Shigeichi Kobayashi

"Shigeichi Kobayashi"
Mean distance: 17.82 (cluster 32)
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Murakawa M, Yamamoto N, Kamioka Y, et al. (2020) Clinical Implication of Pre-operative C-reactive Protein-Albumin Ratio as a Prognostic Factor of Patients With Pancreatic Ductal Adenocarcinoma: A Single-institutional Retrospective Study. In Vivo (Athens, Greece). 34: 347-353
Fujii R, Yamada H, Yamazaki M, et al. (2019) Circulating microRNAs (miR-126, miR-197, and miR-223) are associated with chronic kidney disease among elderly survivors of the Great East Japan Earthquake. Bmc Nephrology. 20: 474
Yamagishi M, Hori M, Fujikawa D, et al. (2019) Targeting Excessive EZH1 and EZH2 Activities for Abnormal Histone Methylation and Transcription Network in Malignant Lymphomas. Cell Reports. 29: 2321-2337.e7
Sano D, Tanabe T, Kubota A, et al. (2019) Addition of S-1 to radiotherapy for treatment of T2N0 glottic cancer: Results of the multiple-center retrospective cohort study in Japan with a propensity score analysis. Oral Oncology. 99: 104454
Yaginuma K, Watanabe M, Saito Y, et al. (2019) Pneumorrhachis in children: A report of two cases and review of the literature. Radiology Case Reports. 14: 1325-1329
Tsutsui H, Isobe M, Ito H, et al. (2019) JCS 2017/JHFS 2017 Guideline on Diagnosis and Treatment of Acute and Chronic Heart Failure - Digest Version. Circulation Journal : Official Journal of the Japanese Circulation Society
Kobayashi S, Kume N, Yoshihara H. (2019) Designing Archetype Models for Each Step of Workflow in Medication. Studies in Health Technology and Informatics. 264: 1702-1703
Kume N, Suzuki K, Kobayashi S, et al. (2019) Original Laboratory Test Code Mapping System Using Test Result Data on Electronic Health Record. Studies in Health Technology and Informatics. 264: 1518-1519
Poba-Nzaou P, Kume N, Kobayashi S. (2019) Governance and Sustainability of an Open Source Electronic Health Record: An Interpretive Case Study of OpenDolphin in Japan. Studies in Health Technology and Informatics. 264: 739-743
Kobayashi S, Yamada M, Takamaru H, et al. (2019) Diagnostic yield of the Japan NBI Expert Team (JNET) classification for endoscopic diagnosis of superficial colorectal neoplasms in a large-scale clinical practice database. United European Gastroenterology Journal. 7: 914-923
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