ArticleWorld journal of gastrointestinal oncology2023
Clinical association between coagulation indicators and bone metastasis in patients with gastric cancer.
Article in World journal of gastrointestinal oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Development and Validation of an Interpretable Machine Learning Model for Predicting Early Pulmonary Metastasis Risk in Osteosarcoma.Cancer medicine · 2026Article
- Clinical characteristics and risk analysis of lymph node metastasis in patients with cN0 differentiated thyroid carcinoma.Scientific reports · 2026Article
- FDP/FIB ratio serves as a novel biomarker for diagnosing bone marrow invasion in gastric cancer and predicting patient prognosis\.Scientific reports · 2025Article
- Potential role of coagulation markers in early detection of bone metastasis in gastric cancer: A critical review.World journal of gastrointestinal oncology · 2025Article
- Bone Metastasis Mediates Poor Prognosis in Early-Onset Gastric Cancer: Insights Into Immune Suppression, Coagulopathy, and Inflammation.Cancer medicine · 2025Article
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5 authors.
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Abstract
backgroundBones are one of the most common target organs for cancer metastasis. Early evaluation of bone metastasis (BM) status is clinically significant. Cancer patients often experience a hypercoagulable state.
aimTo evaluate the correlation between coagulation indicators and the burden of BM in gastric cancer (GC).
methodsWe conducted a single-center retrospective study and enrolled 454 patients. Clinical information including routine blood examination and coagulation markers were collected before any treatment. Patients were grouped according to the status of BM. Receiver operating characteristic curves were used to assess diagnostic performance and determine the optimal cutoff values of the above indicators. Cutoff values, sensitivity and specificity were based on the maximum Youden index. Univariate and multivariate logistic regression analyses were used to evaluate the relationships between biomarkers and BM.
resultsOf the 454 enrolled patients, 191 patients were diagnosed with BM. The receiver operating characteristic curve analysis suggested that prothrombin time (PT) [cutoff: 13.25; sensitivity: 0.651; specificity: 0.709; area under receiver operating characteristic curve (AUC) = 0.738], activated partial thromboplastin time (aPTT) (cutoff: 35.15; sensitivity: 0.640; specificity: 0.640; AUC = 0.678) and fibrin degradation products (FDP) (cutoff: 2.75; sensitivity: 0.668; specificity: 0.801; AUC = 0.768) act as novel predictors for BM. Based on multivariate logistic regression analysis, the results showed the independent correlation between PT [odds ratio (OR): 3.16; 95% confidence interval (CI): 1.612-6.194;
conclusionCoagulation markers, namely PT, aPTT and FDP, might be potential predictors for screening BM in patients with GC.
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