Literature DB >> 31744186

Systematic Review of the Role of Biomarkers in Predicting Anastomotic Leakage Following Gastroesophageal Cancer Surgery.

Cornelius Maarten de Mooij1, Martijn Maassen van den Brink1, Audrey Merry2, Thais Tweed1, Jan Stoot1.   

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.

Entities:  

Keywords:  anastomotic leakage; biomarkers; upper gastrointestinal tract

Year:  2019        PMID: 31744186     DOI: 10.3390/jcm8112005

Source DB:  PubMed          Journal:  J Clin Med        ISSN: 2077-0383            Impact factor:   4.241


  5 in total

1.  Sex, Type of Surgery, and Surgical Site Infections Are Associated with Perioperative Cortisol in Colorectal Cancer Patients.

Authors:  Mariusz G Fleszar; Paulina Fortuna; Marek Zawadzki; Paweł Hodurek; Iwona Bednarz-Misa; Wojciech Witkiewicz; Małgorzata Krzystek-Korpacka
Journal:  J Clin Med       Date:  2021-02-04       Impact factor: 4.241

2.  Evaluation of the use of inflammatory biomarkers in the early detection of anastomotic leakage after esophagectomy: A retrospective analysis.

Authors:  Mina Azer; Sorin Miftode; Maximilian Bockhorn; Nader El-Sourani
Journal:  Surg Open Sci       Date:  2022-05-20

3.  Clinical, Pathological and Microbiological Evaluation of Diabetic Foot Syndrome.

Authors:  Bogdan Uivaraseanu; Simona Bungau; Delia Mirela Tit; Ovidiu Fratila; Marius Rus; Teodor Andrei Maghiar; Octavian Maghiar; Carmen Pantis; Cosmin Mihai Vesa; Dana Carmen Zaha
Journal:  Medicina (Kaunas)       Date:  2020-07-28       Impact factor: 2.430

4.  Usefulness of delta neutrophil index as a biomarker to predict postoperative complication in patients who underwent esophagectomy: A case-control study.

Authors:  Seong Chan Gong; Hoon Ryu; Ji Young Jang
Journal:  Medicine (Baltimore)       Date:  2021-12-23       Impact factor: 1.817

5.  Late-onset anastomotic leak following sweet esophagectomy: A case report and review of the literature.

Authors:  Feng-Wei Kong; Wei-Min Wang; Lei Liu; Wen-Bin Wu; Long-Bo Gong; Miao Zhang
Journal:  Medicine (Baltimore)       Date:  2020-10-02       Impact factor: 1.817

  5 in total

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