ArticleLangenbeck's archives of surgery2020
The prognostic value of combined tumor markers and systemic immune-inflammation index in colorectal cancer patients.
Article in Langenbeck's archives of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Prognostic value of systemic immune-inflammation index for colorectal cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Prognostic value and clinicopathological significance of pre-and post-treatment systemic immune-inflammation index in colorectal cancer patients: a meta-analysis.World journal of surgical oncology · 2025Pooled it
- Pooled it
- Significance and Correlation Analysis of Folate Receptor-Positive Circulating Tumor Cells (FR + CTC) in Colorectal Cancer Patients.Cancer reports (Hoboken, N.J.) · 2026Article
- Article
- Prognostic value of routine blood biomarkers in 3-year survival of resectable colorectal cancer patients: a prognostic nomogram for clinical practice.International journal of colorectal disease · 2025Observational
- Monocytes-to-lymphocytes ratio increases the prognostic value of circulating tumor cells in non-small cell lung cancer: a prospective study.Translational cancer research · 2024Article
- Systemic immune-inflammation index in predicting hospitalized bronchiectasis exacerbation risks and disease severity.Journal of thoracic disease · 2024Article
- Aminotransferase-to-lymphocyte ratio as a valuable prognostic marker for patients with stage I-III colorectal cancer: a retrospective study.Frontiers in oncology · 2024Article
- The inflammatory burden index is a superior systemic inflammation biomarker for the prognosis of non-small cell lung cancer.Journal of cachexia, sarcopenia and muscle · 2023Article
- Serum and peritoneal biomarkers for the early prediction of symptomatic anastomotic leakage in patients following laparoscopic low anterior resection: A single-center prospective cohort study.Cancer reports (Hoboken, N.J.) · 2023Article
- Effect of the systemic immune-inflammation index on postoperative complications and the long-term prognosis of patients with colorectal cancer: a retrospective cohort study.Journal of gastrointestinal oncology · 2022Article
- A Nomogram Based on Clinicopathologic Features and Preoperative Hematology Parameters to Predict Occult Peritoneal Metastasis of Gastric Cancer: A Single-Center Retrospective Study.Disease markers · 2020Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study evaluated the significance of combining tumor markers (TM) and systemic immune-inflammation index (SII) for postoperative complications and long-term outcomes in colorectal cancer (CRC) patients.
methodsCRC patients (662) who underwent surgery between 2012 and 2014 were retrospectively enrolled into our study. Factors affecting postoperative complications were evaluated by logistic regression analysis. Prognostic factors were assessed using Kaplan-Meier and Cox proportional hazards models. Nomograms were constructed to predict the risk of postoperative complications and survival. A consistency index and a calibration curve were used to evaluate the predictive accuracy of nomograms.
resultsTM-SII score was established by combining TM and SII. Logistic regression analyses showed that TM-SII score was an important predictor of postoperative complications in CRC patients. Kaplan-Meier analyses showed that TM-SII score was favorable for prognostic risk stratification. In addition, multivariate analyses indicated that TM-SII score was an independent prognostic indicator for disease-free survival and overall survival. TM-SII based nomograms had a moderate prediction accuracy.
conclusionTM-SII score is a good prognostic indicator for CRC patients. It may be used as a useful risk stratification tool for advanced CRC patients. TM-SII-based nomograms could be used to identify CRC patients with poor outcomes.
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