Use of Prophylaxis for Prevention of Venous Thromboembolism in Patients with Isolated Foot or Ankle Surgery: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Although prophylaxis for venous thromboembolism (VTE) is recommended after many surgeries, evidence base for use of VTE prophylaxis after foot or ankle surgery has been elusive, leading into varying guidelines recommendations and notable practice variations. We conducted a systematic review of the literature to determine if use of VTE prophylaxis decreased the frequency of subsequent VTE, including deep vein thrombosis (DVT) or pulmonary embolism (PE), compared with control. We searched PubMed, the Cochrane Central Register of Controlled Trials, and ClinicalTrials.gov through May 2018, for randomized controlled trials (RCTs) or prospective controlled observational studies of VTE prophylaxis in patients undergoing foot and ankle surgery. Our search retrieved 263 studies, of which 6 were finally included comprising 1,600 patients. Patients receiving VTE prophylaxis had lower risk for subsequent DVT (risk ratio [RR]: 0.72; 95% confidence interval [CI]: 0.55-0.94) and subsequent VTE (RR: 0.72; 95% CI: 0.55-0.94). There was only one case of nonfatal PE, no cases of fatal PE, and no change in all-cause mortality (RR: 3.51; 95% CI: 0.14-84.84). There was no significant difference in the risk for bleeding (RR: 2.12; 95% CI: 0.53-8.56). Very few RCTs exist regarding the efficacy and safety of VTE prophylaxis in foot and ankle surgery. Prophylaxis appears to reduce the risk of subsequent VTE, but the event rates are low and symptomatic events are rare. Future studies should determine the subgroups of patients undergoing foot or ankle surgery in whom prophylaxis may be most useful.
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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 | 0.009 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.032 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".