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Record W2443612236 · doi:10.1182/blood.v104.11.492.492

A Prospective Cohort Study of the Epidemiology of Symptomatic Venous Thromboembolism (VTE) after Isolated Leg Fractures Distal to the Knee without Thromboprophylaxis.

2004· article· en· W2443612236 on OpenAlexaffabout
Rita Selby, William Geerts, Mark Crowther, Hans J. Kreder, M. Leontien van der Bent, Emil H. Schemitsch, Peter Weiler

Bibliographic record

VenueBlood · 2004
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicinePulmonary embolismProspective cohort studySurgeryAsymptomaticVenographyIncidence (geometry)Deep veinThrombosisCohortInternal medicine

Abstract

fetched live from OpenAlex

Abstract The reported incidence of deep vein thrombosis (DVT) using routine venography in patients with isolated leg fractures distal to the knee is as high as 40%. However venography is a very sensitive screening test primarily detecting asymptomatic, distal thrombi whose clinical relevance is uncertain. Therefore venography may not be the best outcome measure to assess the clinical burden of symptomatic VTE, or as an endpoint for trials of thromboprophylaxis. We report preliminary results from the first, multicenter, prospective study designed to define the incidence of symptomatic VTE in patients with such fractures. From August 2002 to April 2004, 1808 consecutive patients with fractures of the patella, fibula and foot (treated conservatively or operatively) and tibial fractures (treated non operatively) were screened for entry at 5 hospitals in Ontario, Canada. Patients were enrolled after informed consent was obtained, in person or by telephone, within 96 hours of the injury. Patients with major trauma, active cancer and previous VTE were excluded. Thromboprophylaxis was not allowed. Patients were followed prospectively for 3 months, with telephone calls at 14 days, 6 weeks and 3 months. Education regarding symptoms of DVT and pulmonary embolism (PE) was provided at study entry and patients were asked about specific symptoms at follow up. Suspected DVT and PE were investigated in a standardized manner. At the time of this writing, 826 enrolled patients have completed 3 months of follow up. The mean age was 45 years (range 16 to 93) and 59.5% of this cohort was female. Most injuries were caused by falls (75%), followed by sports injuries (16%), vehicular accidents (5%) and occupational injuries (4%). 15% of patients had other minor injuries. 99% of these fractures were unilateral and 97% were closed. Fractures of the fibula were the commonest (38%), followed by metatarsal (29%), phalanges (13%), calcaneus, talus or tarsal (10%), tibia (10%) and patella (7%). Only 11% of fractures were surgically treated. 88% of patients received a cast or splint for a mean duration of 41 ± 20 days. Four patients received anticoagulant prophylaxis (outside study protocol) for subsequent major surgery for another reason within the study period. Complete follow up was available for 97.5% of this cohort. 2.5 % of patients either withdrew consent for the follow up or could not be contacted despite numerous attempts at follow up. By 3 months, only 7 patients had sustained a symptomatic VTE (2 proximal DVT, 3 calf DVT, 2 PE) with no fatal PE - an incidence of 0.9% (95% C.I. 0.3 to 1.8%). So far, our results provide reassurance that symptomatic and fatal VTE are infrequent complications after these fractures without thromboprophylaxis, and highlight the discrepancy between clinical endpoint studies and studies using venography. They also suggest that routine thromboprophylaxis may not be warranted in these patients. Despite the large sample size, the low event rate does not allow us to define a subgroup of patients who may be at higher risk for VTE.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.009
GPT teacher head0.273
Teacher spread0.264 · 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
GenreEmpirical

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

Citations7
Published2004
Admission routes2
Has abstractyes

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