Evidence map›Paper›PMID 30897121›Full record

ArticlePloS one2019

Associations between access to healthcare, environmental quality, and end-stage renal disease survival time: Proportional-hazards models of over 1,000,000 people over 14 years.

Marissa B Kosnik, David M Reif, Danelle T Lobdell, Thomas Astell-Burt, Xiaoqi Feng, John D Hader, Jane A Hoppin

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
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

7 authors.

Marissa B KosnikToxicology Program, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0002-2609-5816
David M ReifToxicology Program, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.
Danelle T LobdellNational Health and Environmental Effects Research Lab, U.S. EPA, Chapel Hill, North Carolina, United States of America.
Thomas Astell-BurtPopulation Wellbeing and Environment Research Lab, School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia.
Xiaoqi FengPopulation Wellbeing and Environment Research Lab, School of Health and Society, Faculty of Social Sciences, University of Wollongong, Wollongong, New South Wales, Australia.
John D HaderICF, Fairfax, Virginia, United States of America.
Jane A HoppinToxicology Program, Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, United States of America.ORCID 0000-0001-8456-0969

Funding

Translational Research Support CoreP30ES025128 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Sue Fenton · 2015 to 2026
$18.3M
TRAINING IN BIOCHEMICAL AND ENVIRONMENTAL TOXICOLOGYT32ES007046 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI Seth William Kullman · 1985 to 2026
$5.1M
NIEHS NIH HHS P30 ES025128NIEHS NIH HHS T32 ES007046
6 · The paper itself

Abstract

Prevalence of end-stage renal disease (ESRD) in the US increased by 74% from 2000 to 2013. To investigate the role of the broader environment on ESRD survival time, we evaluated average distance to the nearest hospital by county (as a surrogate for access to healthcare) and the Environmental Quality Index (EQI), an aggregate measure of ambient environmental quality composed of five domains (air, water, land, built, and sociodemographic), at the county level across the US. Associations between average hospital distance, EQI, and survival time for 1,092,281 people diagnosed with ESRD between 2000 and 2013 (age 18+, without changes in county residence) from the US Renal Data System were evaluated using proportional-hazards models adjusting for gender, race, age at first ESRD service date, BMI, alcohol and tobacco use, and rurality. The models compared the average distance to the nearest hospital (<10, 10-20, >20 miles) and overall EQI percentiles [0-5), [5-20), [20-40), [40-60), [60-80), [80-95), and [95-100], where lower percentiles are interpreted as better EQI. In the full, non-stratified model with both distance and EQI, there was increased survival for patients over 20 miles from a hospital compared to those under 10 miles from a hospital (hazard ratio = 1.14, 95% confidence interval = 1.12-1.15) and no consistent direction of association across EQI strata. In the full model stratified by average hospital distance, under 10 miles from a hospital had increased survival in the worst EQI strata (median survival 3.0 vs. 3.5 years for best vs. worst EQI, respectively), however for people over 20 miles from a hospital, median survival was higher in the best (4.2 years) vs worst (3.4 years) EQI. This association held across different rural/urban categories and age groups. These results demonstrate the importance of considering multiple factors when studying ESRD survival and future efforts should consider additional components of the broader environment.

Indexed as

AdolescentAdultAgedAir PollutionFemaleHealth Services AccessibilityHumansKidney Failure, ChronicMaleMiddle AgedPrevalenceProportional Hazards ModelsRisk FactorsSocioeconomic FactorsUnited StatesWater Quality

Identifiers

PMID30897121
PMCPMC6428249

What OpenQuestion holds

Textmetadata
LicenceCC0
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.