Systematic review of barriers and facilitators to clinical trial enrollment among adolescents and young adults with cancer: Identifying opportunities for intervention
Bibliographic record
Abstract
Adolescents and young adults (AYAs) are underrepresented in cancer clinical trials (CCTs). Limited trial enrollment slows progress in improving survival rates and prevents the collection of valuable biospecimens. A systematic literature review was conducted to assess barriers and facilitators to AYA enrollment in CCTs and to identify opportunities to improve enrollment. The PubMed MEDLINE, Web of Science, Scopus, and PsycINFO databases were searched to identify studies relevant to AYA CCT enrollment. Eligibility criteria included the qualitative and/or quantitative evaluation of barriers and facilitators to AYA enrollment. One hundred fifty-five unique publications were identified; 13 were included in the final analysis. Barriers to AYA enrollment in CCTs included a lack of existing trials applicable to the patient population, limited access to available CCTs, and a lack of physician awareness of relevant trials. Facilitators of enrollment included optimizing the research infrastructure, improving the awareness of available CCTs among providers, and enhancing communication about CCTs between providers and patients. In conclusion, the limited available research reports institution- and patient-level barriers and facilitators to AYA CCT enrollment. Because of persistent disparities in AYA enrollment, there is an urgent need to further identify the barriers and facilitators to AYA CCT enrollment to determine actionable areas for intervention.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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) | 0.000 | 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".