ArticleAmerican journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons2018
Expanding transplant outcomes research opportunities through the use of a common data model.
Article in American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2).Critical care medicine · 2026Article
- Development of a natural language processing algorithm to extract social determinants of health from clinician notes.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- Generalizability of kidney transplant data in electronic health records - The Epic Cosmos database vs the Scientific Registry of Transplant Recipients.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- Development of Common Data Elements for Organ Transplantation.JAMA network open · 2025Article
- A Choir Without Harmony Is Just Noise: Accepting the Challenge of Data Harmonization in Transplantation.Transplantation · 2024Article
- Knowledge and Attitudes of Students of the Federation of Bosnia and Herzegovina on Organ Donation and Transplantation - Challenges of Education and Promotion.Materia socio-medica · 2024Article
- It's All Relative: Donor-Recipient Relationships, Disease Heritability, and Kidney Transplant Outcomes.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023Article
- Predicting Kidney Transplant Recipient Cohorts' 30-Day Rehospitalization Using Clinical Notes and Electronic Health Care Record Data.Kidney international reports · 2023Article
- Knowledge and attitude about organ donation and transplantation among Omani university students.Frontiers in public health · 2023Article
- Co-establishing an infrastructure for routine data collection to address disparities in infant mortality: planning and implementation.BMC health services research · 2022Article
- Development of Phenotyping Algorithms for the Identification of Organ Transplant Recipients: Cohort Study.JMIR medical informatics · 2020Article
- Content Coverage Evaluation of the OMOP Vocabulary on the Transplant Domain Focusing on Concepts Relevant for Kidney Transplant Outcomes Analysis.Applied clinical informatics · 2020Article
- Relative Risk of Cervical Neoplasms Among Copper and Levonorgestrel-Releasing Intrauterine System Users.Obstetrics and gynecology · 2020Observational
- Patients prioritize waitlist over posttransplant outcomes when evaluating kidney transplant centers.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The volume of solid organ transplant in the United States is increasing, providing improved quality of life and survival for patients with organ failure. The growth of transplant requires a systematized management of transplant outcomes assessment, especially with the movement toward value-based care. However, there are several challenges to analyzing outcomes in the current registry-based, transplant reporting system: (1) longitudinal data points are difficult to capture in outcomes models; (2) data elements are restricted to those that already exist in the registry data; and (3) there is a delay in the release of outcomes report. In this article, we propose an informatics approach to solve these problems by using a "common data model" to integrate disparate data sources, data elements, and temporal data points. Adopting such a framework can enable multicenter outcomes analyses among transplant centers, nationally and internationally.
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