Evidence map›Paper›PMID 38609476›Full record

ArticleScientific reports2024

AI-driven translations for kidney transplant equity in Hispanic populations.

Oscar A Garcia Valencia, Charat Thongprayoon, Caroline C Jadlowiec, Shennen A Mao, Napat Leeaphorn, Pooja Budhiraja, Iasmina M Craici, Maria L Gonzalez Suarez, Wisit Cheungpasitporn

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
17.8field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Oscar A Garcia ValenciaDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Charat ThongprayoonDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Caroline C JadlowiecDivision of Transplant Surgery, Mayo Clinic, Phoenix, AZ, USA.
Shennen A MaoDivision of Transplant Surgery, Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
Napat LeeaphornDivision of Transplant Surgery, Department of Transplantation, Mayo Clinic, Jacksonville, FL, USA.
Pooja BudhirajaDivision of Transplant Surgery, Mayo Clinic, Phoenix, AZ, USA.
Iasmina M CraiciDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Maria L Gonzalez SuarezDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
Wisit CheungpasitpornDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, Rochester, MN, USA. wcheungpasitporn@gmail.com.
Mayo Clinic · USMayo Clinic in Florida · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health equity and accessing Spanish kidney transplant information continues being a substantial challenge facing the Hispanic community. This study evaluated ChatGPT's capabilities in translating 54 English kidney transplant frequently asked questions (FAQs) into Spanish using two versions of the AI model, GPT-3.5 and GPT-4.0. The FAQs included 19 from Organ Procurement and Transplantation Network (OPTN), 15 from National Health Service (NHS), and 20 from National Kidney Foundation (NKF). Two native Spanish-speaking nephrologists, both of whom are of Mexican heritage, scored the translations for linguistic accuracy and cultural sensitivity tailored to Hispanics using a 1-5 rubric. The inter-rater reliability of the evaluators, measured by Cohen's Kappa, was 0.85. Overall linguistic accuracy was 4.89 ± 0.31 for GPT-3.5 versus 4.94 ± 0.23 for GPT-4.0 (non-significant p = 0.23). Both versions scored 4.96 ± 0.19 in cultural sensitivity (p = 1.00). By source, GPT-3.5 linguistic accuracy was 4.84 ± 0.37 (OPTN), 4.93 ± 0.26 (NHS), 4.90 ± 0.31 (NKF). GPT-4.0 scored 4.95 ± 0.23 (OPTN), 4.93 ± 0.26 (NHS), 4.95 ± 0.22 (NKF). For cultural sensitivity, GPT-3.5 scored 4.95 ± 0.23 (OPTN), 4.93 ± 0.26 (NHS), 5.00 ± 0.00 (NKF), while GPT-4.0 scored 5.00 ± 0.00 (OPTN), 5.00 ± 0.00 (NHS), 4.90 ± 0.31 (NKF). These high linguistic and cultural sensitivity scores demonstrate Chat GPT effectively translated the English FAQs into Spanish across systems. The findings suggest Chat GPT's potential to promote health equity by improving Spanish access to essential kidney transplant information. Additional research should evaluate its medical translation capabilities across diverse contexts/languages. These English-to-Spanish translations may increase access to vital transplant information for underserved Spanish-speaking Hispanic patients.

Indexed as

Kidney TransplantationAlanine TransaminaseArtificial IntelligenceCholine O-AcetyltransferaseHealth PromotionHispanic or LatinoHumansMexican AmericansReproducibility of ResultsState MedicineAlanine TransaminaseCholine O-AcetyltransferaseArtificial intelligenceChatGPTCultural sensitivityHealth equityKidney transplant informationLarge language modelsSpanish translation

Identifiers

PMID38609476
PMCPMC11014982
OpenAlexW4394757974

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.