Evidence map›Paper›PMID 25713703›Full record

ArticleClinical kidney journal2015

Chronic kidney disease (CKD) in disadvantaged populations.

Guillermo Garcia-Garcia, Vivekanand Jha, Philip Kam Tao Li, Guillermo Garcia-Garcia, William G Couser, Timur Erk, Elena Zakharova, Luca Segantini, Paul Shay, Miguel C Riella and 3 more

Abstract read
In one paragraph

Article in Clinical kidney journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
–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

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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. ABCDE to identify and prevent chronic kidney disease: a call to action.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Inequities in kidney health and kidney care.Nature reviews. Nephrology · 2023
    Review
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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

13 authors.

Guillermo Garcia-GarciaNephrology Service , Hospital Civil de Guadalajara, University of Guadalajara Health Sciences Center , Guadalajara, Jalisco , Mexico.
Vivekanand JhaInstitute of Medical Education and Research , Chandigarh , India ; George Institute for Global Health , New Delhi , India ; University of Oxford , Oxford , UK.
Philip Kam Tao Li
Guillermo Garcia-Garcia
William G Couser
Timur Erk
Elena Zakharova
Luca Segantini
Paul Shay
Miguel C Riella
Charlotte Osafo
Sophie Dupuis
Charles Kernahan

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twelve March 2015 will mark the 10th anniversary of World Kidney Day (WKD), an initiative of the International Society of Nephrology and the International Federation of Kidney Foundations. Since its inception in 2006, WKD has become the most successful effort ever mounted to raise awareness among decision-makers and the general public about the importance of kidney disease. Each year WKD reminds us that kidney disease is common, harmful and treatable. The focus of WKD 2015 is on chronic kidney disease (CKD) in disadvantaged populations. This article reviews the key links between poverty and CKD and the consequent implications for the prevention of kidney disease and the care of kidney patients in these populations.

Indexed as

chronic kidney diseaseepidemiologyethnicityinequalitysocioeconomic deprivation

Identifiers

PMID25713703
PMCPMC4310427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.