ONS Guidelines™ for Cancer Treatment–Related Lymphedema
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
PURPOSE: Lymphedema is a chronic condition that may result from cancer-related surgery. The incidence of lymphedema varies greatly; however, patients remain at risk for life and may experience decreased quality of life and functional capacity. Providing recommendations for an evidence-based guideline for care of cancer treatment-related lymphedema will help to improve outcomes for patients with this chronic condition. METHODOLOGIC APPROACH: A panel of healthcare professionals with patient representation convened to develop a national clinical practice guideline on prospective surveillance, risk reduction, and conservative treatment of lymphedema. Systematic reviews of the literature were conducted and the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) methodology approach was used to assess the evidence. FINDINGS: The panel made multiple recommendations for patients who are at risk for or experiencing lymphedema. IMPLICATIONS FOR NURSING: Early diagnosis and treatment of lymphedema may mitigate symptoms. This evidence-based guideline supports patients, clinicians, and other healthcare professionals in clinical decision making. SUPPLEMENTARY MATERIAL CAN BE FOUND AT HTTPS: //onf.ons.org/supplementary-material-ons-guidelines-cancer-treatment-related-lymphedema.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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