Evidence map›Paper›PMID 32939392›Full record

ArticleSSM - population health2020

Neighborhood context and kidney disease in Philadelphia.

Suzanne M Boyle, Yuzhe Zhao, Edgar Chou, Kari Moore, Meera N Harhay

Open access · goldAbstract read
In one paragraph

Article in SSM - population health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 20% of its field
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, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Neighborhood Safety and Hypertension Risk: A Systematic Review.Journal of the American Heart Association · 2025
    Pooled it
  2. Global health inequalities of chronic kidney disease: a meta-analysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. 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

5 authors at 4 institutions in 1 country.

Suzanne M BoyleDepartment of Medicine, Section of Nephrology, Hypertension and Kidney Transplantation, Lewis Katz School of Medicine at Temple University, Philadelphia, PA, USA.
Yuzhe ZhaoUrban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
Edgar ChouDepartment of Internal Medicine, Thomas Jefferson University Hospital, Philadelphia, PA, USA.
Kari MooreUrban Health Collaborative, Drexel University Dornsife School of Public Health, Philadelphia, PA, USA.
Meera N HarhayDepartment of Medicine, Drexel University College of Medicine, Philadelphia, PA, USA.
Drexel University · USReading Hospital · USTemple University · USThomas Jefferson University Hospital · US

Funding

Identifying Healthy and High-Risk Weight Loss Phenotypes to Optimize Obesity Management in End Stage Kidney DiseaseR01DK124388 · NIDDK · DREXEL UNIVERSITY · PI HARHAY, MEERA NAIR · 2020 to 2024
$1.4M
Patterns and Implications of Functional Decline Among Kidney Transplant CandidatesK23DK105207 · NIDDK · DREXEL UNIVERSITY · PI HARHAY, MEERA NAIR · 2015 to 2019
$861k
NIDDK NIH HHS K23 DK105207NIDDK NIH HHS R01 DK124388
6 · The paper itself

Abstract

Neighborhood context might influence the risk of chronic kidney disease (CKD), a condition that impacts approximately 10% of the United States population and is associated with significant morbidity, mortality, and costs. We included a sample of 23,692 individuals in Philadelphia, Pennsylvania, who were seen in a large academic primary care practice between January 1, 2016 and December 31, 2017. We used generalized linear equations to estimate the associations between indicators of neighborhood context (e.g., proximity to healthy foods stores, neighborhood walkability, social capital, crime rate, socioeconomic status) and CKD, adjusted for age, sex, race/ethnicity, and insurance coverage. Among those with CKD, secondary outcomes were poor glycemic control (hemoglobin A1c ≥ 6.5%) and uncontrolled blood pressure (systolic ≥ 140 mm Hg and/or diastolic ≥ 90 mm Hg). The cohort represented residents from 97% of Philadelphia census tracts. CKD prevalence was 10%. When all neighborhood context metrics were considered collectively, only lower neighborhood socioeconomic index (a composite assessment of neighborhood income, educational attainment, and occupation) was associated with a higher risk of CKD (lowest tertile vs. highest tertile: adjusted relative risk [aRR] 1.46 [1.25, 1.69]; mid-tertile vs. highest-tertile: aRR 1.35 [1.25, 1.52]). Among those with CKD, compared to residence in the most walkable neighborhoods (i.e., where most essential resources are accessible by foot), residence in neighborhoods with mid-level WalkScore® (i.e., where only some essential neighborhood resources are accessible by foot) was independently associated with poor glycemic control (aRR 1.20, 95% CI 1.01-1.42). These findings suggest a potential role for measures of neighborhood socioeconomic status in identifying communities that would benefit from screening and treatment for CKD. Studies are also needed to determine mechanisms to explain why residence in neighborhoods not easily navigated by foot or car might hinder glycemic control among people with CKD.

Indexed as

Health disparitiesKidney diseaseSocial contextUrban health

Identifiers

PMID32939392
PMCPMC7476869
OpenAlexW3049397082

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.