ReviewJournal of clinical medicine2019
Systematic Review of the Role of Biomarkers in Predicting Anastomotic Leakage Following Gastroesophageal Cancer Surgery.
Review in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Biomarkers associated with anastomotic leakage after esophagectomy: a systematic review.Langenbeck's archives of surgery · 2025Pooled it
- Performance of a consensus-based algorithm for diagnosing anastomotic leak after minimally invasive esophagectomy for esophageal cancer.Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus · 2023Trial
- Article
- Integrating serological and drainage fluid indicators: developing two predictive models for early detection of postoperative intra-abdominal infections in gastrointestinal tumor patients.Frontiers in oncology · 2025Article
- Article
- Review
- High amylase concentration in drainage liquid can early predict proximal and distal intestinal anastomotic leakages: A prospective observational study.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2023Article
- Comparison of pleural drain amylase and serum C-reactive protein for early detection of intrathoracic esophago-gastric anastomotic leaks.Langenbeck's archives of surgery · 2022Observational
- Evaluation of the use of inflammatory biomarkers in the early detection of anastomotic leakage after esophagectomy: A retrospective analysis.Surgery open science · 2022Article
- Prediction Model of Anastomotic Leakage Among Esophageal Cancer Patients After Receiving an Esophagectomy: Machine Learning Approach.JMIR medical informatics · 2021Article
- Early detection of anastomotic leakage after esophagectomy using drain amylase levels.Esophagus : official journal of the Japan Esophageal Society · 2021Article
- Sex, Type of Surgery, and Surgical Site Infections Are Associated with Perioperative Cortisol in Colorectal Cancer Patients.Journal of clinical medicine · 2021Article
- Late-onset anastomotic leak following sweet esophagectomy: A case report and review of the literature.Medicine · 2020Article
- Clinical, Pathological and Microbiological Evaluation of Diabetic Foot Syndrome.Medicina (Kaunas, Lithuania) · 2020Article
- L-Arginine/NO Pathway Metabolites in Colorectal Cancer: Relevance as Disease Biomarkers and Predictors of Adverse Clinical Outcomes Following Surgery.Journal of clinical medicine · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anastomotic leakage (AL) following gastroesophageal cancer surgery remains a serious postoperative complication. This systematic review aims to provide an overview of investigated biomarkers for the early detection of AL following esophagectomy, esophagogastrectomy and gastrectomy. All published studies evaluating the diagnostic accuracy of biomarkers predicting AL following gastroesophageal resection for cancer were included. The Embase, Medline, Cochrane Library, PubMed and Web of Science databases were searched. Risk of bias and applicability were assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) 2 tool. Twenty-four studies evaluated biomarkers in the context of AL following gastroesophageal cancer surgery. Biomarkers were derived from the systemic circulation, mediastinal and peritoneal drains, urine and mediastinal microdialysis. The most commonly evaluated serum biomarkers were C-reactive protein and leucocytes. Both proved to be useful markers for excluding AL owing to its high specificity and negative predictive values. Amylase was the most commonly evaluated peritoneal drain biomarker and significantly elevated levels can predict AL in the early postoperative period. The associated area under the receiver operating characteristic (AUROC) curve values ranged from 0.482 to 0.994. Current biomarkers are poor predictors of AL after gastroesophageal cancer surgery owing to insufficient sensitivity and positive predictive value. Further research is needed to identify better diagnostic tools to predict AL.
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