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Record W4413774921 · doi:10.1080/20565623.2025.2552067

Prognostic factors in advanced incurable HNSCC patients on palliative-intent immunotherapy-based regimen

2025· article· en· W4413774921 on OpenAlexaff
Zainab Al Maqrashi, Michelle Bradbury, Sze Wah Samuel Chan, Yazeed AlHarbi, Francesco Fazzari, Adam Gabara, Haseeb Faisal, Shadi Sadeghian, Gregory R. Pond, Brandon M. Meyers, Adi Kartolo, Courtney H. Coschi

Bibliographic record

VenueFuture Science OA · 2025
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Cancer Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineImmunotherapyRegimenOncologyInternal medicineIntensive care medicineCancer

Abstract

fetched live from OpenAlex

BACKGROUND: Locally advanced unresectable or metastatic head and neck squamous cell carcinoma carries a poor prognosis with limited palliative systemic treatment options. We sought to evaluate clinic-pathological characteristics associated with favorable responses to palliative-intent immunotherapy. METHODS: A retrospective cohort study was conducted of adult patients with recurrent or metastatic head and neck squamous (rmHNSCC) cell carcinoma at the Juravinski Cancer Center from 1 January 2018 to 31 December 2022. Baseline demographic and disease characteristics, treatment delivered, and outcome data were collected. RESULTS: A total of 96 patients were identified. Median age was 61 years (75.9% male). The most common primary was oropharyngeal. The majority of patients were platinum-ineligible or refractory (61.5%). The median overall survival was 12.6 months (95% CI 6.3-15.4), and median PFS was 5.3 months (95% CI 3.8-7.8). After univariate and multivariate analyses, the systemic immune-inflammation index (SII), albumin, and BMI were identified as independently significant prognostic factors for survival. CONCLUSION: SII, albumin, and BMI were the strongest independent prognostic factors of overall survival in rmHNSCC patients treated with palliative immunotherapy. Future validation studies would be important, given these are inexpensive, noninvasive tests and may be potentially modifiable patient factors.

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)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.013
GPT teacher head0.310
Teacher spread0.296 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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Same venueFuture Science OASame topicHead and Neck Cancer StudiesFrench-language works237,207