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Real-world effectiveness and healthcare utilization of nivolumab for recurrent and/or metastatic squamous cell carcinoma of head and neck (R/M SCCHNC): A real-world population-based study.

2025· article· en· W4410804207 on OpenAlexaffabout
Wei Fang Dai, Ning Liu, Lena Nguyen, Kelvin Chan

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesUniversity of Toronto
Fundersnot available
KeywordsMedicineNivolumabHead and neckBasal cellOncologyHead and neck cancerHead and neck squamous-cell carcinomaPopulationMetastatic melanomaInternal medicineSurgeryCancerEnvironmental healthImmunotherapy

Abstract

fetched live from OpenAlex

e18040 Background: Nivolumab was the first immunotherapy to have shown efficacy in platinum-resistant recurrent and/or metastatic squamous cell carcinoma of head and neck (R/M SCCHNC) in the CheckMate-141 trial. Prior to its introduction, patients with R/M SCCHNC had limited treatment options after progression on first-line treatments. We conducted a real-world population-based retrospective observational study to examine the real-world survival outcomes and resource utilization of patients with R/M SCCHNC who were treated with nivolumab. Methods: Patients with R/M SCCHNC were included in the study if they received nivolumab between January 17 th 2018 to August 31 st 2022 in Ontario, Canada. The maximum follow-up date is August 31 st , 2023. Overall survival (OS) and time-to-treatment discontinuation was assessed using Kaplan-Meier, and the Cox proportional hazard model was used to explore the association between baseline patient characteristics and all-cause death. Cumulative incidence of having an emergency department visit and hospitalization were estimated using the cumulative incidence function, taking death as a competing event. Results: A total of 498 patients who received nivolumab for R/M SCCHNC (Mean age 62.9, 78.7% male) were included in the study. The median survival time for all-cause death was 6.0 months (95% CI: 5.0 – 7.3) and median time to nivolumab discontinuation was 2.6 months (95% CI: 2.3 – 3.0). The overall survival probability at 1 year and 2 years were 31.1% (95% CI: 27.5 – 36%) and 18.5% (95% CI: 14.7 – 22.3%), respectively. A sensitivity analysis comparing OS between older patients Age ≥ 75yo (1yr: 37%, 95% CI: 24.3 – 49.7%; 2 yrs: 19%; 95% CI: 7.8 – 30.2%) and younger patients aged < 75yo (1yr: 31%, 95% CI: 26.5 – 35.5%; 2 yrs: 18.4%, 95% CI: 14.4 – 22.5%) demonstrated no significant differences (p-value 0.73). At 1-year following starting nivolumab, the cumulative incidence of emergency department visits was 50.6% (95% CI: 46.1 – 55.0%), emergency department visits leading to hospitalization was 49.6% (95% CI: 45 – 54.0%), and direct hospitalization is 22.7% (19.0 – 26.6%). Conclusions: In this real-world study, we demonstrated that survival outcomes of nivolumab were similar to those observed in CheckMate-141 trial. Moreover, we found that at one year after starting nivolumab, more than half of the patients had a hospitalization event, suggesting notable healthcare resource utilization in this population.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.108

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.159
GPT teacher head0.508
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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