Evidence map›Paper›PMID 29464207›Full record

ArticleTransplantation direct2018

Socioeconomic Inequalities in the Kidney Transplantation Process: A Registry-Based Study in Sweden.

Ye Zhang, Ulf-G Gerdtham, Helena Rydell, Johan Jarl

Abstract read
In one paragraph

Article in Transplantation direct, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
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

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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

12 citing papers in PubMed.

  1. Article
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  6. Article
  7. Kidneys for Sale: Are We There Yet? (Commentary on Kidneys for Sale: Empirical Evidence From Iran).Transplant international : official journal of the European Society for Organ Transplantation · 2022
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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

4 authors.

Ye ZhangHealth Economics Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.
Ulf-G GerdthamHealth Economics Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.
Helena RydellDepartment of Nephrology Skåne University Hospital, Lund University, Lund, Sweden.
Johan JarlHealth Economics Unit, Department of Clinical Sciences, Lund University, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew studies have examined the association between individual-level socioeconomic status and access to kidney transplantation. This study aims to investigate the association between predialysis income and education, and access to (i) the kidney waitlist (first listing), and (ii) kidney transplantation conditional on waitlist placement. Adjustment will be made for a number of medical and nonmedical factors.

methodsThe Swedish Renal Register was linked to national registers for adult patients in Sweden who started dialysis during 1995 to 2013. We employed Cox proportional hazards models.

resultsNineteen per cent of patients were placed on the waitlist. Once on the waitlist, 80% received kidney transplantation. After adjusting for covariates, patients in the highest income quintile were found to have higher access to both the waitlist (hazard ratio [HR], 1.73; 95% confidence interval [CI], 1.53-1.96) and kidney transplantation (HR, 1.33; 95% CI, 1.16-1.53) compared with patients in the lowest income quintile. Patients with higher education also had better access to the waitlist and kidney transplantation (HR, 2.16; 95% CI, 1.94-2.40; and HR, 1.16; 95% CI, 1.03-1.30, respectively) compared with patients with mandatory education.

conclusionsSocioeconomic status-related inequalities exist with regard to both access to the waitlist, and kidney transplantation conditional on listing. However, the former inequality is substantially larger and is therefore expected to contribute more to societal inequalities. Further studies are needed to explore the potential mechanisms and strategies to reduce these inequalities.

Identifiers

PMID29464207
PMCPMC5811275

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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.