ArticleAnnals of surgical oncology2022
Early Diagnosis of Anastomotic Leakage After Gastric Cancer Surgery Via Analysis of Inflammatory Factors in Abdominal Drainage.
Article in Annals of surgical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Systematic review and meta-analysis of risk prediction models for anastomotic leak after gastric cancer surgery.Frontiers in medicine · 2026Pooled it
- Prophylactic drainage versus non-drainage following gastric cancer surgery: a meta-analysis of randomized controlled trials and observational studies.World journal of surgical oncology · 2023Pooled it
- Development and validation of a LASSO-based nomogram for predicting anastomotic leakage in elderly patients after laparoscopic gastrectomy.Journal of gastrointestinal oncology · 2025Article
- Application and progress of nomograms in gastric cancer.Frontiers in medicine · 2025Review
- Analysis of postoperative complications and long term survival following radical gastrectomy for patients with gastric cancer.Scientific reports · 2024Article
- Clinical value of prognostic nutritional index combined with C-reactive protein and albumin in early prediction of anastomotic leakage after radical gastric cancer surgery.American journal of translational research · 2024Article
- Surgical Sealant with Integrated Shape-Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- A novel scoring system for the early detection of anastomotic leakage: bedside leak score-a pilot study.Frontiers in surgery · 2023Article
- Letter to Editor of Annals of Surgical Oncology Concerning "Early Diagnosis of Anastomotic Leakage after Gastric Cancer Surgery via Analysis of Inflammatory Factors in Abdominal Drainage".Annals of surgical oncology · 2022Article
- Early diagnosis of anastomotic leakage after colorectal cancer surgery using an inflammatory factors-based score system.BJS open · 2022Article
- ASO Author Reflections: Surgical Resection May Improve the Outcome for Patients with Residual Metastatic Melanoma When Modern Systemic Therapies Have Not Achieved Complete Disease Control.Annals of surgical oncology · 2021Article
- Peripheral Lymphocyte Subsets Absolute Counts as Feasible Clinical Markers for Predicting Surgical Outcome in Gastric Cancer Patients After Laparoscopic D2 Gastrectomy: A Prospective Cohort Study.Journal of inflammation research · 2021Article
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8 authors.
Funding
Abstract
backgroundAnastomotic leakage (AL) is the most serious postoperative complication for patients with gastric cancer. We aim to develop clinically tools to detect AL in the early phase by analysis of the inflammatory factors (IFs) in abdominal drainage.
methodsWe prospectively included 326 patients to establish two independent cohorts, and the concentration of IFs within abdominal drainage was detected. In the primary cohort, an IF-based AL prediction model was constructed using the least absolute shrinkage and selection operator (LASSO) regression. The predictive value of the model was later validated via the validation cohort.
resultsAnalyzing the IFs with LASSO regression, we developed an Anastomotic Score system on postoperative Day 3 (AScore-POD3), which yielded high diagnostic efficacy in the primary cohort (the area under the curve (AUC) = 0.87). The predictive value of AScore-POD3 was validated in the validation cohort, and its AUC was 0.83. We further built an AScore-POD3 based nomogram by combining the AScore-POD3 system with other clinical risk factors of AL. The C-index of the nomogram was 0.93 in the primary cohort and 0.82 in the validation cohort.
conclusionsOur study suggests that AL can be early diagnosed after gastric cancer surgery by measuring drainage IFs.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.