Evidence map›Paper›PMID 25760025›Full record

ReviewBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2015

Chronic kidney disease in disadvantaged populations.

G Garcia-Garcia, V Jha, World Kidney Day Steering Committee*

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  6. Observational
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  8. Coding Variants of theReports of biochemistry & molecular biology · 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

3 authors.

G Garcia-GarciaNephrology Service, Hospital Civil de Guadalajara, University of Guadalajara Health Sciences Center, Guadalajara, Mexico.
V JhaPostgraduate Institute of Medical Education and Research, Chandigarh, India.
World Kidney Day Steering Committee*

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increased burden of chronic kidney disease (CKD) in disadvantaged populations is due to both global factors and population-specific issues. Low socioeconomic status and poor access to care contribute to health care disparities and exacerbate the negative effects of genetic or biological predisposition. Provision of appropriate renal care to these populations requires a two-pronged approach: expanding the reach of dialysis through development of low-cost alternatives that can be practiced in remote locations, and implementation and evaluation of cost-effective prevention strategies. Kidney transplantation should be promoted by expansion of deceased donor transplant programs and use of inexpensive, generic immunosuppressive drugs. The message of World Kidney Day 2015 is that a concerted attack against the diseases that lead to end-stage renal disease, by increasing community outreach, better education, improved economic opportunity, and access to preventive medicine for those at highest risk, could end the unacceptable relationship between CKD and disadvantage in these communities.

Indexed as

Birth WeightHealthcare DisparitiesHealth Services AccessibilityHumansIncidenceKidney TransplantationPreventive MedicineRenal Insufficiency, ChronicRenal Replacement TherapyRisk FactorsSocioeconomic FactorsVulnerable Populations

Identifiers

PMID25760025
PMCPMC4445659

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.