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Nivolumab in squamous cell carcinomas of the head and neck (SCCHN): A real-world outcome study in Ontario, Canada.

2022· article· en· W4286293550 on OpenAlexaffabout
Arman Zereshkian, Ruaa Shafi, Gregory R. Pond, Sebastién J. Hotte

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsJuravinski Cancer CentreOntario Clinical Oncology GroupMcMaster University
Fundersnot available
KeywordsMedicineNivolumabInternal medicineContraindicationCancerCancer registryHead and neck cancerRadiation therapyProportional hazards modelConfidence intervalOncologyChemotherapySurgeryImmunotherapy

Abstract

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e18017 Background: The CheckMate-141 trial led to the approval of nivolumab in platinum-resistant metastatic squamous cell carcinomas of the head and neck (SCCHN). We evaluated outcomes of SCCHN patients in Ontario, Canada treated with nivolumab since its funding through the New Drug Funding Program (NDFP) of Cancer Care Ontario (CCO). Methods: Retrospective review using the provincial treatment registry (CCO NDFP) was undertaken. Patient characteristics, reason for treatment, treatment length, and date of death were collected. Kaplan-Meier method was used to estimate overall survival and Cox regression to evaluate prognostic effect of selected factors. Results: 134 patients with SCCHN received nivolumab between March 2017 and March 2019. Median patient age was 63 years with 80.6% male. Nivolumab was used as second-line therapy after disease relapse within 6 months of curative-intent platinum chemotherapy (PC) in 39.6% of patients (Indication 1 – I1), used as second-line therapy post PC in non-curative intent in 42.6% of patients (Indication 2 – I2), and used as first-line therapy in non-curative intent due to contraindication for PC in 17.2% of patients (Indication 3 – I3). Median overall survival (mOS) was 5.8 months (95% confidence intervals (CI) 4.5-7.3), and one-year OS was 28.4% (CI 2.10-36.1). HPV status had no statistically significant impact on OS (p = 0.12). Patients with a lower BSA (< 1.81) had median OS of 3.9 months (CI 3.1-6.7) versus 9.0 months (CI 6.5-14.8) in those with higher BSA, HR = 0.12 (CI 0.04-0.39, p < 0.001). Differences between indications was statistically significant (p < 0.001). Patients who received nivolumab for I1 had mOS 7.2 months (CI 3.8-9.8) versus 11.9 months (CI 6.2-not reached) for I3, HR = 1.73(CI 0.94-3.16). Patients who received nivolumab for I2 had mOS 3.9 months (CI 2.9-5.4) as compared to I3, HR = 3.27(CI 1.80-5.94). Patients who received nivolumab for I2 had poorer mOS as compared to I1 HR = 1.90(CI 1.23-2.92). Conclusions: Real world data in Ontario demonstrates poorer mOS, but similar 1-year survival compared to CheckMate-141 trial. HPV status had no significant impact on mOS. Patients who received nivolumab as first-line therapy in the non-curative setting appeared to have longer mOS than those who received initial PC for non-curative intent followed by nivolumab. Patients who received nivolumab as second-line therapy post PC in non-curative intent setting as compared to within 6 months of curative-intent therapy had poorer mOS.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.029
Threshold uncertainty score0.210

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.123
GPT teacher head0.431
Teacher spread0.308 · 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".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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