Evidence map›Paper›PMID 26960447›Full record

Observational studyBMC nephrology2016

Association between insurance status and mortality in individuals with albuminuria: an observational cohort study.

Milda R Saunders, Ana Catherine Ricardo, Jinsong Chen, Marshall H Chin, James P Lash

Abstract readObservational Study
In one paragraph

Observational study in BMC nephrology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
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

5 authors.

Milda R SaundersUniversity of Chicago Medicine, 5841 S. Maryland, MC 5000, Chicago, IL, 60637, USA. msaunder@medicine.bsd.uchicago.edu.
Ana Catherine RicardoUniversity of Illinois at Chicago, 820 Wood St, MC 793, Chicago, IL, 60612, USA. aricar2@uic.edu.
Jinsong ChenUniversity of Illinois at Chicago, 820 Wood St, MC 793, Chicago, IL, 60612, USA. jinsongc@uic.edu.
Marshall H ChinUniversity of Chicago Medicine, 5841 S. Maryland, MC 2007, Chicago, IL, 60637, USA. mchin@medicine.bsd.uchicago.edu.
James P LashUniversity of Illinois at Chicago, 820 Wood St, MC 793, Chicago, IL, 60612, USA. jplash@uic.edu.

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Health Disparities in Chronic Kidney Disease Mentoring ProgramK24DK092290 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LASH, JAMES P. · 2012 to 2022
$1.9M
Research and Mentorship in Improving Diabetes CareK24DK071933 · NIDDK · UNIVERSITY OF CHICAGO · PI CHIN, MARSHALL H · 2005 to 2014
$1.6M
Gender Disparities and Vascular Function in Chronic Kidney Disease OutcomesK23DK094829 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI RICARDO, ANA CATHERINE · 2013 to 2017
$800k
Patient Referral and Education Program prior to Renal Replacement Therapy (PREP RRT) - Resubmission 01K23DK103111 · NIDDK · UNIVERSITY OF CHICAGO · PI SAUNDERS, MILDA RENNE · 2015 to 2017
$545k
NIDDK NIH HHS K23 DK094829NIDDK NIH HHS K23 DK103111NIDDK NIH HHS K24 DK071933NIDDK NIH HHS K24 DK092290NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

backgroundIn the general population, the association between uninsurance and mortality is well established. We sought to evaluate the association of health insurance status with mortality among working-age participants with albuminuria in the Third National Health and Nutrition Examination Survey, 1988-1994 (NHANES III).

methodsWe used data from non-elderly adult participants (18-64) of NHANES III (1988-1994), a nationally representative study of the US civilian, noninstitutionalized population, who provided information on insurance and who had albuminuria, defined as a urine albumin-to-creatinine ratio [UACR] ≥ 30 mg/g and their subsequent mortality to December 31, 2006. Cox proportional hazards models were used to determine associations between insurance status and all-cause mortality and cardiovascular mortality in patients with CKD while adjusting in a stepwise fashion for sociodemographic factors, co-morbidities, and co-morbidity severity/control covariates.

resultsIn our sample of individuals with albuminuria (n = 903), mean estimated glomerular filtration rate (eGFR) was 101.6 ml/min/1.73 m(2) with 4.7 % with an eGFR <60. Approximately 15 % of the sample was uninsured, 18 % had public insurance and 67 % had private insurance. Compared to individuals with private insurance, those with public insurance or no insurance were significantly more likely to be a racial or ethnic minority, to have income <200 % below the federal poverty level, to have less than high school education; and they were less likely to be married and to report good or excellent health, all p < 0.05. Being uninsured or having public insurance was associated with increased all-cause mortality in the fully adjusted model (HR 2.97 and 3.65, respectively, p < 0.05). There was no significant relationship between insurance status and cardiovascular mortality.

conclusionsIn a nationally representative sample of individuals with albuminuria, uninsurance and public insurance were associated with increased mortality compared to the private insurance even after controlling for sociodemographic, health status, and health care variables. Improving access to care and the quality of care received may potentially reduce mortality in individuals with evidence of early CKD.

Indexed as

AdolescentAdultAlbuminuriaCardiovascular DiseasesCause of DeathCohort StudiesEthnicityFemaleHealth Services AccessibilityHealth StatusHumansInsurance CoverageInsurance, HealthMaleMarital StatusMedically Uninsured

Identifiers

PMID26960447
PMCPMC4784311

What OpenQuestion holds

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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.