Evidence map›Paper›PMID 39430573›Full record

ArticleLancet regional health. Americas2024

Identifying when racial and ethnic disparities arise along the continuum of transplant care: a national registry study.

Maya N Clark-Cutaia, Gayathri Menon, Yiting Li, Garyn T Metoyer, Mary Grace Bowring, Byoungjun Kim, Babak J Orandi, Stephen P Wall, Melissa D Hladek, Tanjala S Purnell and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Maya N Clark-CutaiaHunter-Bellevue School of Nursing, Hunter College, City University of New York, New York, NY, USA.
Gayathri MenonDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Yiting LiDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Garyn T MetoyerDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Mary Grace BowringDivision of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Byoungjun KimDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Babak J OrandiDepartment of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Stephen P WallDepartment of Medicine, New York University Grossman School of Medicine, New York, NY, USA.
Melissa D HladekJohns Hopkins University School of Nursing, Baltimore, MD, USA.
Tanjala S PurnellDivision of Transplantation, Department of Surgery, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Dorry L SegevDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.
Mara A McAdams-DeMarcoDepartment of Surgery, New York University Grossman School of Medicine, New York, NY, USA.

Funding

Medical Scientist Training ProgramT32GM136577 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI ANDREA L COX · 2020 to 2026
$13.4M
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
Cognitive Decline and Incident Dementia in Older Patients with Secondary HyperparathyroidismR01AG076834 · NIA · JOHNS HOPKINS UNIVERSITY · PI Aarti Mathur · 2023 to 2026
$3.3M
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
Addressing Inactive Kidney Transplant Waitlist Status through Adapting a Tailored Psycho-Social-Environmental ProgramK23DK133677 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Melissa Hladek · 2023 to 2026
$779k
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
Predicting post-kidney transplant dementia/Alzheimer's Disease risk in older patientsF32AG082486 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LONG, JANE J · 2023 to 2025
$281k
Leveraging a novel health records platform to predict the development of cardiovascular disease following kidney transplantationF30HL168842 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI BOWRING, MARY GRACE · 2023 to 2025
$170k
NHLBI NIH HHS F30 HL168842NIAID NIH HHS K24 AI144954NIA NIH HHS F32 AG082486NIA NIH HHS K02 AG076883NIA NIH HHS R01 AG055781NIA NIH HHS R01 AG076834NIA NIH HHS R01 AG077888NIDDK NIH HHS K01 DK139420NIDDK NIH HHS K23 DK133677NIDDK NIH HHS R01 DK114074NIDDK NIH HHS R01 DK120518NIGMS NIH HHS T32 GM136577
6 · The paper itself

Abstract

Background: Fewer minoritized patients with end-stage kidney disease (ESKD) receive kidney transplantation (KT); efforts to mitigate disparities have thus far failed. Pinpointing the specific stage(s) within the transplant care continuum (being informed of KT options, joining the waiting list, to receiving KT) where disparities emerge among each minoritized population is pivotal for achieving equity. We therefore quantified racial and ethnic disparities across the KT care continuum. Methods: We conducted a retrospective cohort study (2015-2020), with follow-up through 12/10/2021. Patients with incident dialysis were identified using the US national registry data. The exposure was race and ethnicity (Asian, Black, Hispanic, and White). We used adjusted modified Poisson regression to quantify the adjusted prevalence ratio (aPR) of being informed of KT, and cause-specific hazards models to calculate adjusted hazard ratios (aHR) of listing, and transplantation after listing. Findings: Among 637,951 adults initiating dialysis, the mean age (SD) was 63.8 (14.6), 41.8% were female, 5.4% were Asian, 26.3% were Black, 16.6% were Hispanic, and 51.7% were White (median follow-up in years [IQR]:1.92 [0.97-3.39]). Black and Hispanic patients were modestly more likely to be informed of KT (Black: aPR = 1.02, 95% confidence interval [CI]:1.01-1.02; Hispanic: aPR = 1.03, 95% CI: 1.02-1.03) relative to White patients. Asian patients were more likely to be listed (aHR = 1.18, 95% CI: 1.15-1.21) but less likely to receive KT (aHR = 0.56, 95% CI: 0.54-0.58). Both Black and Hispanic patients were less likely to be listed (Black: aHR = 0.87, 95% CI: 0.85-0.88; Hispanic: aHR = 0.85, 95% CI: 0.85-0.88) and receive KT (Black: aHR = 0.61, 95% CI: 0.60-0.63; Hispanic: aHR = 0.64, 95% CI: 0.63-0.66). Interpretation: Improved characterization of the barriers in KT access specific to each racial and ethnic group, and the interventions to address these distinct challenges throughout the KT care continuum are needed; our findings identify specific stages most in need of mitigation. Funding: National Institutes of Health.

Indexed as

DisparitiesHealth equityKidney transplantationUnderrepresented minorities

Identifiers

PMID39430573
PMCPMC11489072

What OpenQuestion holds

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Registered trials

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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.