Effect of the neutral CLOTS 1 trial on the use of graduated compression stockings in the Efficacy of Nitric Oxide Stroke (ENOS) trial
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Current evidence suggests that the time lag from the publication of randomised clinical trial results to changes in prescribing behaviour for drugs is gradually reducing. However, the effect of results of clinical trials of devices and non-pharmacological interventions on clinical practice is less clear. METHODS: Prospective data from the ongoing international 'Efficacy of Nitric Oxide Stroke' (ENOS) trial were analysed to assess the use of graduated compression stockings (GCS) for deep vein thrombus (DVT) prophylaxis in acute stroke patients before and after publication of the large 'Clots in Legs Or sTockings after Stroke' (CLOTS-1) trial. RESULTS: Data on GCS use were available for 1971 patients with acute stroke enrolled into ENOS from February 2003 to April 2011; of these, 498 (25.3%) wore GCS. Prior to publication of CLOTS-1, GCS use was common (>50%) in the UK, Australasia and Canada but infrequent in Asia and the rest of Europe. After publication of CLOTS-1, use of GCS in the UK declined from 398/656 (61%) to 20/567 (4%) (p<0.001) but not elsewhere (eg, in Australasia (57% before publication vs 70% after publication, p=0.24, but based on small numbers). Practice change was apparent within 3 months of the study publication and was sustained thereafter. There was no change in DVT rates before and after CLOTS-1 (0.8% vs 1.0%). CONCLUSIONS: GCS use declined dramatically following the reporting of the CLOTS-1 trial. The results support the notion that a neutral trial of a device can influence clinical practice rapidly, which is important with a widely used and moderately expensive (time and finance) intervention.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".