Association of neutrophil count with overall survival in localized prostate cancer.
Bibliographic record
Abstract
121 Background: Systemic inflammation has been linked to worse outcome in metastatic prostate cancer. This study analyzes the influence of complete blood count (CBC) on outcome after curative radiotherapy for localized prostate cancer. Methods: We reviewed our institutional database of patients with localized prostate cancer treated with either definitive external beam radiotherapy (EBRT) or brachytherapy from September 2001- June 2014. Data on pre-treatment CBC such as hemoglobin (Hgb), mean corpuscular volume(MCV) and platelet count (PLT) were available in 1,021 pts, neutrophil/lymphocyte ratio (NLR) in 1,015 pts. Univariate and multivariate cox proportional hazards models were used to analyze the influence of complete blood count parameters on overall and recurrence free survival (PSA nadir + 2 ng/mL). A p<0.05 was considered statistically significant. Results: Median follow-up was 44 months. 55 patients had biochemical recurrence and 68 patients died.On univariate analysis, increasing risk of biochemical recurrence was associated with a combination of all known risk factors as defined by the Cancer of the Prostate Risk Assessment (CAPRA) score, but not by age. When adjusting for age (p=0.009), CAPRA remained significant (p=0.0003) but no comorbidity or CBC. On univariate analysis for overall survival, CAPRA (p=0.0001) and neutrophil count (p=0.04, HR1.16, 1.01-1.34) as well as a cardiac history (p=0.009) were associated with increased risk of overall mortality. The first multivariate model was adjusted for age and included the CAPRA, comorbidity and CBC variables: age (p=0.006) and CAPRA (p=0.008) were prognostic, neutrophil count was borderline significant (p=0.056, HR 1.17, 0.99-1.37). In a second multivariate model without adjusting for age, neutrophil count was a significant prognostic factor for overall survival (p=0.032, HR 1.18, 1.01-1.38) as well as the CAPRA (p=0.005, HR 1.18, 1.05-1.33). Conclusions: In this testing cohort, neutrophil count was an independent risk factor for increased overall mortality in patients with localized prostate cancer. The influence of age on this prognostic factor will be further studied. A validation cohort is needed to corroborate these results.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".