Understanding potential barriers and enablers to a perioperative early phase cell therapy trial
Bibliographic record
Abstract
BACKGROUND AIMS: Early-phase cell therapy clinical trials depend on patient and physician involvement, yet barriers can impede their participation. METHODS: To optimize engagement for a planned cell therapy trial to prevent perioperative cardiac complications, the authors conducted semi-structured interviews with at-risk patients and physicians who could potentially be involved in the study. The authors used the theoretical domains framework to systematically identify potential barriers and enablers. RESULTS: Forty-one interviews were conducted to reach data saturation, and four overall potential barriers to participation (themes) were identified. Theme 1 emphasizes that patients and physicians need accessible information to better understand the benefits and risks of the novel therapy and trial procedures and to address misconceptions. Theme 2 underscores the need for clarity on whether the trial's primary purpose is safety or efficacy, as this may influence patient and physician decisions. Theme 3 recognizes the resource and logistic realities for patients (e.g., convenient follow-up appointments) and physicians (e.g., personnel to assist in trial procedures, competing priorities). Theme 4 describes the importance of social influences (e.g., physicians and family, peers/colleagues) that may affect decisions to participate and the importance of patient preferences (e.g., availability of physicians to discuss the trial, including caregivers in discussions). CONCLUSIONS: Prospectively addressing these issues may help optimize feasibility prior to conducting an expensive, resource-intensive trial.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".