Disease burden and unmet needs for prevention of venous thromboembolism in medically ill patients in Europe show underutilisation of preventive therapies
Bibliographic record
Abstract
It was the aim of this review to assess the incidence of venous thromboembolism (VTE) and current practice patterns for VTE prophylaxis among medical patients with acute illness in Europe. A literature search was conducted on the epidemiology and prophylaxis practices of VTE prevention among adult patients treated in-hospital for major medical conditions. A total of 21 studies with European information published between 1999 and April 2010 were retrieved. Among patients hospitalised for an acute medical illness, the incidence of VTE varied between 3.65% (symptomatic only over 10.9 days) and 14.9% (asymptomatic and symptomatic over 14 days). While clinical guidelines recommend pharmacologic VTE prophylaxis for patients admitted to hospital with an acute medical illness who are bedridden, clear identification of specific risk groups who would benefit from VTE prophylaxis is lacking. In the majority of studies retrieved, prophylaxis was under-used among medical inpatients; 21% to 62% of all patients admitted to the hospital for acute medical illnesses did not receive VTE prophylaxis. Furthermore, among patients who did receive prophylaxis, a considerable proportion received medication that was not in accord with guidelines due to short duration, suboptimal dose, or inappropriate type of prophylaxis. In most cases, the duration of VTE prophylaxis did not exceed hospital stay, the mean duration of which varied between 5 and 11 days. In conclusion, despite demonstrated efficacy and established guidelines supporting VTE prophylaxis, utilisation rates and treatment duration remain suboptimal, leaving medical patients at continued risk for VTE. Improved guideline adherence and effective care delivery among the medically ill are stressed.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".