Tobacco Control and Smoking Cessation–Related Content in Oncology Meetings: A Systematic Scoping Review
Bibliographic record
Abstract
Introduction: Despite the importance of smoking cessation in cancer care, it remains unclear how much tobacco control and smoking-related content (TCSCR) is included in major oncology meetings. Developing an understanding of the amount of content can help to improve education and dissemination of the benefits of smoking cessation in cancer care. Methods: We performed a scoping review of TCSCR abstracts and educational sessions using online programs and abstract books from 2018 to 2023 for 12 major oncology meetings across different disciplines and disease sites. Results: < 0.001) differed between abstracts from high-income and low-middle-income countries. Conclusions: Despite the importance of smoking cessation in oncology, TCSCR abstracts and educational content are limited at major oncology meetings. Organizers of oncology conferences should be encouraged to explore strategies to include sessions and attract submissions on these topics, particularly from underrepresented regions.
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 | 0.017 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".