Preoperative Chronic Inflammation Is a Risk Factor for Postoperative Complications Independent of Body Composition in Gastric Cancer Patients Undergoing Radical Gastrectomy
Abstract
:Simple Summary
Abstract
1. Introduction
2. Materials and Methods
2.1. Eligibility Criteria
2.2. Data Collection and Definition
2.3. Outcomes
2.4. Statistical Analyses
3. Results
3.1. Baseline Characteristics
3.2. Postoperative Results Compared before and after Matching
3.3. Multivariate Analysis Related to Postoperative Complications
3.4. Multivariate Analysis Related to Postoperative Complications in Patients without Chronic Inflammation
3.5. Multivariate Analysis Related to Postoperative Complications in Patients with Chronic Inflammation
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- Wang, S.; Xu, L.; Wang, Q.; Li, J.; Bai, B.; Li, Z.; Wu, X.; Yu, P.; Li, X.; Yin, J. Postoperative complications and prognosis after radical gastrectomy for gastric cancer: A systematic review and meta-analysis of observational studies. World J. Surg. Oncol. 2019, 17, 52. [Google Scholar] [CrossRef]
- Shimada, H.; Fukagawa, T.; Haga, Y.; Oba, K. Does postoperative morbidity worsen the oncological outcome after radical surgery for gastrointestinal cancers? A systematic review of the literature. Ann. Gastroenterol. Surg. 2017, 1, 11–23. [Google Scholar] [CrossRef]
- Okamura, A.; Watanabe, M.; Fukudome, I.; Yamashita, K.; Yuda, M.; Hayami, M.; Imamura, Y.; Mine, S. Relationship between Visceral Obesity and Postoperative Inflammatory Response Following Minimally Invasive Esophagectomy. World J. Surg. 2018, 42, 3651–3657. [Google Scholar] [CrossRef]
- Furukawa, A.; Furukawa, K.; Suzuki, D.; Yoshitomi, H.; Takayashiki, T.; Kuboki, S.; Miyazaki, M.; Ohtsuka, M. Effect of immunonutrition on infectious complications in low skeletal muscle mass patients after pancreaticoduodenectomy. Clin. Nutr. 2021, 40, 103–109. [Google Scholar] [CrossRef]
- Rettig, T.C.D.; Verwijmeren, L.; Dijkstra, I.M.; Boerma, D.; van de Garde, E.M.W.; Noordzij, P.G. Postoperative Interleukin-6 Level and Early Detection of Complications after Elective Major Abdominal Surgery. Ann. Surg. 2016, 263, 1207–1212. [Google Scholar] [CrossRef]
- Nakamura, T.; Hojo, Y.; Kumamoto, T.; Kurahashi, Y.; Ishida, Y.; Shinohara, H. History of the lymph node numbering system in the Japanese Classification of Gastric Carcinoma since 1962. Surg. Today 2022, 52, 1515–1523. [Google Scholar] [CrossRef]
- Xu, L.; Shi, M.; Huang, Z.; Zhang, W.; Zhang, H.; Shen, X.; Chen, X. Impact of malnutrition diagnosed using Global Leadership Initiative on Malnutrition criteria on clinical outcomes of patients with gastric cancer. JPEN J. Parenter. Enteral Nutr. 2022, 46, 385–394. [Google Scholar] [CrossRef]
- Cederholm, T.; Jensen, G.L.; Correia, M.I.T.D.; Gonzalez, M.C.; Fukushima, R.; Higashiguchi, T.; Baptista, G.; Barazzoni, R.; Blaauw, R.; Coats, A.; et al. GLIM criteria for the diagnosis of malnutrition—A consensus report from the global clinical nutrition community. Clin. Nutr. 2019, 38, 1–9. [Google Scholar] [CrossRef] [PubMed]
- Katayama, H.; Kurokawa, Y.; Nakamura, K.; Ito, H.; Kanemitsu, Y.; Masuda, N.; Tsubosa, Y.; Satoh, T.; Yokomizo, A.; Fukuda, H.; et al. Extended Clavien-Dindo classification of surgical complications: Japan Clinical Oncology Group postoperative complications criteria. Surg. Today 2016, 46, 668–685. [Google Scholar] [CrossRef] [PubMed]
- McOwan, M.; Johnson, M.A.; Ward, S.; Read, M.; Chong, L.; Taylor, L.; Hii, M.W. C-reactive protein is a predictor of severe infective complications following gastrectomy—A retrospective analysis. J. Gastrointest. Oncol. 2023, 14, 64–72. [Google Scholar] [CrossRef] [PubMed]
- van Winsen, M.; McSorley, S.T.; McLeod, R.; MacDonald, A.; Forshaw, M.J.; Shaw, M.; Puxty, K. Postoperative C-reactive protein concentrations to predict infective complications following gastrectomy for cancer. J. Surg. Oncol. 2021, 124, 1060–1069. [Google Scholar] [CrossRef]
- Imai, Y.; Tanaka, R.; Honda, K.; Matsuo, K.; Taniguchi, K.; Asakuma, M.; Lee, S.-W. The usefulness of presepsin in the diagnosis of postoperative infectious complications after gastrectomy for gastric cancer: A prospective cohort study. Sci. Rep. 2022, 12, 21289. [Google Scholar] [CrossRef]
- Jiao, Y.; Zhang, X.; Liu, M.; Sun, Y.; Ma, Z.; Gu, X.; Gu, W.; Zhu, W. Systemic immune-inflammation index within the first postoperative hour as a predictor of severe postoperative complications in upper abdominal surgery: A retrospective single-center study. BMC Gastroenterol. 2022, 22, 403. [Google Scholar] [CrossRef]
- Gordon, A.C.; Cross, A.J.; Foo, E.W.; Roberts, R.H. C-reactive protein is a useful negative predictor of anastomotic leak in oesophago-gastric resection. ANZ J. Surg. 2018, 88, 223–227. [Google Scholar] [CrossRef]
- Yeung, D.E.; Peterknecht, E.; Hajibandeh, S.; Hajibandeh, S.; Torrance, A.W. C-reactive protein can predict anastomotic leak in colorectal surgery: A systematic review and meta-analysis. Int. J. Colorectal Dis. 2021, 36, 1147–1162. [Google Scholar] [CrossRef]
- Kim, M.-R.; Kim, A.-S.; Choi, H.-I.; Jung, J.-H.; Park, J.Y.; Ko, H.-J. Inflammatory markers for predicting overall survival in gastric cancer patients: A systematic review and meta-analysis. PLoS ONE 2020, 15, e0236445. [Google Scholar] [CrossRef]
- Gao, Y.; Huang, D. The value of the systematic inflammation-based Glasgow Prognostic Score in patients with gastric cancer: A literature review. J. Cancer Res. Ther. 2014, 10, 799–804. [Google Scholar]
- Hirahara, N.; Matsubara, T.; Kaji, S.; Kawabata, Y.; Hyakudomi, R.; Yamamoto, T.; Uchida, Y.; Ishitobi, K.; Takai, K.; Tajima, Y. Glasgow prognostic score is a better predictor of the long-term survival in patients with gastric cancer, compared to the modified Glasgow prognostic score or high-sensitivity modified Glasgow prognostic score. Oncotarget 2020, 11, 4169–4177. [Google Scholar] [CrossRef] [PubMed]
- Baracos, V.E.; Martin, L.; Korc, M.; Guttridge, D.C.; Fearon, K.C.H. Cancer-associated cachexia. Nat. Rev. Dis. Primers 2018, 4, 17105. [Google Scholar] [CrossRef] [PubMed]
- Argilés, J.M.; López-Soriano, F.J.; Stemmler, B.; Busquets, S. Cancer-associated cachexia-understanding the tumour macroenvironment and microenvironment to improve management. Nat. Rev. Clin. Oncol. 2023, 20, 250–264. [Google Scholar] [CrossRef] [PubMed]
- Mira, J.C.; Gentile, L.F.; Mathias, B.J.; Efron, P.A.M.; Brakenridge, S.C.; Mohr, A.M.; Moore, F.A.M.; Moldawer, L.L. Sepsis Pathophysiology, Chronic Critical Illness, and Persistent Inflammation-Immunosuppression and Catabolism Syndrome. Crit. Care Med. 2017, 45, 253–262. [Google Scholar] [CrossRef]
- Margraf, A.; Ludwig, N.; Zarbock, A.; Rossaint, J. Systemic Inflammatory Response Syndrome After Surgery: Mechanisms and Protection. Anesth. Analg. 2020, 131, 1693–1707. [Google Scholar] [CrossRef]
- Hotchkiss, R.S.; Monneret, G.; Payen, D. Sepsis-induced immunosuppression: From cellular dysfunctions to immunotherapy. Nat. Rev. Immunol. 2013, 13, 862–874. [Google Scholar] [CrossRef]
- Kawai, T.; Autieri, M.V.; Scalia, R. Adipose tissue inflammation and metabolic dysfunction in obesity. Am. J. Physiol. Cell Physiol. 2021, 320, C375–C391. [Google Scholar] [CrossRef]
- Bano, G.; Trevisan, C.; Carraro, S.; Solmi, M.; Luchini, C.; Stubbs, B.; Manzato, E.; Sergi, G.; Veronese, N. Inflammation and sarcopenia: A systematic review and meta-analysis. Maturitas 2017, 96, 10–15. [Google Scholar] [CrossRef]
- Zhang, F.; Qiao, S.; Yao, N.; Li, C.; Weber, M.-C.; Jefferies, B.; Friess, H.; Reischl, S.; Neumann, P.-A. Anastomotic Rings and Inflammation Values as Biomarkers for Leakage of Stapled Circular Colorectal Anastomoses. Diagnostics 2022, 12, 2902. [Google Scholar] [CrossRef] [PubMed]
- Matsui, R.; Watanabe, J.; Banno, M.; Inaki, N.; Fukunaga, T. Association of visceral adipose tissue with postoperative outcome in upper gastrointestinal cancer: A systematic review and meta-analysis. Am. J. Clin. Nutr. 2022, 116, 1540–1552. [Google Scholar] [CrossRef] [PubMed]
- Wu, C.-X.; Rao, D.-Y.; Sang, C.-P.; Zhu, S.-Y.; Gu, L.; Wu, Y.-Y.; Wang, J.-F.; Shi, H.-Q.; Wang, X.-C.; Tang, Z.-X. Peripheral blood inflammation indices are effective predictors of anastomotic leakage in elective esophageal surgery. J. Gastrointest. Oncol. 2021, 12, 2675–2684. [Google Scholar] [CrossRef] [PubMed]
- Suzuki, K. Chronic Inflammation as an Immunological Abnormality and Effectiveness of Exercise. Biomolecules 2019, 9, 223. [Google Scholar] [CrossRef] [PubMed]
- Jabłońska, B.; Mrowiec, S. The Role of Immunonutrition in Patients Undergoing Pancreaticoduodenectomy. Nutrients 2020, 12, 2547. [Google Scholar] [CrossRef] [PubMed]
- Ateş, E.; Yilmaz, S.; Erkasap, S.; Ihtiyar, E.; Kaya, Y.; Pehlivan, T.; Ustuner, Z.; Yasar, B.; Kiper, H. Perioperative immunonutrition ameliorates the postoperative immune depression in patients with gastrointestinal system cancer (prospective clinical study in 42 patients). Acta Gastroenterol. Belg. 2004, 67, 250–254. [Google Scholar] [PubMed]
- Arends, J.; Baracos, V.; Bertz, H.; Bozzetti, F.; Calder, P.C.; Deutz, N.E.P.; Erickson, N.; Laviano, A.; Lisanti, M.P.; Lobo, D.N.; et al. ESPEN expert group recommendations for action against cancer-related malnutrition. Clin. Nutr. 2017, 36, 1187–1196. [Google Scholar] [CrossRef] [PubMed]
All Patients | After Matching | |||||
---|---|---|---|---|---|---|
Non-Inflammation Group (N = 852) | Inflammation Group (N = 99) | p Value | Non-Inflammation Group (N = 99) | Inflammation Group (N = 99) | p Value | |
Sex | 0.307 | 1.000 | ||||
Male | 574 (67.4%) | 72 (72.7%) | 72 (72.7%) | 72 (72.7%) | ||
Female | 278 (32.6%) | 27 (27.3%) | 27 (27.3%) | 27 (27.3%) | ||
Age, mean ± SD | 65.81 ± 11.13 | 71.28 ± 9.66 | <0.001 | 71.71 ± 8.84 | 71.28 ± 9.66 | 0.747 |
Body mass index, mean ± SD | 22.95 ± 3.26 | 22.83 ± 3.72 | 0.743 | 23.21 ± 3.37 | 22.83 ± 3.72 | 0.458 |
Surgical approach | <0.001 | 0.773 | ||||
Laparoscopic surgery | 668 (78.4%) | 57 (57.6%) | 60 (60.6%) | 57 (57.6%) | ||
Open surgery | 184 (21.6%) | 42 (42.4%) | 39 (39.4%) | 42 (42.4%) | ||
Surgical procedure | 0.019 | 0.367 | ||||
Distal gastrectomy | 576 (67.6%) | 57 (57.5%) | 54 (54.5%) | 57 (57.5%) | ||
Proximal gastrectomy | 78 (9.2%) | 6 (6.1%) | 12 (12.1%) | 6 (6.1%) | ||
Total gastrectomy | 198 (23.2%) | 36 (36.4%) | 33 (33.3%) | 36 (36.4%) | ||
Lymph node dissection | 0.914 | 0.665 | ||||
D1+ | 510 (59.8%) | 60 (60.6%) | 56 (56.6%) | 60 (60.6%) | ||
D2 | 342 (40.2%) | 39 (39.4%) | 43 (43.4%) | 39 (39.4%) | ||
Clinical stage | 0.002 | 0.857 | ||||
I | 573 (67.3%) | 51 (51.5%) | 50 (50.5%) | 51 (51.5%) | ||
II | 135 (15.8%) | 17 (17.2%) | 15 (15.2%) | 17 (17.2%) | ||
III | 144 (16.9%) | 31 (31.3%) | 34 (34.3%) | 31 (31.3%) | ||
Comorbidity | ||||||
CKD | 137 (16.1%) | 20 (20.2%) | 0.316 | 24 (24.2%) | 20 (20.2%) | 0.608 |
COPD | 174 (20.4%) | 29 (29.3%) | 0.051 | 30 (30.3%) | 29 (29.3%) | 1.000 |
Diabetes | 129 (15.1%) | 21 (21.2%) | 0.144 | 13 (13.1%) | 21 (21.2%) | 0.187 |
SMI (cm2/m2) | ||||||
Median (IQR) | 40.01 (34.50–46.82) | 40.50 (34.31–44.80) | 0.378 | 38.75 (33.96–44.51) | 40.50 (34.31–44.80) | 0.833 |
Low-SMI | 337 (39.6%) | 45 (45.5%) | 0.503 | 42 (42.4%) | 45 (45.5%) | 0.900 |
VFA (cm2/m2) | ||||||
Median (IQR) | 78.95 (41.28–128.9) | 87.55 (49.30–125.0) | 0.237 | 66.35 (34.55–133.4) | 87.55 (49.30–125.0) | 0.190 |
≥100 cm2/m2 | 298 (38.1%) | 40 (43.0%) | 0.369 | 31 (34.1%) | 40 (43.0%) | 0.229 |
GLIM-defined malnutrition | 221 (25.9%) | 37 (37.4%) | 0.023 | 28 (28.3%) | 37 (37.4%) | 0.226 |
Moderate | 124 (14.6%) | 19 (19.2%) | 0.234 | 14 (14.1%) | 19 (19.2%) | 0.446 |
Severe | 97 (11.4%) | 18 (18.2%) | 0.071 | 14 (14.1%) | 18 (18.2%) | 0.563 |
Before Matching | After Matching | |||||
---|---|---|---|---|---|---|
Non-Inflammation Group (N = 852) | Inflammation Group (N = 99) | p Value | Non-Inflammation Group (N = 99) | Inflammation Group (N = 99) | p Value | |
Operation time (min), median (IQR) | 250 (210, 310) | 235 (198, 300) | 0.123 | 240 (195, 310) | 235 (198, 300) | 0.738 |
Intraoperative blood loss (g), median (IQR) | 20.0 (10.0, 50.0) | 30.0 (10.0, 147.5) | 0.001 | 30.0 (10.0, 150.0) | 30.0 (10.0, 147.5) | 0.450 |
Postoperative hospital stay (days), median (IQR) | 14.0 (11.0, 18.0) | 16.0 (12.0, 25.5) | 0.003 | 15.0 (10.5–19.5) | 16.0 (12.0–25.5) | 0.016 |
Postoperative complications | ||||||
Infectious complications | 115 (13.5%) | 24 (24.2%) | 0.007 | 13 (13.1%) | 24 (24.2%) | 0.067 |
Pneumonia | 18 (2.1%) | 7 (7.1%) | 0.011 | 4 (4.0%) | 7 (7.1%) | 0.537 |
Incisional SSI | 25 (2.9%) | 3 (3.0%) | 1.000 | 1 (1.0%) | 3 (3.0%) | 0.621 |
Intra-abdominal abscess | 59 (6.9%) | 10 (10.1%) | 0.303 | 4 (4.0%) | 10 (10.1%) | 0.164 |
Pancreatic fistula | 41 (4.8%) | 2 (2.0%) | 0.305 | 4 (4.0%) | 2 (2.0%) | 0.683 |
Anastomotic leakage | 35 (4.1%) | 10 (10.1%) | 0.020 | 3 (3.0%) | 10 (10.1%) | 0.082 |
Severe complications | 51 (6.0%) | 11 (11.1%) | 0.081 | 7 (7.1%) | 11 (11.1%) | 0.459 |
Total complications | 145 (17.0%) | 31 (31.3%) | 0.001 | 16 (16.2%) | 31 (31.3%) | 0.019 |
Variables | Univariate Analysis | Multivariate Analysis | ||||
---|---|---|---|---|---|---|
OR | 95% CI | p Value | OR | 95% CI | p Value | |
Sex | ||||||
Female | 1 | 1 | ||||
Male | 2.250 | 1.500–3.360 | <0.001 | 1.840 | 1.210–2.800 | 0.004 |
Age (years) | ||||||
<70 | 1 | 1 | ||||
≥70 | 1.340 | 0.960–1.860 | 0.086 | 1.140 | 0.799–1.640 | 0.461 |
Surgical procedure | ||||||
Distal gastrectomy | 1 | 1 | ||||
Total gastrectomy | 1.460 | 1.020–2.100 | 0.039 | 1.380 | 0.949–2.000 | 0.093 |
Surgical approach | ||||||
Laparoscopic surgery | 1 | |||||
Open surgery | 1.350 | 0.935–1.950 | 0.110 | |||
Lymph node dissection | ||||||
D1+ | 1 | |||||
D2 | 0.983 | 0.704–1.370 | 0.921 | |||
Clinical stage | ||||||
I | 1 | |||||
≥II | 1.220 | 0.868–1.710 | 0.255 | |||
CKD | ||||||
Absent | 1 | 1 | ||||
Present | 1.730 | 1.150–2.580 | 0.008 | 1.370 | 0.895–2.100 | 0.146 |
COPD | ||||||
Absent | 1 | 1 | ||||
Present | 1.610 | 1.110–2.340 | 0.012 | 1.380 | 0.930–2.040 | 0.111 |
Diabetes | ||||||
Absent | 1 | 1 | ||||
Present | 1.490 | 0.983–2.260 | 0.060 | 1.170 | 0.756–1.820 | 0.478 |
SMI | ||||||
High-SMI | 1 | 1 | ||||
Low-SMI | 0.737 | 0.521–1.040 | 0.086 | 0.869 | 0.599–1.260 | 0.457 |
Visceral fat area | ||||||
<100 cm2/m2 | 1 | 1 | ||||
≥100 cm2/m2 | 1.870 | 1.330–1.920 | <0.001 | 1.560 | 1.080–2.250 | 0.017 |
GLIM-defined malnutrition | ||||||
Absent | 1 | |||||
Present | 0.906 | 0.624–1.320 | 0.606 | |||
Preoperative CRP | ||||||
<0.5 mg/dL | 1 | 1 | ||||
≥0.5 mg/dL | 2.220 | 1.400–3.520 | <0.001 | 1.950 | 1.210–3.160 | 0.006 |
Variables | Univariate Analysis | Multivariate Analysis | ||||
---|---|---|---|---|---|---|
OR | 95% CI | p Value | OR | 95% CI | p Value | |
Sex | ||||||
Female | 1 | 1 | ||||
Male | 2.530 | 1.610–3.980 | <0.001 | 2.120 | 1.330–3.370 | 0.001 |
Age (years) | ||||||
<70 | 1 | |||||
≥70 | 1.310 | 0.914–1.890 | 0.141 | |||
Surgical procedure | ||||||
Distal gastrectomy | 1 | |||||
Total gastrectomy | 1.320 | 0.883–1.980 | 0.175 | |||
Surgical approach | ||||||
Laparoscopic surgery | 1 | |||||
Open surgery | 1.310 | 0.862–1.980 | 0.209 | |||
Lymph node dissection | ||||||
D1+ | 1 | |||||
D2 | 0.924 | 0.640–1.330 | 0.673 | |||
Clinical stage | ||||||
I | 1 | |||||
≥II | 1.140 | 0.783–1.660 | 0.495 | |||
CKD | ||||||
Absent | 1 | 1 | ||||
Present | 1.800 | 1.160–2.780 | 0.009 | 1.490 | 0.946–2.330 | 0.086 |
COPD | ||||||
Absent | 1 | 1 | ||||
Present | 1.490 | 0.985–2.260 | 0.059 | 1.330 | 0.867–2.030 | 0.193 |
Diabetes | ||||||
Absent | 1 | 1 | ||||
Present | 1.520 | 0.959–2.400 | 0.075 | 1.200 | 0.743–1.930 | 0.457 |
SMI | ||||||
High-SMI | 1 | |||||
Low-SMI | 0.725 | 0.493–1.060 | 0.100 | |||
Visceral fat area | ||||||
<100 cm2/m2 | 1 | 1 | ||||
≥100 cm2/m2 | 2.100 | 1.440–3.050 | <0.001 | 1.690 | 1.140–2.510 | 0.009 |
GLIM-defined malnutrition | ||||||
Absent | 1 | |||||
Present | 0.891 | 0.588–1.350 | 0.587 |
Variables | Univariate Analysis | Multivariate Analysis | ||||
---|---|---|---|---|---|---|
OR | 95% CI | p Value | OR | 95% CI | p Value | |
Sex | ||||||
Female | 1 | |||||
Male | 1.110 | 0.425–2.920 | 0.825 | |||
Age (years) | ||||||
<70 | 1 | |||||
≥70 | 0.912 | 0.385–2.160 | 0.834 | |||
Surgical procedure | ||||||
Distal gastrectomy | 1 | |||||
Total gastrectomy | 1.720 | 0.721–4.110 | 0.221 | |||
Surgical approach | ||||||
Laparoscopic surgery | 1 | |||||
Open surgery | 0.971 | 0.411–2.300 | 0.947 | |||
Lymph node dissection | ||||||
D1+ | 1 | |||||
D2 | 1.420 | 0.598–3.350 | 0.429 | |||
Clinical stage | ||||||
I | 1 | |||||
≥II | 1.200 | 0.513–2.810 | 0.674 | |||
CKD | ||||||
Absent | 1 | |||||
Present | 1.230 | 0.438–3.480 | 0.691 | |||
COPD | ||||||
Absent | 1 | |||||
Present | 1.890 | 0.765–4.700 | 0.168 | |||
Diabetes | ||||||
Absent | 1 | |||||
Present | 1.120 | 0.403–3.140 | 0.822 | |||
SMI | ||||||
High-SMI | 1 | |||||
Low-SMI | 0.677 | 0.284–1.620 | 0.380 | |||
Visceral fat area | ||||||
<100 cm2/m2 | 1 | |||||
≥100 cm2/m2 | 0.936 | 0.391–2.240 | 0.882 | |||
GLIM-defined malnutrition | ||||||
Absent | 1 | |||||
Present | 0.723 | 0.295–1.770 | 0.478 |
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Share and Cite
Matsui, R.; Inaki, N.; Tsuji, T.; Fukunaga, T. Preoperative Chronic Inflammation Is a Risk Factor for Postoperative Complications Independent of Body Composition in Gastric Cancer Patients Undergoing Radical Gastrectomy. Cancers 2024, 16, 833. https://doi.org/10.3390/cancers16040833
Matsui R, Inaki N, Tsuji T, Fukunaga T. Preoperative Chronic Inflammation Is a Risk Factor for Postoperative Complications Independent of Body Composition in Gastric Cancer Patients Undergoing Radical Gastrectomy. Cancers. 2024; 16(4):833. https://doi.org/10.3390/cancers16040833
Chicago/Turabian StyleMatsui, Ryota, Noriyuki Inaki, Toshikatsu Tsuji, and Tetsu Fukunaga. 2024. "Preoperative Chronic Inflammation Is a Risk Factor for Postoperative Complications Independent of Body Composition in Gastric Cancer Patients Undergoing Radical Gastrectomy" Cancers 16, no. 4: 833. https://doi.org/10.3390/cancers16040833
APA StyleMatsui, R., Inaki, N., Tsuji, T., & Fukunaga, T. (2024). Preoperative Chronic Inflammation Is a Risk Factor for Postoperative Complications Independent of Body Composition in Gastric Cancer Patients Undergoing Radical Gastrectomy. Cancers, 16(4), 833. https://doi.org/10.3390/cancers16040833