Evidence map›Paper›PMID 35085688›Full record

Observational studyAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2022

The Relationship Between Neighborhood Disadvantage and Kidney Disease Progression in the Chronic Kidney Disease in Children (CKiD) Cohort.

Sara A Boynton, Matthew B Matheson, Derek K Ng, Guillermo Hidalgo, Bradley A Warady, Susan L Furth, Meredith A Atkinson

Registry-linked trialOpen access · greenAbstract readObservational Study
In one paragraph

Observational study in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00327860 (Chronic Kidney Disease in Children Prospective Cohort Study), which is not on this map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 4% 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.

NCT00327860 recruitingnot on this map

Chronic Kidney Disease in Children Prospective Cohort Study (CKiD)

TypeobservationalSponsorJohns Hopkins Bloomberg School of Public HealthRan2003 to 2028Enrolled1,300ConditionsChronic Kidney Disease
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Food Assistance to Financially Insecure Children and Adolescents With Chronic Kidney Disease: Impact on Disease Progression.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2026
    Article
  4. Article
  5. Impact of adverse childhood experiences on kidney health.Pediatric nephrology (Berlin, Germany) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. The impact of rural status on pediatric chronic kidney disease.Pediatric nephrology (Berlin, Germany) · 2024
    Article
  14. Care processes and outcomes of deprivation across the clinical course of kidney disease: findings from a high-income country with universal healthcare.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2023
    Article
  15. 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

7 authors at 5 institutions in 1 country.

Sara A BoyntonDivision of Pediatric Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: sboynto3@jhmi.edu.
Matthew B MathesonDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Derek K NgDepartment of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.
Guillermo HidalgoDivision of Pediatric Nephrology, Hackensack Meridian Health School of Medicine, Neptune, New Jersey.
Bradley A WaradyDivision of Pediatric Nephrology, Children's Mercy Kansas City, Kansas City, Missouri.
Susan L FurthDivision of Nephrology, Children's Hospital of Philadelphia, Philadelphia; Department of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania.
Meredith A AtkinsonDivision of Pediatric Nephrology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins Medicine · USJohns Hopkins University · USChildren's Mercy Hospital · USHackensack Meridian Health · USUniversity of Pennsylvania · US

Funding

Chronic Kidney Disease in Children Study (C-Kid)U01DK066174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SUSAN L. FURTH · 2003 to 2026
$25.1M
CKiD Cardiovascular Testing Travel SupplementU01DK066143 · NIDDK · CHILDREN'S MERCY HOSP (KANSAS CITY, MO) · PI Bradley Alan Warady · 2003 to 2026
$24.2M
The Kidney Disease in Children Data Management and Analysis Center (KIDMAC)U24DK066116 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Derek K Ng · 2018 to 2026
$12.6M
Central Biochemistry Laboratory of the CKID ConsortiumU24DK082194 · NIDDK · UNIVERSITY OF ROCHESTER · PI SCHWARTZ, GEORGE J · 2018 to 2022
$1.7M
NIDDK NIH HHS U01 DK066143NIDDK NIH HHS U01 DK066174NIDDK NIH HHS U24 DK066116NIDDK NIH HHS U24 DK082194
6 · The paper itself

Abstract

RATIONALE &

objectiveTo examine the relationship between neighborhood poverty and deprivation, chronic kidney disease (CKD) comorbidities, and disease progression in children with CKD. STUDY

designObservational cohort study. SETTING &

participantsChildren with mild to moderate CKD enrolled in the CKiD (Chronic Kidney Disease in Children) study with available US Census data. EXPOSURE: Neighborhood poverty and neighborhood disadvantage. OUTCOME: Binary outcomes of short stature, obesity, hypertension, and health care utilization for cross-sectional analysis; a CKD progression end point (incident kidney replacement therapy [KRT] or 50% loss in estimated glomerular filtration rate), and mode of first KRT for time-to-event analysis. ANALYTICAL APPROACH: Cross-sectional analysis of health characteristics at time of first Census data collection using logistic regression to estimate odds ratios. Risk for CKD progression was analyzed using a Cox proportional hazard model. Multivariable models were adjusted for race, ethnicity, sex, and family income.

resultsThere was strong agreement between family and neighborhood socioeconomic characteristics. Risk for short stature, hospitalization, and emergency department (ED) use were significantly associated with lower neighborhood income. After controlling for race, ethnicity, sex, and family income, the odds of hospitalization (OR, 1.71 [95% CI, 1.08-2.71]) and ED use (OR, 1.56 [95% CI, 1.02-2.40]) remained higher for those with lower neighborhood income. The hazard ratio of reaching the CKD progression outcome for participants living in lower income neighborhoods was significantly increased in the unadjusted model only (1.38 [95% CI, 1.02-1.87]). Likelihood of undergoing a preemptive transplant was decreased with lower neighborhood income (OR, 0.47 [95% CI, 0.24-0.96]) and higher neighborhood deprivation (OR, 0.31 [95% CI, 0.10-0.97]), but these associations did not persist after controlling for participant characteristics. LIMITATIONS: Limited generalizability, as only those with consistent longitudinal nephrology care were studied.

conclusionsNeighborhood-level socioeconomic status (SES) was associated with poorer health characteristics and CKD progression in univariable analysis. However, the relationships were attenuated after accounting for participant-level factors including race. A persistent association of neighborhood poverty with hospitalizations and ED suggests an independent effect of SES on health care utilization, the causes for which deserve additional study.

Indexed as

Neighborhood CharacteristicsRenal Insufficiency, ChronicChildCohort StudiesCross-Sectional StudiesDisease ProgressionHumansKidneyChronic kidney disease (CKD)deprivationdisease progressionhealth care utilizationhospitalizationincomeneighborhoodpediatric CKDpovertyracial disparitiessocioeconomic status (SES)

Identifiers

PMID35085688
PMCPMC9309183
OpenAlexW4206978885

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.