ArticlePediatric nephrology (Berlin, Germany)2018
County socioeconomic characteristics and pediatric renal transplantation outcomes.
Article in Pediatric nephrology (Berlin, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The psychosocial factors influencing paediatric kidney transplantation access, their outcomes and the patient and family's perceived quality of life: a systematic review and meta-analysis.Pediatric nephrology (Berlin, Germany) · 2026Pooled it
- Assessing the Impact of Neighborhood and Built Environment on Pediatric Perioperative Care: A Systematic Review of the Literature.Journal of pediatric surgery · 2024Pooled it
- Beyond biological risk: socioeconomic vulnerability and adverse pediatric kidney transplant outcomes.Pediatric nephrology (Berlin, Germany) · 2026Article
- Comparing Community-Level Social Determinants of Health With Patient Race in Total Hip Arthroplasty Outcomes.Arthritis care & research · 2025Article
- Predictors of academic delay post-pediatric kidney transplant in the USA.Pediatric nephrology (Berlin, Germany) · 2024Article
- The unfinished journey toward transplant equity: an analysis of racial/ethnic disparities for children after the implementation of the Kidney Allocation System in 2014.Pediatric nephrology (Berlin, Germany) · 2023Article
- Are Income-based Differences in TKA Use and Outcomes Reduced in a Single-payer System? A Large-database Comparison of the United States and Canada.Clinical orthopaedics and related research · 2022Article
- Paediatric kidney transplantation in under-resourced regions-a panoramic view.Pediatric nephrology (Berlin, Germany) · 2022Review
- Policy in pediatric nephrology: successes, failures, and the impact on disparities.Pediatric nephrology (Berlin, Germany) · 2021Review
- County Rankings Have Limited Utility When Predicting Liver Transplant Outcomes.Digestive diseases and sciences · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundExisting risk adjustment models for solid organ transplantation omit socioeconomic status (SES). With limited data available on transplant candidates' SES, linkage of transplant outcomes data to geographic SES measures has been proposed. We investigate the utility of county SES for understanding differences in pediatric kidney transplantation (KTx) outcomes.
methodsWe identified patients < 18 years of age receiving first-time KTx using United Network for Organ Sharing registry data in two eras: 2006-2010 and 2011-2015, corresponding to periods of county SES data collection. In each era, counties were ranked by 1-year rates of survival with intact graft, and by county SES score. We used Spearman correlation (ρ) to evaluate the association between county rankings on SES and transplant outcomes in each era and consistency between these measures across eras. We also evaluated the utility of county SES for improving prediction of individual KTx outcomes.
resultsThe analysis included 2972 children and 108 counties. County SES and transplant outcomes were not correlated in either 2006-2010 (ρ = 0.06; p = 0.525) or 2011-2015 (ρ = 0.162, p = 0.093). County SES rankings were strongly correlated between eras (ρ = 0.99, p < 0.001), whereas county rankings of transplant outcomes were not correlated between eras (ρ = 0.16, p = 0.097). Including county SES quintile in individual-level models of transplant outcomes did not improve model predictive utility.
conclusionsPediatric kidney transplant outcomes are unstable from period to period at the county level and are not correlated with county-level SES. Appropriate adjustment for SES disparities in transplant outcomes could require further collection of detailed individual SES data.
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