ArticleAmerican heart journal2017
A unique linkage of administrative and clinical registry databases to expand analytic possibilities in pediatric heart transplantation research.
Article in American heart journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
17 citing papers in PubMed, 33 citations in OpenAlex.
- Linkage of the CF Foundation Patient Registry with the Scientific Registry of Transplant Recipients database.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2025Article
- A cohort of patients in New York State with an alcohol use disorder and subsequent treatment information - A merging of two administrative data sources.Journal of biomedical informatics · 2023Article
- Comparison of Administrative Database-Derived and Hospital-Derived Data for Monitoring Blood Culture Use in the Pediatric Intensive Care Unit.Journal of the Pediatric Infectious Diseases Society · 2023Article
- Center Variation in Indication and Short-Term Outcomes after Pediatric Heart Transplantation: Analysis of a Merged United Network for Organ Sharing - Pediatric Health Information System Cohort.Pediatric cardiology · 2022Article
- Rehospitalization Following Pediatric Heart Transplantation: Incidence, Indications, and Risk Factors.Pediatric cardiology · 2020Article
- Heart Transplantation in Children with Mitochondrial Disease.The Journal of pediatrics · 2020Article
- Leveraging big data to advance knowledge in pediatric heart failure and heart transplantation.Translational pediatrics · 2019Article
- Extracorporeal membrane oxygenation use in the first 24 hours following pediatric heart transplantation: Incidence, risk factors, and outcomes.Pediatric transplantation · 2019Article
- Expanding analytic possibilities in pediatric solid organ transplantation through linkage of administrative and clinical registry databases.Pediatric transplantation · 2019Article
- Characteristics and Outcomes of Heart Transplantation in DiGeorge Syndrome.Pediatric cardiology · 2019Article
- Practice Variation, Costs and Outcomes Associated with the Use of Inhaled Nitric Oxide in Pediatric Heart Transplant Recipients.Pediatric cardiology · 2019Article
- Increased mortality, morbidities, and costs after heart transplantation in heterotaxy syndrome and other complex situs arrangements.The Journal of thoracic and cardiovascular surgery · 2019Article
- Center Variation in Hospital Costs for Pediatric Heart Transplantation: The Relationship Between Cost and Outcomes.Pediatric cardiology · 2019Article
- Changes in Pediatric Heart Transplant Hospitalization Costs Over Time.Transplantation · 2018Article
- Successful merging of data from the United Network for Organ Sharing and the Pediatric Health Information System databases.Pediatric transplantation · 2018Article
- Mechanical circulatory support costs in children bridged to heart transplantation - analysis of a linked database.American heart journal · 2018Article
- Heart Transplantation in Children with Turner Syndrome: Analysis of a Linked Dataset.Pediatric cardiology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundLarge clinical, research, and administrative databases are increasingly utilized to facilitate pediatric heart transplant (HTx) research. Linking databases has proven to be a robust strategy across multiple disciplines to expand the possible analyses that can be performed while leveraging the strengths of each dataset. We describe a unique linkage of the Scientific Registry of Transplant Recipients (SRTR) database and the Pediatric Health Information System (PHIS) administrative database to provide a platform to assess resource utilization in pediatric HTx.
methodsAll pediatric patients (1999-2016) who underwent HTx at a hospital enrolled in the PHIS database were identified. A linkage was performed between the SRTR and PHIS databases in a stepwise approach using indirect identifiers. To determine the feasibility of using these linked data to assess resource utilization, total and post-HTx hospital costs were assessed.
resultsA total of 3188 unique transplants were identified as being present in both databases and amenable to linkage. Linkage of SRTR and PHIS data was successful in 3057 (95.9%) patients, of whom 2896 (90.8%) had complete cost data. Median total and post-HTx hospital costs were $518,906 (IQR $324,199-$889,738), and $334,490 (IQR $235,506-$498,803) respectively with significant differences based on patient demographics and clinical characteristics at HTx.
conclusionsLinkage of the SRTR and PHIS databases is feasible and provides an invaluable tool to assess resource utilization. Our analysis provides contemporary cost data for pediatric HTx from the largest US sample reported to date. It also provides a platform for expanded analyses in the pediatric HTx population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.