Influence of Clinical Trial Site Enrollment on Patient Characteristics, Protocol Completion, and End Points
Bibliographic record
Abstract
BACKGROUND: Most international acute heart failure trials have failed to show benefit with respect to key end points. The impact of site enrollment and protocol execution on trial performance is unclear. METHODS AND RESULTS: We assessed the impact of varying site enrollment volume among all 7141 acute heart failure patients from the ASCEND-HF trial (Acute Study of Clinical Effectiveness of Nesiritide in Decompensated Heart Failure). Overall, 398 sites enrolled ≥1 patient, and median enrollment was 12 patients (interquartile range, 5-23). Patients from high enrolling sites (>60 patients/site) tended to have lower ejection fraction, worse New York Heart Association functional class, and lower utilization of guideline-directed medical therapy but fewer comorbidities and lower B-type natriuretic peptide level. Every 10 patient increase (up to 100 patients) in site enrollment correlated with lower likelihood of protocol noncompletion (odds ratio, 0.93; 95% confidence interval [CI], 0.89-0.98). After adjustment, increasing site enrollment predicted higher risk of persistent dyspnea at 6 hours (per 10 patient increase: odds ratio 1.02; 95% CI, 1.01-1.03) but not at 24 hours (odds ratio, 0.99; 95% CI, 0.98-1.00). Higher site enrollment was independently associated with lower risk of 30-day death or rehospitalization (per 10 patient increase: odds ratio, 0.98, 95% CI, 0.96-0.99) but not 180-day mortality (hazard ratio, 0.99; 95% CI, 0.98-1.01). The influence of increasing site enrollment on clinical end points varied across geographic regions with strongest associations in Latin America and Asia-Pacific (all interaction P<0.01). CONCLUSIONS: In this large, acute heart failure trial, site enrollment correlated with protocol completion and was independently associated with trial end points. Individual and regional site performance present challenges to be considered in design of future acute heart failure trials. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier: NCT00475852.
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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 | 0.271 | 0.334 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".