ArticleAmerican journal of public health2014
Survival on dialysis among American Indians and Alaska Natives with diabetes in the United States, 1995-2010.
Article in American journal of public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.
- Inequalities and outcomes: end stage kidney disease in ethnic minorities.BMC nephrology · 2019Pooled it
- When systems fall apart: the performance of the nursing station model in communities with populations over 2,500 peoples.International journal of circumpolar health · 2026Article
- End-of Life Care Disparities Experienced by American Indian and Alaska Natives Peoples: An Analysis of Data from the 2019 Medicare Master Beneficiary Summary File.Journal of palliative medicine · 2025Article
- How systemic racism results in poorer outcomes for First Nations, and what First Nations are doing about it: the example of kidney health.BMC health services research · 2025Article
- Research progress on multiple cell death pathways of podocytes in diabetic kidney disease.Molecular medicine (Cambridge, Mass.) · 2023Review
- Epidemiology of haemodialysis outcomes.Nature reviews. Nephrology · 2022Review
- Patient and allograft outcomes after kidney transplant for the Indigenous patients in the United States.PloS one · 2021Article
- The National Institute on Aging Health Disparities Research Framework.Ethnicity & disease · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe assessed survival in American Indians and Alaska Natives (AI/ANs) with end-stage renal disease attributed to diabetes who initiated hemodialysis between 1995 and 2009.
methodsFollow-up extended from the first date of dialysis in the United States Renal Data System until December 31, 2010, kidney transplantation, or death. We used the Kaplan-Meier method to compute survival on dialysis by age and race/ethnicity and Cox regression analysis to compute adjusted hazard ratios (HRs).
resultsOur study included 510,666 persons-48% Whites, 2% AI/AN persons, and 50% others. Median follow-up was 2.2 years (interquartile range = 1.1-4.1 years). At any age, AI/AN persons survived longer on hemodialysis than Whites; this finding persisted after adjusting for baseline differences. Among AI/AN individuals, those with full Indian blood ancestry had the lowest adjusted risk of death compared with Whites (HR = 0.58; 95% confidence interval = 0.55, 0.61). The risk increased with declining proportion of AI/AN ancestry.
conclusionsSurvival on dialysis was better among AI/AN than White persons with diabetes. Among AI/AN persons, the inverse relationship between risk of death and level of AI/AN ancestry suggested that cultural or hereditary factors played a role in survival.
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.