ArticleJMIR research protocols2016
Predictive Factors for Anastomotic Leakage After Colorectal Surgery: Study Protocol for a Prospective Observational Study (REVEAL Study).
Article in JMIR research protocols, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02347735 (Predictive Factors for Anastomotic Leakage After Colorectal Surgery), which is not on this map. Cited by 9 papers, 2 of them syntheses that pooled it.
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The trial behind it
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.
Predictive Factors for Anastomotic Leakage After Colorectal Surgery: The REVEAL Study
Who cites it
9 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Impact of Anastomotic Leakage After Colorectal Cancer Surgery on Quality of Life: A Systematic Review.Diseases of the colon and rectum · 2025Pooled it
- Association of computed tomography-derived body composition and complications after colorectal cancer surgery: A systematic review and meta-analysis.Journal of cachexia, sarcopenia and muscle · 2024Pooled it
- Tryptophan Indole Metabolites Reduce Anastomotic Leakage Through Aryl Hydrocarbon Receptor-Driven Interleukin-22 Production.Cellular and molecular gastroenterology and hepatology · 2026Article
- Preoperative Gut Microbiome in Patients With Colorectal Cancer: Potential for Fecal Biomarker-Based Recurrence Risk Prediction.JCO oncology advances · 2026Article
- The Effect of Albumin/Glutaraldehyde Glue (Bioglue) on Colonic Anastomosis Under Intestinal Obstruction: An Experimental Study in Rats.Journal of clinical medicine · 2025Article
- Postoperative CRP Levels Can Rule out Anastomotic Leaks in Crohn's Disease Patients.Journal of personalized medicine · 2022Article
- Author's reply to: Diagnostic accuracy of urinary intestinal fatty acid-binding protein in detecting colorectal anastomotic leakage.Techniques in coloproctology · 2020Article
- Diagnostic accuracy of urinary intestinal fatty acid binding protein in detecting colorectal anastomotic leakage.Techniques in coloproctology · 2020Article
- Near-infrared fluorescence image-guidance in anastomotic colorectal cancer surgery and its relation to serum markers of anastomotic leakage: a clinical pilot study.Surgical endoscopy · 2019Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAnastomotic leakage (AL) remains the most important complication following colorectal surgery, and is associated with high morbidity and mortality rates. Previous research has focused on identifying risk factors and potential biomarkers for AL, but the sensitivity of these tests remains poor.
objectiveThis prospective multicenter observational study aims at combining multiple parameters to establish a diagnostic algorithm for colorectal AL.
methodsThis study aims to include 588 patients undergoing surgery for colorectal carcinoma. Patients will be eligible for inclusion when surgery includes the construction of a colorectal anastomosis. Patient characteristics will be collected upon consented inclusion, and buccal swabs, breath, stool, and blood samples will be obtained prior to surgery. These samples will allow for the collection of information regarding patients' inflammatory status, genetic predisposition, and intestinal microbiota. Additionally, breath and blood samples will be taken postoperatively and patients will be strictly observed during their in-hospital stay, and the period shortly thereafter.
resultsThis study has been open for inclusion since August 2015.
conclusionsAn estimated 8-10% of patients will develop AL following surgery, and they will be compared to non-leakage patients. The objectives of this study are twofold. The primary aim is to establish and validate a diagnostic algorithm for the pre-operative prediction of the risk of AL development using a combination of inflammatory, immune-related, and genetic parameters. Previously established risk factors and novel parameters will be incorporated into this algorithm, which will aid in the recognition of patients who are at risk for AL. Based on these results, recommendations can be made regarding the construction of an anastomosis or deviating stoma, and possible preventive strategies. Furthermore, we aim to develop a new algorithm for the post-operative diagnosis of AL at an earlier stage, which will positively reflect on short-term survival rates.
trial registrationClinicaltrials.gov: NCT02347735; https://clinicaltrials.gov/ct2/show/NCT02347735 (archived by WebCite at http://www.webcitation.org/6hm6rxCsA).
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