Prognostic Utility of Neutrophil-To-Lymphocyte and Platelets-To-Lymphocyte Ratio in Predicting Biochemical Recurrence Post Robotic Prostatectomy
Bibliographic record
Abstract
AIM: Utility of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in predicting biochemical recurrence (BCR) in patients with localized prostate cancer. MATERIALS & METHODS: Retrospective analysis of patients operated by robot-assisted radical prostatectomy. Variables included were: NLR, PLR pre-operative prostate specific antigen, pathological Gleason score, surgical margins status, extracapsular extension, seminal vesical invasion, and lymph node status. RESULTS: Out of 321 patients, no association between NLR or PLR and BCR was detected. Predictors of BCR were pathological Gleason score, extracapsular extension and positive surgical margins. On multivariate analysis, the Gleason Score, extracapsular extension and positive surgical margins remained the only predictors of BCR. CONCLUSION: Neither elevated NLR nor PLR predicted an increased risk of BCR.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".