ReviewFrontiers in endocrinology2024
Pretreatment level of serum sialic acid predicts both qualitative and quantitative bone metastases of prostate cancer.
Review in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Serum Sialic Acid as a Biomarker of Inflammation and Infection: Insights From Veterinary Medicine.Veterinary medicine international · 2026Review
- A seven-variable clinical prediction model for bone metastasis at initial diagnosis of prostate cancer.American journal of cancer research · 2026Article
- Predictive value of the pretreatment serum sialic acid/total protein ratio for bone metastases in newly diagnosed prostate cancer patients: development of a nomogram model.Gland surgery · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Recently, serum sialic acid (SA) has emerged as a distinct prognostic marker for prostate cancer (PCa) and bone metastases, warranting differential treatment and prognosis for low-volume (LVD) and high-volume disease (HVD). In clinical settings, evaluating bone metastases can prove advantageous. Objectives: We aimed to establish the correlation between SA and both bone metastasis and HVD in newly diagnosed PCa patients. Methods: We conducted a retrospective analysis of 1202 patients who received a new diagnosis of PCa between November 2014 and February 2021. We compared pretreatment SA levels across multiple groups and investigated the associations between SA levels and the clinical parameters of patients. Additionally, we compared the differences between HVD and LVD. We utilized several statistical methods, including the non-parametric Mann-Whitney U test, Spearman correlation, receiver operating characteristic (ROC) curve analysis, and logistic regression. Results: The results indicate that SA may serve as a predictor of bone metastasis in patients with HVD. ROC curve analysis revealed a cut-off value of 56.15 mg/dL with an area under the curve of 0.767 (95% CI: 0.703-0.832, Conclusion: The pretreatment serum SA level is positively correlated with the presence of bone metastases.
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