2023 MASCC and ESMO guideline update for the prevention of chemotherapy- and radiotherapy-induced nausea and vomiting
Bibliographic record
Abstract
The 2015 MASCC–ESMO guideline for the prevention of ChT- and RINV was updated based on a literature search from 1 June 2015 through 31 January 2023. Thirty-four multidisciplinary experts reviewed the literature. The most important updates were as follows:1)Recommendation to use olanzapine as part of the prophylaxis for patients receiving HEC;2)Recommendation of a 1-day DEX schedule in patients treated with AC, carboplatin or other MEC;3)Suggestion to include an NK1-RA in the antiemetic regimen for women aged ≤50 years receiving oxaliplatin;4)Suggestion to use olanzapine for breakthrough CINV;5)For the first time providing suggestions for the use of some integrative and non-pharmacological therapies; and6)Recommending aprepitant or fosaprepitant as part of the weekly antiemetic regimen in women treated with fractionated radiotherapy and concomitant weekly cisplatin.
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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".