Consistency of Phase III Clinical Trial Abstracts Presented at an Annual Meeting of the American Society of Clinical Oncology Compared With Their Subsequent Full-Text Publications
Bibliographic record
Abstract
PURPOSE: This study aimed to determine the consistency of phase III clinical trial abstracts presented at American Society of Clinical Oncology (ASCO) Annual Meetings compared with their subsequent full-text publications. METHODS: We identified abstracts describing phase III clinical trials of chemotherapy, chemoradiotherapy, immunotherapy, and hormone therapy presented at the 36th ASCO Annual Meeting in May 2000. We searched MEDLINE and PubMed for all corresponding publications. Data were extracted from the abstracts and publications that met our inclusion criteria. RESULTS: A total of 192 abstracts were identified. Seventy-four abstracts met our inclusion criteria. Six years after the 2000 ASCO Meeting, 74% of abstracts had corresponding publications. The primary end point was stated in 34% of abstracts and 100% of published papers. The primary end point result differed by more than 5% between the abstract and publication in 42% of comparisons. The statistical significance of the primary end point and study conclusions were consistent between abstracts and subsequent publications in 89% and 91% of the comparisons, respectively. Abstracts selected as plenary or oral presentations were significantly more likely to be published. No factors predicted consistency for primary end point significance and overall conclusion between ASCO abstracts and their journal publications. CONCLUSION: When carefully selected, ASCO Annual Meeting abstracts of phase III trials consistently reflect final published results, but some differences were observed that warrant caution in using abstract results to shape treatment decisions before full publication.
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 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 | 0.359 | 0.748 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.015 |
| Bibliometrics | 0.053 | 0.049 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".