Identifying multi-level social determinants for disparities in survival and patient-reported outcomes in national head and neck cancer trials.
Bibliographic record
Abstract
11066 Background: This study aimed to determine to what extent area-level social determinants of health (SDOH) interact with individual, institutional, and biological factors to predict outcomes in head and neck cancer (HNC) trials. Methods: Five NRG Oncology HNC trials (2635 patients receiving chemoradiation) were analyzed. Area-level SDOH coded by patient ZIP codes included rurality (rural-urban commuting area code), neighborhood socioeconomic deprivation (Area Deprivation Index [ADI] categorized as upper vs. lower quartile), and travel burden (distance and time to treatment site). Individual (demographic, cancer and treatment-related factors), institutional (accrual volume), biological (HPV+/-) factors, and outcomes (overall survival [OS], progression free survival [PFS], quality of life [QOL], and symptoms) were analyzed. Multivariable Cox proportional hazards regression and mediation analysis using logistic regression assessed associations using hazard ratio (HR) or odds ratios (OR) and 95% confidence intervals (CI). Results: Most patients were White (88%), non-Hispanic (92.7%), of mean age of 57 years, HPV+ (64.6%), and received intensity-modulated radiotherapy (95.9%) and cisplatin (94.2%). ADI and rurality were not associated with OS and PFS. OS and PFS were higher in patients with travel time <1 hour (HR=0.85, 95% CI [0.75, 0.98]; HR=0.85, 95% CI [0.73, 0.98]) and travel distance <50 miles (HR=0.84, 95% CI [0.72, 0.96]; HR=0.85, 95% CI [0.73, 0.98]). ADI, travel time, and travel distance were not associated with QOL decline. Patients treated at institutions with high rural accrual volume had worse QOL decline from baseline (OR=0.36, 95% CI [0.15, 0.85]). The impact of travel distance but not time varied by race to influence QOL decline (OR=0.38, 95% CI [0.16, 0.93]). ADI was not associated with symptoms, but patients from institutions with high rural accrual volume had worse symptoms (OR=7.83, 95% CI [1.98, 31.01]). HPV status had a significant indirect effect on the relationship between travel distance and survival at 1 year (estimate [β]=0.03, 95% CI [0.01, 0.05]) and 5 years (β=0.03, 95% CI [0.004, 0.05]), as well as a direct and total mediation effect of travel distance on QOL decline at 1 year (direct β=-0.08, 95% CI [-0.16, -0.004]; total β=-0.89, 95% CI [-0.17, -0.01]). Conclusions: This study showed the impact of area-level SDOH and their interactions with race and institutional accrual volume, which are associated with survival, QOL, and symptom changes. HPV status potentially mediated the effects of travel distance on outcomes. Our findings provide novel approaches to identify patients at risk for poor outcomes, such as those with travel burden at institutions with high rural accrual, to design community-based interventions to improve cancer outcomes.
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 | 0.028 | 0.034 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".