← brief for 2026-09-28 · Transplant & xeno

Prediction models for infection after kidney transplantation: a systematic review

Key takeaways

This review looks at tools that predict infections after a transplant. It summarizes different models used by doctors. There is no abstract, so we do not have the study results yet.

Who did this work

Zhao X (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Zhang Y (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Tang H (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Long J (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Dong H (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Kuang G (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,) · Song J (Department of Organ Transplantation, Changde Hospital, Xiangya School of Medicine, Central South University (The First people’s Hospital of Changde City), Changde , ,)

Source

Paper · Europe PMC, CKD · 2026-09-25
https://europepmc.org/article/PMC/PMC13600904