Evidence map›Paper›PMID 23846464›Full record

ArticleClinical journal of the American Society of Nephrology : CJASN2013

Differences in progression to ESRD between black and white patients receiving predialysis care in a universal health care system.

Tessa O van den Beukel, Moniek C M de Goeij, Friedo W Dekker, Carl E H Siegert, Nynke Halbesma, PREPARE Study Group

Abstract readMulticenter Study
In one paragraph

Article in Clinical journal of the American Society of Nephrology : CJASN, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Utility of the Kidney Failure Risk Equation and Estimated GFR for Estimating Time to Kidney Failure in Advanced CKD.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2023
    Article
  5. Article
  6. Article
  7. CKD Progression From the Time of Estimated GFR-Based Waitlist Eligibility and Racial Disparities in Transplant Access.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Article
  8. Article
  9. Preventing CKD in Developed Countries.Kidney international reports · 2020
    Review
  10. Article
  11. Burden, access, and disparities in kidney disease.Pediatric nephrology (Berlin, Germany) · 2019
    Article
  12. Burden, access, and disparities in kidney disease.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2019
    Article
  13. Burden, Access, and Disparities in Kidney Disease.Kidney international reports · 2019
    Review
  14. Burden, Access, and Disparities in Kidney Disease.Kidney diseases (Basel, Switzerland) · 2019
    Article
  15. Article
  16. Burden, Access, and Disparities in Kidney Disease.Canadian journal of kidney health and disease · 2019
    Article
  17. Observational
  18. Article
  19. Article
  20. Changes in urine volume and serum albumin in incident hemodialysis patients.Hemodialysis international. International Symposium on Home Hemodialysis · 2017
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Tessa O van den BeukelDepartment of Clinical Epidemiology, Leiden University Medical Center, The Netherlands.
Moniek C M de Goeij
Friedo W Dekker
Carl E H Siegert
Nynke Halbesma
PREPARE Study Group
Leiden University Medical Center · NLSint Lucas Andreas Hospital · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesStudies performed in the United States showed that blacks progress from CKD to ESRD faster than do whites. Possible explanations are differences in health care system factors. This study investigated whether progression is also faster in a universal health care system, where all patients receive comparable care. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: Data from the PREdialysis PAtient REcord study, a multicenter follow-up study of patients with CKD who started predialysis care in The Netherlands (1999-2011), were analyzed. Time-dependent Cox proportional hazards models were used to estimate the hazard ratio (HR) for starting renal replacement therapy (RRT), and linear mixed models were used to compare renal function decline (RFD) between blacks and whites. To explore possible mechanisms, analyses were adjusted for patient characteristics.

resultsAt initiation of predialysis care, blacks (n=49) were younger and had more diabetes mellitus, higher proteinuria levels, and a higher estimated GFR than whites (n=946). Median follow-up time in months was similar (blacks: 13.9 [boundaries of interquartile range (IQR), 5.3 to 19.5]; whites: 13.1 [IQR, 5.1 to 24.0]). For blacks compared with whites, the crude HR for starting RRT within the first 15 months was 0.86 (95% confidence interval [CI], 0.55 to 1.34) and from 15 months onward, 1.93 (95% CI, 1.02 to 3.68), which increased after adjustment. RFD was faster by 0.18 (95% CI, 0.05 to 0.32) ml/min per 1.73 m(2) per month in blacks compared with whites.

conclusionBlacks receiving predialysis care in a universal health care system have faster disease progression than whites, suggesting that health care system factors have a less influential role than had been thought in explaining black-white differences.

Indexed as

Disease ProgressionUniversal Health InsuranceAdultAgedAge FactorsBlack PeopleDiabetes MellitusFemaleFollow-Up StudiesGlomerular Filtration RateHealth Status DisparitiesHumansKidney Failure, ChronicMaleMiddle AgedNetherlands

Identifiers

PMID23846464
PMCPMC3805080
OpenAlexW2170589488

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.