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Record W1559340156 · doi:10.1002/cncr.29100

Prognostic value of pretreatment circulating neutrophils, monocytes, and lymphocytes in oropharyngeal cancer stratified by human papillomavirus status

2014· article· en· W1559340156 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCancer · 2014
Typearticle
Languageen
FieldMedicine
TopicInflammatory Biomarkers in Disease Prognosis
Canadian institutionsUniversity Health NetworkPrincess Margaret Cancer CentreOntario Institute for Cancer ResearchUniversity of Toronto
Fundersnot available
KeywordsMedicineInternal medicineGastroenterologyHazard ratioCohortHuman papillomavirusCervical cancerCancerMultivariate analysisOncologyConfidence interval

Abstract

fetched live from OpenAlex

BACKGROUND: The objective of this study was to investigate the prognostic value of the pretreatment circulating neutrophil count (CNC), circulating monocyte count (CMC), and circulating lymphocyte count (CLC) in human papillomavirus (HPV)-related (HPV+) and HPV-unrelated (HPV-) oropharyngeal cancer (OPC). METHODS: All p16-confirmed HPV+ and HPV- OPC cases treated with chemoradiotherapy from 2000 to 2010 were included. Overall survival (OS) and recurrence-free survival (RFS) were compared for high and low CNCs, CMCs, and CLCs (dichotomized by median values). A multivariate analysis (MVA) confirmed their prognostic value in HPV+ and HPV- tumors, respectively. RESULTS: Five hundred ten HPV+ OPC cases and 192 HPV- OPC cases were included. The HPV+ cohort had lower CNC and CMC values but a CLC similar to that of the HPV- patients (P < .01). The median follow-up was 4.8 years. In the HPV+ cohort, a high CNC or CMC correlated with reduced OS and RFS in comparison with a low CNC or CMC (P < .01 for all), but no difference was evident in OS (P = .30) or RFS (P = .10) with the CLC. MVA confirmed that a higher CNC or CMC independently predicted lower OS (hazard ratio [HR] for CNC, 1.14, P < .01; HR for CMC, 2.95, P < .01) and lower RFS (HR for CNC, 1.11, P < .01; HR for CMC, 3.39, P < .01), whereas a higher CLC was associated with higher RFS (HR, 0.66, P = .03) and marginally higher OS (HR, 0.80, P = .08). In the HPV- cohort, CNC, CMC, and CLC were not predictive of OS (P = .16, P = .86, and P = .14) or RFS (P = .61, P = .59, and P = .62). CONCLUSIONS: This relatively large cohort study demonstrates that a high CNC and a high CMC independently predict inferior OS and RFS, whereas a high CLC predicts better RFS and marginally better OS in HPV+ OPC patients. This association was not apparent in HPV- patients.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.046
Threshold uncertainty score0.942

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.297
Teacher spread0.283 · 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