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Predicting Individual Renal Allograft Outcomes Using Risk Models with 1-Year Surveillance Biopsy and Alloantibody Data
The ability to predict outcomes for individual patients would be a significant advance for not only counseling, but also identifying those for whom interventions may be needed. The goals of this study were to validate an existing risk prediction score that incorporates easily obtainable clinical fac...
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| Publicado no: | J Am Soc Nephrol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Nephrology
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5042663/ https://ncbi.nlm.nih.gov/pubmed/26961348 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1681/ASN.2015070811 |
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