Compendium of Unpublished Phase III Trials in Oncology: Characteristics and Impact on Clinical Practice
Bibliographic record
Abstract
PURPOSE: Many phase III trials presented at annual meetings of the American Society of Clinical Oncology (ASCO) remain unpublished. The results of these unpublished trials, if more generally known, might have an impact on clinical practice. METHODS: Abstracts of large phase III trials evaluating systemic cancer treatment were identified from conference proceedings of the 1989 to 2003 ASCO annual meetings. PubMed, Medline, and Embase were searched for corresponding publications. A compendium of unpublished phase III trials was assembled. Clinical significance of nonpublication was determined by disease site-specific oncology experts from two academic cancer centers in Canada. RESULTS: A total of 709 phase III trials were identified of which 66 (9.3%) remain without a subsequent publication at a minimum of 6.5 years of follow-up and 94 (13%) were published after a delay of ≥ 5 years from their initial presentation. Of the unpublished trials, 48% were presented as oral sessions at an ASCO meeting, and 71% of the abstracts reported negative results. The experts judged that 70% of the unpublished trials addressed an important question and 59% might have had clinical impact if their results had been published promptly. CONCLUSION: A substantial number of cancer clinical trials with potential influence on clinical practice remain unpublished and many other trials are published after a substantial delay. Nonpublication of clinical trials breaks an implicit contract with participants, institutional review boards, and sponsors.
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 | 0.245 | 0.707 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".