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.
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| Title: | 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. |
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| Authors: | Broekman M; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands.; Department of Surgery, Meander Medical Center, Amersfoort, The Netherlands., Genders CMS; Department of Surgery, Meander Medical Center, Amersfoort, The Netherlands., Geitenbeek RTJ; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands.; Department of Surgery, Meander Medical Center, Amersfoort, The Netherlands., Havenga K; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands., Kruijff S; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands., Klaase JM; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands., Viddeleer AR; Department of Radiology, Medical Imaging Center, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands., Consten ECJ; Department of Surgery, Groningen University Medical Center, University of Groningen, Groningen, The Netherlands.; Department of Surgery, Meander Medical Center, Amersfoort, The Netherlands. |
| Source: | PloS one [PLoS One] 2024 Jul 24; Vol. 19 (7), pp. e0307606. Date of Electronic Publication: 2024 Jul 24 (Print Publication: 2024). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0307606 |
