Literature DB >> 23198785

Assessing 30-day hospital readmission after renal transplantation: a complex task.

B Kaplan, J F Sweeney.   

Abstract

Mesh：

Year:  2012        PMID： 23198785     DOI： 10.1111/j.1600-6143.2012.04289.x

Source DB:  PubMed          Journal:  Am J Transplant        ISSN： 1600-6135            Impact factor:   8.086


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  4 in total

1.  Transplantation: Biomarkers in transplantation—the devil is in the detail.

Authors:  Michael Abecassis; Bruce Kaplan
Journal:  Nat Rev Nephrol       Date:  2015-01-27       Impact factor: 28.314

2.  Evaluation of 30-day hospital readmission after surgery for advanced-stage ovarian cancer in a medicare population.

Authors:  Ramez N Eskander; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver; Robert E Bristow
Journal:  J Clin Oncol       Date:  2014-11-10       Impact factor: 44.544

3.  Inclusion of dynamic clinical data improves the predictive performance of a 30-day readmission risk model in kidney transplantation.

Authors:  David J Taber; Arun P Palanisamy; Titte R Srinivas; Mulugeta Gebregziabher; John Odeghe; Kenneth D Chavin; Leonard E Egede; Prabhakar K Baliga
Journal:  Transplantation       Date:  2015-02       Impact factor: 4.939

4.  Assessing Predictors of Early and Late Hospital Readmission After Kidney Transplantation.

Authors:  Julien Hogan; Michael D Arenson; Sandesh M Adhikary; Kevin Li; Xingyu Zhang; Rebecca Zhang; Jeffrey N Valdez; Raymond J Lynch; Jimeng Sun; Andrew B Adams; Rachel E Patzer
Journal:  Transplant Direct       Date:  2019-07-29
  4 in total

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