Adult patient perspectives on clinical trial result reporting: A survey of cancer patients
Bibliographic record
Abstract
BACKGROUND: The provision of study results to research participants is supported by pediatric and adult literature. This study assessed adult cancer patient preferences surrounding aggregate result disclosure to study participants. METHODS: A 46-item questionnaire was given to 250 adult cancer patients who had participated in oncology trials at a single center. Respondents answered questions surrounding their preferences for timing, content, and modality of communication for dissemination of study results. RESULTS: Questionnaire completion rate was 76% (189/250). Most patients (92%) strongly felt a right to know study results. Patients preferred result dissemination via letter for trials with positive outcomes, but preferred in-person clinic visits for negative outcomes. Despite this, a majority of participants (59%) found letters acceptable to inform participants of negative results. Only a minority (36%) of the participants found Internet-based disclosure acceptable for negative trial results. Unfortunately, very few patients (8%) recalled having received the results for a study they participated in, and of these patients, less than half fully understood the results they were given. CONCLUSION: Most clinical trial participants feel they have a right to study result disclosure, regardless of trial outcome. In-person visits are preferred for negative results, but more feasible alternatives such as letters were still acceptable for the majority of participants. However, Internet-based disclosure was not acceptable to most participants in oncology trials. Time and cost allocations for result disclosure should be considered during grant and ethics board applications, and clear guidelines are required to help researchers share the results with patients.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Reporting · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | MetaresearchScholarly communication Domain: Reporting · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".