Safety and efficacy of pharmacologic thromboprophylaxis following blunt head injury
Bibliographic record
Abstract
BACKGROUND: Patients with blunt head injury are at high risk of venous thromboembolism. However, pharmacologic thromboprophylaxis (PTP) may cause progression of intracranial hemorrhage, and clinicians must often weigh up the risks and benefits. This review aimed to determine whether adding PTP to mechanical prophylaxis confers net benefit or harm and the optimal timing, dose, and agent for PTP in patients with blunt head injury. METHODS: We searched MEDLINE, EMBASE, The Cochrane Library Central Register of Controlled Trials (CENTRAL), and www.clinicaltrials.gov on April 24, 2013, to identify controlled studies and ongoing trials that assessed the efficacy or safety of thromboprophylaxis interventions in the early management of head-injured patients. Studies were classified based on types of interventions and comparisons, and the quality of included studies was assessed using Cochrane risk-of-bias tool and the Newcastle-Ottawa Quality Assessment Scale. We intended to undertake a meta-analysis if studies were sufficiently similar. RESULTS: Sixteen studies met the inclusion criteria, including four randomized controlled trials. At least two randomized controlled trials were at high risk of bias owing to inadequate randomization and concealment of allocation, and observational studies were potentially confounded by substantial differences between comparison groups. Heterogeneity of included studies precluded meta-analysis. Results were mixed, with some studies supporting and others refuting addition of PTP to mechanical interventions. Little evidence was available about dose or choice of agent. The safety and efficacy of early PTP in patients without early progression of hemorrhage is unclear. CONCLUSION: There is currently insufficient evidence to guide thromboprophylaxis in patients with blunt head injury. Standardized definitions and outcome measurements would facilitate comparison of outcomes across future studies. Studies in mixed populations should report head-injured specific subgroup data. Future randomized controlled trials should investigate the efficacy and safety of early pharmacologic prophylaxis in addition to mechanical intervention. LEVEL OF EVIDENCE: Systematic review, level IV.
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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 | 0.012 | 0.059 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| 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".