Impact of antiviral prophylaxis in HSV positive patients treated with concurrent chemoradiotherapy for head and neck cancer.
Bibliographic record
Abstract
6078 Background: Chemoradiotherapy used for the treatment of locally advanced head and neck cancer (HNC) causes a high incidence of mucositis that may be accentuated by a reactivation of herpes simplex virus (HSV). To date, no study has evaluated the impact of antivirals used as prophylaxis to prevent mucositis or their severity. Methods: This is a retrospective observational study including patients who received at least one cycle of concurrent chemoradiotherapy for the treatment of head and neck cancer between January 2014 and June 2017 at the Centre hospitalier de l’Université de Montréal (CHUM). HSV negative patients were excluded. After approval by the IRB, we compared the incidence and severity of mucositis in HSV positive patients who started an antiviral prophylaxis before cycle 1 or 2 (prophylaxis group) to HSV+/unknown HSV patients who did not receive antiviral prophylaxis (control group). Emergency visits and hospitalizations related to mucositis were collected. Mucositis were assessed regularly by radiation oncologists during the treatment. Results: Of 482 patients who received concurrent chemoradiotherapy for HNC, 75 were HSV negative and 407 were included in this study. In the group with (n = 94) and without prophylaxis (n = 313), patients received carboplatin and 5-FU (77% vs 62%) and cisplatin (23% vs 38%) with concurrent radiation respectively. The rate of all grade mucositis in patients with and without prophylaxis (99% vs 96%; p = 0.19) was not statistically significant. The rate of grade 3 and 4 mucositis (42% vs 49%; p = 0.29), the rate of emergency visit (29% vs 28%; p = 0.91) and hospitalization (9% vs 8%; p = 0.80) were not statistically significant between each group. However, in a subgroup of patient receiving carboplatin and 5-FU, antiviral prophylaxis seems to decrease significantly the rate of grade 3 (49% vs 63%; p = 0.04). Conclusions: The addition of antiviral prophylaxis in HSV positive in patients undergoing concurrent chemoradiotherapy for locally advanced HNC didn’t decrease the rate of all grade mucositis. In the subgroup of patients receiving carboplatin and 5-FU mainly of oropharynx origin, HSV prophylaxis decreased the severity of mucositis.
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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 | 0.000 | 0.002 |
| 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) | 0.001 | 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".