Evidence map›Paper›PMID 42770156›Full record

ArticleTransplantation direct2026

Sex, Drugs, and the Language of Donor Narratives: Associations With Kidney Acceptance.

Ritah R Chumdermpadetsuk, Yotam Ophir, Jackson Fulk-Logon, John Christopher Polanco-Santana, Thomas H Feeley, Devin E Eckhoff, David D Lee

Abstract read
In one paragraph

Article in Transplantation direct, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ritah R ChumdermpadetsukDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.ORCID https://orcid.org/0000-0002-1909-7741
Yotam OphirDepartment of Communication, University at Buffalo, Buffalo, NY.
Jackson Fulk-LogonDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.
John Christopher Polanco-SantanaDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.
Thomas H FeeleyDepartment of Communication, University at Buffalo, Buffalo, NY.
Devin E EckhoffDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.
David D LeeDepartment of Surgery, Beth Israel Deaconess Medical Center, Boston, MA.ORCID https://orcid.org/0000-0002-2086-0150

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the shortage of donor kidneys, nonutilization remains common. We hypothesized that social history language in donor narratives influences acceptance. Using Natural Language Processing, we evaluated how language describing high-risk behaviors interacts with objective data (eg, hepatitis B virus [HBV]/hepatitis C virus [HCV] testing) to affect kidney acceptance. Methods: We queried the Standard Transplant Analysis and Research file (2007-2023), analyzing 151 591 donor narratives with Natural Language Processing to identify 40 topics grouped as Templated Administrative Content and Free-Text Clinical Descriptors. Free-Text Clinical Descriptors were further subdivided into 4 communities, including Social History. Modified Poisson regression modeled associations with acceptance across 3 eras (2007-2014, 2015-2020, 2021-2023), including interactions with HBV/HCV serology. Results: Of 151 591 potential donors, 122 106 (80.55%) were accepted. Positive HBV/HCV testing reduced acceptance in era 1 (risk ratio [RR], 0.773; 95% confidence interval [CI], 0.744-0.802), with attenuation in era 2 (RR, 0.893; 95% CI, 0.878-0.908), and no effect in era 3 (RR, 1.006; 95% CI, 0.993-1.019). Interactions between HBV/HCV positivity and topics reflecting language related to illicit drug use or infectious risk evaluation were associated with reduced acceptance in era 1 only, with no significant interaction in era 2 or era 3. In era 1, interaction terms indicated reduced acceptance for language describing illicit drug use and/or sex in exchange for drugs (RR, 0.665; 95% CI, 0.549-0.805) and infectious risk evaluation (RR, 0.640; 95% CI, 0.452-0.905). Conclusions: The association between high-risk behavioral language and lower kidney acceptance was present in earlier eras but not in the modern era. These findings suggest that the influence of subjective narrative language on decision-making has diminished over time, consistent with advances in antiviral therapy, policy changes, and increased utilization of higher-risk donors.

Identifiers

PMID42770156
PMCPMC13593228

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