Prognostic impact of C-reactive protein (CRP) in metastatic prostate cancer (MPC): A systematic review and meta-analysis.
Bibliographic record
Abstract
43 Background: Serum C-reactive protein (CRP), a marker of inflammation, appears to demonstrate a prognostic impact in small studies of metastatic prostate cancer (MPC). We conducted a meta-analysis to better quantitate its prognostic impact. Methods: A systematic review was conducted to identify publications and presentations exploring the association of baseline serum CRP and overall survival (OS) in MPC, both castration-sensitive and castration-resistant. The hazard ratio (HR) and 95% confidence interval (CI) with P values were pooled. HRs were selectively extracted from multivariable analyses. Estimates of HRs were weighted and pooled using the generic inverse variance and random-effect models. Heterogeneity among trials was assessed using Cochrane’s Q statistic and the I2 statistic was used to quantify inconsistency among trials. The assumption of homogeneity was considered invalid for P<0.1. All statistical tests were two-sided, and P<0.05 was considered significant Results: Six studies comprising 659 evaluable patients were eligible. The first authors were Prins (N=119), Pond (N=112), Ito (N=80), Nakashima (N=126), Beer (N=160), and McArdle (N=62). The Nakashima and McArdle studies evaluated castration-sensitive men, while the remaining four studies evaluated castration-resistant men receiving docetaxel-based chemotherapy. The primary endpoint was OS except the McArdle study, which used cancer specific survival. All HRs were derived from multivariate analyses except the Pond study, which was a bivariate analysis. Men with higher CRP had significantly worse OS than those with lower CRP (HR = 1.42, P<0.001, 95% CI: 1.17 to 1.73; I2 = 72.6%, p = 0.003). In trials of castration-sensitive men receiving hormonal therapy, high CRP yielded a HR = 1.92 (P=0.005, 95% CI: 1.22 to 3.03; I2 = 0). In castration-resistant men receiving chemotherapy, high CRP yielded HR=1.35 (p=0.003, 95% CI: 1.11 to 1.65; I2 = 79%), P for subgroup difference=0.20. Conclusions: This meta-analysis suggests a strong prognostic impact for CRP on OS in men with both castration-sensitive and castration-resistant prostate cancer. Prospective validation is justified, given the affordability, ready availability and large dynamic range of CRP.
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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 | 0.015 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.040 |
| Bibliometrics | 0.007 | 0.009 |
| 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) | 0.002 | 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".