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Record W1971316264 · doi:10.1093/neuonc/nou174.90

O10.09 * REDUCTION IN NEUTROPHIL-LYMPHOCYTE RATIO DURING INITIAL CONCURRENT CHEMORADIOTHERAPY IS PROGNOSTIC FOR SURVIVAL OF GLIOBLASTOMA PATIENTS

2014· article· en· W1971316264 on OpenAlexaff
M. T. Mason, Mairéad G. McNamara, Minh Thi Tieu, Zarnie Lwin, B-A. Millar, Cynthia Ménard, Normand Laperrière, Michael Milosevic, WP Mason, Caroline Chung

Bibliographic record

VenueNeuro-Oncology · 2014
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineTemozolomideInternal medicineContext (archaeology)Hazard ratioProportional hazards modelRetrospective cohort studyUnivariate analysisDexamethasoneChemoradiotherapyNeutrophil to lymphocyte ratioRadiation therapySurgerySurvival analysisGastroenterologyMultivariate analysisLymphocyteConfidence interval

Abstract

fetched live from OpenAlex

INTRODUCTION: Elevated baseline neutrophil-lymphocyte ratio (NLR) has been associated with poorer outcome in multiple tumour sites. In the context of glioblastoma (GBM), elevated NLR prior to any initial therapy, including surgery or corticosteroids, or prior to second surgery for recurrent disease predicted worse outcome. The aim of this retrospective cohort study was to assess if change in NLR during initial focal radiotherapy (RT) and concurrent temozolomide (TMZ) predicted outcome in newly diagnosed GBM patients. METHODS: A retrospective chart review was performed for patients treated concurrently with TMZ and RT, at our tertiary referral centre between Jan 2004 and Sept 2010, for histologically confirmed GBM. Age, baseline ECOG performance status (ECOG-PS) and extent of surgery were recorded. Baseline NLR, change in NLR, and time-weighted mean dexamethasone dose (TWMdex) were collected between 2 weeks prior to commencing RT and 10 weeks following the start of RT. Overall survival (OS) was calculated using Kaplan Meier method. Univariate (UVA) and multivariable (MVA) analyses using cox proportional hazard models evaluated variables associated with OS, accounting for colinearity of variables. RESULTS: There were 394 patients who met eligibility and were included in the final analysis. Median age was 54 (range 18-73). With median follow up of 15.2 months (range 1.6-134.6), OS was 66.4% (CI 61.4-70.7) and 31.1% (CI 26.5-35.8) at 1 and 2 years respectively. Median baseline dexamethasone dose was 8 mg (0-30 mg) and median TWMdex dose was 4.94 mg (0.0 -27.4 mg). On UVA, older age (HR 1.034, p <0.0001) and ECOG-PS>2 (HR 1.076, p < 0.001) were associated with shorter survival whereas baseline NLR below the median of 7.5 (HR 0.628, p < 0.0001) and decrease in NLR during treatment (HR 0.644, p < 0.0001) were associated with better survival. On MVA, decrease in NLR remained significantly prognostic for OS (HR 0.763, p = 0.02; CI 0.603 - 0.964) in addition to age (HR 1.032, p < 0.001; CI 1.018-1.045), TWMdex (HR 1.039, p = 0.002; CI 1.014-1.065) and ECOG-PS (HR 0.593, p = 0.008; CI 0.430-0.873). Although, baseline NLR was no longer statistically significant (HR 0.814, p = 0.09; CI 0.641 - 1.032), patients with low baseline NLR and further reduction in NLR during treatment had significantly longer survival (p < 0.0001). The association between change in NLR and change in dexamethasone dose over time was weak (r = 0.22). CONCLUSION: In patients with newly diagnosed glioblastoma, any reduction in neutrophil-lymphocyte ratio during initial concurrent chemoradiotherapy was an independent prognostic factor for longer survival, accounting for other prognostic factors including dexamethasone dose. Patients with low baseline NLR and further reduction in NLR during treatment had the best prognosis.

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)0.002
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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)0.0050.001

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 head0.019
GPT teacher head0.305
Teacher spread0.286 · 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
Published2014
Admission routes1
Has abstractyes

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