Systemic Immune-Inflammation Index and Survival Outcomes in Testicular Cancer: a Systematic Review and Meta-Analysis
Bibliographic record
Abstract
El índice de inmunidad-inflamación sistémica (SIII) es un marcador estudiado en múltiples tipos de cáncer urológico. Esta revisión sistemática evalúa la asociación entre los valores del SIII con la Supervivencia Global (OS) y la Supervivencia Libre de Progresión (PFS) en el cáncer testicular. Se buscaron estudios observacionales en 5 bases de datos. La síntesis cuantitativa se realizó mediante un modelo de efectos aleatorios. El riesgo de sesgo fue evaluado a través de la escala de Newcastle Ottawa (NOS). La única medida de efecto fue el Hazard Ratio (HR). Se realizó un análisis de sensibilidad según el riesgo de sesgo de los estudios. Había 833 participantes en un total de 6 cohortes. Se encontró que los valores altos de SIII se asociaron con una peor OS (HR=3,28; IC del 95%: 1,3-8,9; P < 0,001; I2= 78) y PFS (HR=3,9; IC del 95%: 2,53-6,02; P < 0,001; I2= 0). No se encontraron indicios de efectos de estudio pequeños en la asociación entre los valores de SIII y OS (p=0,5301). Los valores de SIII elevados se asocian a una peor OS y PFS.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.013 | 0.025 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".