Relationship between NLR and penile squamous cell carcinoma: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: We conducted this study to summarize the results of studies reporting the role of NLR (neutrophil to lymphocyte ratio) in PSCC (penile squamous cell carcinoma). METHODS: This meta-analysis was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) criteria. A systematic search was conducted on PubMed, Scopus, and web of science up to March 10, 2023. Fourteen studies were included in the review. The NOS (Newcastle-Ottawa Scale) was used to determine the quality of the included studies. This meta-analysis was conducted on the studies reporting the relationship between NLR and survival using HR (hazard ratio) and 95% CI (confidence interval). RESULTS: There was a significant association between NLR levels and the prognosis, nodal stage, and anatomical tumor stage of PSCC patients. In the meta-analysis of the association of NLR with survival, NLR level was significantly associated with lower cancer-specific survival (HR = 3.51, 95% CI = 2.07-5.98, p < 0.001) and lower disease-free survival (HR = 2.88, 95% CI = 1.60-5.20, p < 0.001). However, NLR was found to have no association with the stage, grade, location, and size of the tumor. CONCLUSION: NLR has a significant diagnostic and prognostic value in PSCC.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Meta-analysis | low |
| gpt | no category Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Systematic review | high |
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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.015 | 0.032 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".