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Prediction models for the recipients' ideal perioperative estimated glomerular filtration rates for predicting graft survival after adult living-donor kidney transplantation.
Hiramitsu, Takahisa; Hasegawa, Yuki; Futamura, Kenta; Okada, Manabu; Matsuoka, Yutaka; Goto, Norihiko; Ichimori, Toshihiro; Narumi, Shunji; Takeda, Asami; Kobayashi, Takaaki; Uchida, Kazuharu; Watarai, Yoshihiko.
Afiliação
  • Hiramitsu T; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Hasegawa Y; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Futamura K; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Okada M; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Matsuoka Y; Department of Renal Transplant Surgery, Masuko Memorial Hospital, Nagoya, Japan.
  • Goto N; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Ichimori T; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Narumi S; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Takeda A; Department of Nephrology, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
  • Kobayashi T; Department of Renal Transplant Surgery, Aichi Medical University School of Medicine, Nagakute, Japan.
  • Uchida K; Department of Renal Transplant Surgery, Masuko Memorial Hospital, Nagoya, Japan.
  • Watarai Y; Department of Transplant and Endocrine Surgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Nagoya, Japan.
Front Med (Lausanne) ; 10: 1187777, 2023.
Article em En | MEDLINE | ID: mdl-37720509
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Med (Lausanne) Ano de publicação: 2023 Tipo de documento: Article