Prognostic value of preoperative albumin to globulin ratio in patients treated with salvage radical prostatectomy for radiation recurrent prostate cancer
Bibliographic record
Abstract
BACKGROUND: Serum albumin-to-globulin ratio (AGR) has been shown to be associated with poor prognosis in different malignancies. In this study we aimed to evaluate the predictive value of preoperative AGR for oncological outcomes in patients with radiation recurrent prostate cancer (PCa) treated with salvage radical prostatectomy (SRP).METHODS: A retrospective review of 214 consecutive patients with radiation recurrent PCa who underwent SRP at five referral centers. Levels of albumin and globulin were obtained before SRP and used to calculate the preoperative AGR level. The optimal cut off value of preoperative AGR was 1.4. Univariable and multivariable Cox regression analyses were performed.RESULTS: Overall 89 (41.6%) patients had a low preoperative AGR. Low serum AGR was associated with biochemical recurrence (BCR) in univariable Cox regression analysis (HR 1.60, 95%CI 1.06-2.43, P=0.026). When adjusted for the effects of established preoperative and postoperative clinicopathologic confounders in different multivariable Cox regression models, this association did not retain its statistical significance. Moreover, preoperative AGR was not associated with metastasis free survival (P=0.21), overall survival (P=0.91) or cancer specific survival (P=0.61).CONCLUSIONS: In patients with radiation recurrent PCa undergoing SRP, low preoperative AGR was associated with the risk of BCR only in univariable analysis. There was no association with metastasis or survival outcomes. Further studies are needed to evaluate this biomarker in the setting of primary PCa and to identify the patients most likely to benefit from a local therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".