American Society of Clinical Oncology Clinical Practice Guidelines: Opportunities and Challenges
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The American Society of Clinical Oncology (ASCO) published its first clinical practice guideline, which focused on the use of hematopoietic colony-stimulating factors, in 1994. Since then, ASCO has published 24 additional guidelines or technology assessments on a range of topics and is developing 11 additional guidelines. Guidelines are among ASCO's most valued products, according to membership surveys and data from the JCO.org Web site. However, the same data from ASCO members have highlighted a number of limitations to the guideline program. These relate to the timelines of guideline updates, difficulties locating guidelines and related products, and challenges to implementing ASCO guidelines in everyday clinical practice. This article outlines the concrete steps that the ASCO Health Services Committee (HSC) is taking to address these limitations, including the institution of a more aggressive guideline updating schedule, a transition from narrative to systematic literature reviews to support the practice recommendations, a new Board of Directors-approved policy to permit endorsement of other groups' guidelines, and a robust Clinical Tools and Resources program that offers a range of guideline dissemination and implementation aids. Additional work is underway to establish stronger and deeper collaborations with practicing oncologists to expand their role in the review, field testing, and implementation of guideline clinical tools and resources. Finally, the HSC is discussing evaluation of the guidelines program to maximize the impact of ASCO clinical practice guidelines on clinical decision making and, ultimately, the quality of cancer care.
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.
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 | 0.071 | 0.324 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| 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 it