Integrating surgical complexity and nutritional parameters to enhance prediction of postoperative complications in liver resection

The cholinesterase-liver resection complexity/approach model better predicted postoperative complications than nutritional indicators alone and may be useful for selecting patients who may benefit from nutritional support.

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Publication Details

Journal
Surgery
Published
2024-09-20
DOI
https://doi.org/10.1016/j.surg.2024.08.021
Citations
3
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.85
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article

Integrating surgical complexity and nutritional parameters to enhance prediction of postoperative complications in liver resection

Nobuhisa Akamatsu, Tomoaki Hayakawa, Kiyoshi Hasegawa, Andrea Campisi et al.
3 citations
Surgery
Pancreatic and Hepatic Oncology Research
0.85
article

Integrating surgical complexity and nutritional parameters to enhance prediction of postoperative complications in liver resection

Nobuhisa Akamatsu, Tomoaki Hayakawa, Kiyoshi Hasegawa, Andrea Campisi, Francesco Ardito, Junichi Kaneko, Felice Giuliante, Yoshikuni Kawaguchi, Akihiko Ichida, Kyoji Ito, Akinori Miyata, Satoru Abe, Yujiro Nishisoka
article en
3 citations

Abstract

The cholinesterase-liver resection complexity/approach model better predicted postoperative complications than nutritional indicators alone and may be useful for selecting patients who may benefit from nutritional support.

SurgeryVol. 176(6)
University of the Sacred Heart (JP), The University of Tokyo (JP)
Zero hunger
Openalex Percentile: Top 22%
Pancreatic and Hepatic Oncology Research
0.85
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Integrating surgical complexity and nutritional parameters to enhance prediction of postoperative complications in liver resection — Nobuhisa Akamatsu, Tomoaki Hayakawa, et al. · Surgery (2024) | TGRS Research Map | TGRS