Cited by 4Renal Transplantation Outcomes and TreatmentsOrgan Donation and TransplantationArtificial Intelligence in Healthcare and Education

Use of Personalized Medicine in the Selection of Patients for Renal Transplantation: Views of Quebec Transplant Physicians and Referring Nephrologists

Abstract

AIM: To explore the views of physicians on the use of personalized medicine tools to develop a new method for selecting potential recipients of a renal allograft. METHODS: A total of 22 semidirected interviews, using clinical case studies. RESULTS: According to the participants, this method has several possible applications within renal transplantation (individualizing immunosuppressive therapy, help with decision making, and possibly with the selection of patients). It could be more effective than the method presently used. The method must be validated scientifically, and must also involve clinical judgment. CONCLUSION: The use of personalized medicine within transplantation must be in the best interests of the patient. An ethical reflection is necessary in order to focus on the possibility of patients being excluded, as well as on the resolution of the equity/efficacy dilemma. Empirical research has shown itself to be essential for ascertaining the views of the clinicians who will be working with the tools provided by personalized medicine.

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Authors
Dion-Labrie, M., Fortin, M.-C., Hébert, M.-J., & Doucet, H.
Affiliations
  • Université de Montréal (CA)
  • Hôpital Notre-Dame (CA)
Venue
Personalized Medicine
Published
2009-09
Volume
6
Issue
5
Pages
485-499
ISSN
  • 1741-0541 (ISSN-L)
  • 1744-828X
OpenAlex
W2004738774
Cited by
4
References
1
Citations by year
2024: 1 · 2021: 1 · 2020: 1 · 2019: 1
FWCI
0.00
Type
journal article
Language
en
Open access
closed
Locations
  • Personalized Medicine (publishedVersion)
  • PubMed (publishedVersion)
Funders
the Fonds de la recherche en santé du Québec
Topics
  • Health Sciences › Medicine › Transplantation › Renal Transplantation Outcomes and Treatments
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Organ Donation and Transplantation
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
Keywords
kidney transplantation, patient selection, clinical decision-making, Quebec

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