Evidence map›Paper›PMID 40081754›Full record

ArticleAmerican journal of kidney diseases : the official journal of the National Kidney Foundation2025

Neighborhood Built Environment and Home Dialysis Utilization: Varying Patterns by Urbanicity-Dependent Patterns and Implications for Policy.

Byoungjun Kim, Yiting Li, Myeonggyun Lee, Sunjae Bae, Matthew F Blum, Dustin Le, Josef Coresh, David M Charytan, David S Goldfarb, Dorry L Segev and 3 more

Abstract read
In one paragraph

Article in American journal of kidney diseases : the official journal of the National Kidney Foundation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Home Dialysis Utilization in Puerto Rico.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2026
    Article
  3. Article
  4. 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

13 authors.

Byoungjun KimDepartment of Surgery, New York University Grossman School of Medicine, New York, New York; Department of Population Health, New York University Grossman School of Medicine, New York, New York.
Yiting LiDepartment of Surgery, New York University Grossman School of Medicine, New York, New York.
Myeonggyun LeeDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Sunjae BaeDepartment of Surgery, New York University Grossman School of Medicine, New York, New York; Department of Population Health, New York University Grossman School of Medicine, New York, New York.
Matthew F BlumDepartment of Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, Wisconsin.
Dustin LeDivision of Nephrology, Thomas Jefferson University, Philadelphia, Pennsylvania.
Josef CoreshDepartment of Surgery, New York University Grossman School of Medicine, New York, New York; Department of Medicine, New York University Grossman School of Medicine, New York, New York.
David M CharytanDepartment of Medicine, New York University Grossman School of Medicine, New York, New York.
David S GoldfarbDepartment of Medicine, New York University Grossman School of Medicine, New York, New York.
Dorry L SegevDepartment of Surgery, New York University Grossman School of Medicine, New York, New York; Department of Population Health, New York University Grossman School of Medicine, New York, New York.
Lorna E ThorpeDepartment of Population Health, New York University Grossman School of Medicine, New York, New York.
Morgan E GramsDepartment of Population Health, New York University Grossman School of Medicine, New York, New York; Department of Medicine, New York University Grossman School of Medicine, New York, New York.
Mara A McAdams-DeMarcoDepartment of Surgery, New York University Grossman School of Medicine, New York, New York; Department of Population Health, New York University Grossman School of Medicine, New York, New York. Electronic address: mara.mcadamsdemarco@nyulangone.org.

Funding

Project-005UL1TR001445 · NCATS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI BREDELLA, MIRIAM ANTOINETTE, HOCHMAN, JUDITH S · 2015 to 2025
$103.5M
Structural Racism, Resilience, and Premature Cognitive Aging in End-Stage Renal Disease - Revision - 5R01AG077888 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mara A. McAdams DeMarco · 2022 to 2026
$4.4M
Kidney transplantation in older, frail and cognitively impaired adults with ESRD: Balancing utility vs. justiceR01AG055781 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2017 to 2021
$4.2M
Hemodialysis-based interventions to preserve cognitive functionR01DK114074 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2018 to 2022
$3.9M
Developing personalized immunosuppression for older kidney transplant recipientsR01DK120518 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MCADAMS DEMARCO, MARA A. · 2019 to 2022
$2.7M
Patient Oriented Research in Solid Organ TransplantationK24AI144954 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGEV, DORRY L. · 2020 to 2024
$956k
Prevention and Treatment of Cardiovascular Disease in Patients with Chronic Kidney Disease: Patient-Oriented Research and Mentoring - RenewalK24HL155861 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Morgan Erika Grams · 2021 to 2026
$732k
Impact of climate change on cognitive and physical aging of older kidney transplant recipientsK02AG076883 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mara A. McAdams DeMarco · 2023 to 2026
$728k
Neighborhood Characteristics and Chronic Kidney Disease Incidence/Progression: A Quasi-Experimental StudyK01DK139420 · NIDDK · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Byoungjun Kim · 2024 to 2026
$467k
NCATS NIH HHS UL1 TR001445NHLBI NIH HHS K24 HL155861NIAID NIH HHS K24 AI144954NIA NIH HHS K02 AG076883NIA NIH HHS R01 AG055781NIA NIH HHS R01 AG077888NIDDK NIH HHS K01 DK139420NIDDK NIH HHS R01 DK114074NIDDK NIH HHS R01 DK120518
6 · The paper itself

Abstract

RATIONALE &

objectiveDespite national efforts, the uptake of home dialysis (peritoneal dialysis or home hemodialysis) remains low. Characteristics of the built environment may differentially impact home dialysis use. STUDY

designRetrospective cohort study (2010-2019). SETTING &

participants1,103,695 adults (aged≥18 years) initiating dialysis in the US Renal Data System. EXPOSURE: We examined 3 built environment domains based on residential ZIP code: (1) medically underserved areas (MUAs), defined as neighborhoods with limited primary care access; (2) distance to the nearest dialysis facility; and (3) distribution of housing characteristics (structure and overcrowding). OUTCOME: Uptake of home dialysis modalities at dialysis initiation. ANALYTICAL APPROACH: We quantified associations between built environment characteristics and home dialysis initiation using multilevel logistic regression stratified by urbanicity type (urban, suburban, small-town, and rural).

resultsAmong adults initiating dialysis, 40.8% lived in MUAs. Across ZIP codes, the mean percentage of overcrowded housing was 4.2% (SD, 4.7%), and the percentage of detached housing was 61.1% (SD, 21.1%); mean distance to the nearest dialysis facility was 5.5km (SD, 9.1km). Living in MUAs was associated with reduced home dialysis use only in urban (OR, 0.94; 95% CI, 0.91-0.96) and suburban (OR, 0.92; 95% CI, 0.89-0.94) areas. Similarly, housing overcrowding was associated with decreased home dialysis use only in urban (OR, 0.88; 95% CI, 0.86-0.89) and suburban (OR, 0.91; 95% CI, 0.90-0.93) areas. Longer distance to a dialysis facility was the most salient neighborhood factor associated with increased home dialysis use in small towns (OR, 1.14; 95% CI, 1.12-1.16) and rural areas (OR, 1.17; 95% CI, 1.15-1.19). LIMITATIONS: Housing characteristics were measured at the ZIP code level.

conclusionsBuilt environment characteristics associated with home dialysis uptake vary by urbanicity. Policies should address built environment barriers that are specific to urbanicity level. For example, increasing the frequency of dialysate delivery schedules could address housing space constraints in urban and suburban areas, and promoting home dialysis might be more effective for patients living far from dialysis centers in small-town and rural areas.

Indexed as

Built EnvironmentHemodialysis, HomeKidney Failure, ChronicNeighborhood CharacteristicsResidence CharacteristicsUrban PopulationAdultAgedFemaleHealth Services AccessibilityHumansMaleMiddle AgedRetrospective StudiesUnited Statesbuilt environmentshome dialysishome hemodialysisNeighborhoodperitoneal dialysisurbanicity

Identifiers

PMID40081754
PMCPMC12186485

What OpenQuestion holds

Textmetadata
LicenceTDM
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.