Patient Reported Outcomes and Complications during Head & Neck Cancer Radiotherapy before versus during the COVID-19 Pandemic
Bibliographic record
Abstract
Abstract Purpose This study compares patient reported outcomes and treatment related complications during radiotherapy before (August 2019 -Feb 2020) versus during (March -October 2020) the COVID-19 pandemic. Materials and Methods The MD Anderson Symptom Inventory – Head & Neck Module was used to assess curative intent H&N cancer patients’ symptoms during radiotherapy. Results There were 158 patients in the pre-pandemic cohort and 137 patients in the pandemic cohort. There was a trend towards more patients requiring an enteral feeding during the pandemic (21% vs 30%, p = 0.07). Weight loss was higher during the pandemic (mean − 5.6% vs 6.8%, p = 0.03). On multivariate analysis, treatment during the pandemic was associated with higher symptom scores for coughing/choking while eating (2.7 vs 2.1, p = 0.013). Conclusions Complication rates during H&N radiotherapy during the COVID-19 pandemic were similar at our institution relative to the pre-pandemic era although weight loss was greater and patients reported more severe choking/coughing while eating.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".