Evidence map›Paper›PMID 25884165›Full record

ArticleBMC nephrology2015

Apolipoprotein L1, income and early kidney damage.

Ruth Tamrat, Carmen A Peralta, Salman M Tajuddin, Michele K Evans, Alan B Zonderman, Deidra C Crews

Abstract readComparative Study
In one paragraph

Article in BMC nephrology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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

10 citing papers in PubMed.

  1. Article
  2. Novel Therapies inKidney international reports · 2023
    Review
  3. Article
  4. Genetics and ESKD Disparities in African Americans.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Review
  5. APOL1 Genetic Testing in Living Kidney Transplant Donors.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2019
    Review
  6. Kidney international reports · 2019
    Article
  7. Social Determinants of CKD Hotspots.Seminars in nephrology · 2019
    Review
  8. Review
  9. Review
  10. 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.

Ruth TamratDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. rtamrat1@jhmi.edu.
Carmen A PeraltaDepartment of Medicine, University of California, San Francisco, CA, USA. carmenalicia.peralta@ucsf.edu.
Salman M TajuddinLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. salman.tajuddin@nih.gov.
Michele K EvansLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. evansm@grc.nia.nih.gov.
Alan B ZondermanLaboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA. zondermana@mail.nih.gov.
Deidra C CrewsDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA. dcrews1@jhmi.edu.

Funding

Healthy Aging In Neighborhoods of Diversity Across the Life Span (HANDLS)ZIAAG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$70.9M
The Underlying Biology of Health DisparitiesZIAAG000519 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$15.7M
Race, Socioeconomic Status, Diet and Chronic Kidney DiseaseK23DK097184 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CREWS, DEIDRA CANDICE · 2013 to 2016
$684k
Intramural NIH HHSNIDDK NIH HHS K23 DK097184NIDDK NIH HHS K23DK097184
6 · The paper itself

Abstract

backgroundThe degree to which genetic or environmental factors are associated with early kidney damage among African Americans (AAs) is unknown.

methodsAmong 462 AAs in the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study, we examined the cross-sectional association between apolipoprotein L1 (APOL1) risk variants and income with: 1) mildly reduced eGFR (<75 mL/min/1.73 m(2), creatinine-cystatin C equation) and 2) elevated urine albumin-to-creatinine ratio (ACR) (≥17 in men and ≥25 mg/g in women). High risk APOL1 status was defined by 2 copies of high-risk variants; low risk if 0 or 1 copy. Income groups were dichotomized as < $14,000/year (lowest income group) or ≥ $14,000/year. Logistic regression models were adjusted for age, sex, and % European ancestry.

resultsOverall, participants' mean age was 47 years and 16% (n = 73) had high risk APOL1 status. Mean eGFR was 99 mL/min/1.73 m(2). Mildly reduced eGFR was prevalent among 11% (n = 51). The lowest income group had higher adjusted odds (aOR) of mildly reduced eGFR than the higher income group (aOR 1.8, 95% CI 1.2-2.7). High-risk APOL1 was not significantly associated with reduced eGFR (aOR 1.5, 95% CI 0.9-2.5). Among 301 participants with ACR data, 7% (n = 21) had elevated ACR. Compared to low-risk, persons with high-risk APOL1 had higher odds of elevated ACR (aOR 3.8, 95% CI 2.0-7.3). Income was not significantly associated with elevated ACR (aOR 1.8, 95% CI 0.7-4.5). There were no significant interactions between APOL1 and income.

conclusionsBoth genetic and socioeconomic factors may be important determinants of early kidney damage among AAs.

Indexed as

AgedAge FactorsAgingAlbuminuriaApolipoprotein A-IBlack or African AmericanCreatinineCross-Sectional StudiesDatabases, FactualEnvironmentFemaleGenetic Predisposition to DiseaseGeriatric AssessmentGlomerular Filtration RateHumansIncomeApolipoprotein A-ICreatinine

Identifiers

PMID25884165
PMCPMC4361142

What OpenQuestion holds

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Registered trials

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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.