studies and Computerized Tomography pulmonary angiography (CTPA). Results Of the 237 charts reviewed, 84.4% of D-dimers were ordered in the Emergency Department while only 14.3% were drawn on admitted patients. Sixty-nine percent of the patients were identified as having at least one risk factor for the development of VTE with prolonged hospitalization (5.5%) and personal history of VTE (4.2%) being the most common. Indication for ordering was suspected VTE in 76.3% of patients while the indications was unclear in 12.7% of patients. An initial pre-test probability score was recorded for only 3 patients. Of the D-dimers ordered, 47.7% were above the upper limit of normal (≥ 0.50 mg/L) and considered a positive test. Forty five CTPAs and 27 V/Q scans were performed with only 4 (1.69%) and 6 (2.53%) confirming the presence of pulmonary emboli, respectively. Doppler ultrasounds were performed on 18 patients (7.6%) with only one confirming a DVT. Conclusions Our data shows that the majority of physicians at our institution fail to utilize pre-test probability tools prior to ordering a D-dimer. This leads to unnecessary costs, overuse of imaging studies and results in low rates of positive scans. Disclosures Wu: Bayer: Other: Local PI for trial ; BMS-Pfizer: Other: Local PI for trial ; Daiichi-Sankyo: Other: Local PI for trial .

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.219
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.009
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.025
GPT teacher head0.293
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreReview

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".

Quick stats

Citations2
Published2019
Admission routes2
Has abstractyes

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