Unraveling the role of computed tomography derived body composition metrics on anastomotic leakages rates in rectal cancer surgery: A protocol for a systematic review and meta-analysis

• Published in: PloS one Vol. 19; no. 7; p. e0307606
• Main Authors: Broekman, Mark, Genders, Charlotte M. S, Geitenbeek, Ritchie T. J, Havenga, Klaas, Kruijff, Schelto, Klaase, Joost M, Viddeleer, Alain R, Consten, Esther C. J
• Format: Journal Article
• Language: English
• Published: San Francisco Public Library of Science 24.07.2024; Public Library of Science (PLoS)
• Subjects: Anastomotic leak; Body composition; Cancer; Cancer surgery; Colorectal cancer; Computed tomography; Cost analysis; CT imaging; Data collection; Decision making; Heterogeneity; Literature reviews; Medical imaging; Medicine and Health Sciences; Meta-analysis; Morbidity; Ostomy; Patients; Physical Sciences; Physiological aspects; Quality assessment; Quality control; Rectum; Research and Analysis Methods; Sensitivity analysis; Software; Statistical analysis; Study Protocol; Surgery; Surgical anastomosis; Systematic review; Tomography
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0307606

Anastomotic leakage is a major concern following total mesorectal excision for rectal cancer, affecting oncological outcomes, morbidity an treatment costs. Body composition has been suggested to influence anastomotic leakage rates. However, literature on how body composition impact anastomotic leakage rates is conflicting. This systematic review aims to evaluate the role of computed tomography derived body composition metrics on anastomotic leakage rates in rectal cancer patients. Databases PubMed/MEDLINE, Cochrane Library, web of science, and EMBASE, will be systematically searched for papers from January 2010 onwards. Study selection, data collection and quality assessment will be independently performed by three research fellows. Outcomes described in three or more studies will be included in the meta-analysis. The Q-test and I2 statistic will be used to assess statistical heterogeneity between studies. Publication bias will be examined by visual inspection of funnel plots and quantified by Egger's test. Sensitivity analyses will be conducted to examine the robustness of the meta-analysis. Reporting of the findings will be in line with the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines. This systematic review will synthesize the current evidence and will identify knowledge gaps. Results of the systematic review will aid health care professional in pre-operative decision making and will be distributed through a peer-reviewed publication and presentation of results at international meetings.