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14 results on '"Endo, Hideki"'

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1. Analysis of the short-term outcomes after esophagectomy for esophageal cancer during the COVID-19 pandemic using data from a nationwide Japanese database.

2. Temporal trends in clinical characteristics and in-hospital mortality among patients with COVID-19 in Japan for waves 1, 2, and 3: A retrospective cohort study.

4. Effects of the COVID‐19 pandemic on short‐term postoperative outcomes of emergency surgery for gastroduodenal perforation: A nationwide study in Japan based on the National Clinical Database.

5. Impact of the COVID‐19 pandemic on short‐term outcomes after pancreaticoduodenectomy for pancreatic cancer: A retrospective study from the Japanese National Clinical Database, 2018–2021.

6. Impact of the COVID‐19 pandemic on the number and short‐term outcomes in hepatectomy for hepatocellular carcinoma: Results from the Japanese National Clinical Database, 2018–2021.

7. Investigation of the impact of COVID‐19 on postoperative outcomes using a nationwide Japanese database of patients undergoing laparoscopic distal gastrectomy and low anterior resection for gastric cancer and rectal cancer.

8. Effects of the COVID‐19 pandemic on short‐term postoperative outcomes for colorectal perforation: A nationwide study in Japan based on the National Clinical Database.

9. Impact of COVID‐19 pandemic on short‐term outcomes after low anterior resection in patients with rectal cancer: Analysis of data from the Japanese National Clinical Database.

10. The impact of COVID‐19 for postoperative outcomes using a nationwide Japanese database of patients undergoing distal gastrectomy for gastric cancer.

11. The clinical impact of COVID‐19 on endoscopic surgery in Japan: Analysis of data from the National Clinical Database.

12. Effects of the COVID‐19 pandemic on gastroenterological surgeries in 2020: A study using the National Clinical Database of Japan.

13. Predict models for prolonged ICU stay using APACHE II, APACHE III and SAPS II scores: A Japanese multicenter retrospective cohort study.

14. Conventional risk prediction models fail to accurately predict mortality risk among patients with coronavirus disease 2019 in intensive care units: a difficult time to assess clinical severity and quality of care.

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