Reduced-Volume Irradiation of Uninvolved Neck in Patients With Nasopharyngeal Cancer: Updated Results From an Open-Label, Noninferiority, Multicenter, Randomized Phase III Trial
Bibliographic record
Abstract
Clinical trials frequently include multiple end points that mature at different times. The initial report, typically based on the primary end point, may be published when key planned co-primary or secondary analyses are not yet available. Clinical Trial Updates provide an opportunity to disseminate additional results from studies, published in JCO or elsewhere, for which the primary end point has already been reported. We previously reported comparable 3-year regional relapse–free survival (RRFS) using elective upper-neck irradiation (UNI) in N0-1 nasopharyngeal carcinoma (NPC) compared with standard whole-neck irradiation (WNI). Here, we present the prespecified 5-year overall survival (OS), RRFS, late toxicity, and additional analyses. In this randomized trial, patients received UNI (n = 224) or WNI (n = 222) for an uninvolved neck. After a median follow-up of 74 months, the UNI and WNI groups had similar 5-year OS (95.9% v 93.1%, hazard ratio [HR], 0.63 [95% CI, 0.30 to 1.35]; P = .24) and RRFS (95.0% v 94.9%, HR, 0.96 [95% CI, 0.43 to 2.13]; P = .91) rates. The 5-year disease-free survivors in the UNI group had a lower frequency of hypothyroidism (34% v 48%; P = .004), neck tissue damage (29% v 46%; P < .001), dysphagia (14% v 27%; P = .002), and lower-neck common carotid artery stenosis (15% v 26%; P = .043). The UNI group had higher postradiotherapy circulating lymphocyte counts than the WNI group (median: 400 cells/μL v 335 cells/μL, P = .007). In conclusion, these updated data confirmed that UNI of the uninvolved neck is a standard of care in N0-1 NPC, providing outstanding efficacy and reduced long-term toxicity, and might retain more immune function.
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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".