Eligibility criteria in randomized phase II and III adjuvant and neoadjuvant breast cancer trials: Not a significant barrier to enrollment
Bibliographic record
Abstract
BACKGROUND: Clinical trial recruitment can be impeded by eligibility criteria being too numerous or too restrictive. PURPOSE: This study's principal objective was to determine whether a specific category of eligibility criteria could be identified as a major barrier to patient enrollment. METHODS: Nine phase II or III clinical trials, opened between June 2004 and July 2008, were selected. A retrospective cohort of women diagnosed with invasive, nonmetastatic breast cancer and potentially eligible for these clinical trials was used. All eligibility criteria were sorted into the following categories: definition of disease, precision, safety, ethical and legal, or administrative. A total of 985 patient-trials were evaluated, defined as the experimental unit since one patient could be eligible to more than one trial. Proportions of cases with 'not met' eligibility criteria were assessed for each category in each trial. RESULTS: Two clinical trials had a 'not met' subcategory criterion of over 20%. 'Pathology' and 'consent' subcategory criteria were 'not met' in 24.2% and 92.7% of cases for the NEOCAN and NCIC CTG MA.27 trials, respectively. NCIC CTG MA.27 had the highest proportion of 'not met' subcategory due to an inclusion criterion requiring participation to two companion studies. National Surgical Adjuvant Breast and Bowel Project (NSABP) B-38 had a proportion of 18.8% of cases 'not meeting' the receptor status subcategory criterion. All other subcategories of eligibility criteria assessed were 'not met' by less than 15% of patients. Overall, few subcategories had over 10% of ineligible patients. LIMITATIONS: Many eligibility criteria were considered 'nonevaluable' because the information evaluated would have required additional procedures not performed as part of the general practice. CONCLUSION: The subjects from the study population are not precluded from entry in a trial because of stringent eligibility criteria. Eligibility criteria should reflect as much as possible the whole population to whom the treatment will be offered, with the exception of drugs targeting a specific receptor or pathway where only a subpopulation is hypothesized to benefit from the therapy. In the breast cancer clinical trials evaluated for the present study, no criterion precluding recruitment was shared by many or all trials and no specific eligibility criterion was consistently the reason for patients' ineligibility.
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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 | 0.465 | 0.551 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| 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".