Bibliographic record
Abstract
BACKGROUND: Communicating clinical trial results to research participants is seldom accomplished in a timely or an effective manner. OBJECTIVE: To evaluate the effectiveness of a plan to communicate results in an industry-sponsored randomized controlled trial for Huntington disease. DESIGN, SETTING, AND PARTICIPANTS: Postal survey to research participants at 28 of 41 research sites (including 217 of 316 participants) in Canada and the United States. INTERVENTION: We communicated trial results by means of (1) a media release from the investigators within a day after a sponsor-issued press release; (2) a subsequent telephone call from the site staff to the participants; and (3) a conference call for research participants 2 weeks after the results were released. MAIN OUTCOME MEASURES: Source and timing for learning study results and satisfaction with their communication. RESULTS: Of the 217 study participants surveyed, 114 (52.5%) responded. Most (73.1%) first learned the study results from their site's telephone call, and 46.3% learned the results within 1 day of the sponsor's press release. Participants reported high or complete satisfaction with the site telephone call (89.3%) and conference call (82.1%) but relatively low satisfaction with the sponsor's press release (50.0%). Most respondents reported good understanding of the risks and benefits of the experimental treatment and the next steps for their participation. CONCLUSION: Surveyed research participants learned of the clinical trial results soon after public release and highly valued the personalized and accurate communication efforts by the study investigators.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.211 | 0.479 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".