Evidence map›Paper›PMID 40900363›Full record

ArticleDigestive diseases and sciences2026

Real World Performance of the Model for End-Stage Liver Disease Score Across Different Races and Ethnicities.

Maria Mironova, Zachary Zaiman, Mathew C Samuel, Judy Wawira Gichoya, Andre L Holder, Leo Anthony Celi, Daniel J Stein

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Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

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4 · The record

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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.

Maria MironovaDepartment of Medicine, Capital Health Systems, Trenton, NJ, 08638, USA. mironova.ma@gmail.com.
Zachary ZaimanDepartment of Computer Science, Emory University, Atlanta, GA, 30322, USA.
Mathew C SamuelLaboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Judy Wawira GichoyaDepartment of Radiology, Emory University, Atlanta, GA, 30322, USA.
Andre L HolderDivision of Pulmonary, Allergy, Critical Care Medicine and Sleep Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Leo Anthony Celi *Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Daniel J Stein *Division of Gastroenterology, Hepatology and Endoscopy, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, 02115, USA.

Funding

Critical Care Informatics: Ethical considerations around the use and sharing of health-related dataR01EB017205 · NIBIB · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI CELI, LEO ANTHONY G, MARK, ROGER GREENWOOD · 2014 to 2021
$3.8M
Characterizing patients at risk for sepsis through Big Data (Supplement)K23GM137182 · NIGMS · EMORY UNIVERSITY · PI HOLDER, ANDRE L · 2020 to 2023
$907k
Lacuna Fund 67National Heart, Lung and Blood Institute R01HL167811National Science Foundation ITEST #2148451NIBIB NIH HHS 75N92020C00008NIGMS NIH HHS K23 GM137182NIGMS NIH HHS K23GM137182NIH HHS R01EB017205Radiological Society of North America #EIHD2204
6 · The paper itself

Abstract

BACKGROUND AND

aimsThe MELD score assesses liver disease severity and guides liver allocation in the United States. This study aims to address the knowledge gap regarding potential disparities in the performance of MELD-Na and MELD 3.0 scores across races and ethnicities.

methodsA retrospective cohort study of Asian, White, African American, and Hispanic patients with cirrhosis from MIMIC-IV (Beth Israel Deaconess Medical Center) and Emory University databases. The performance of the MELD scores in predicting a composite outcome of death or liver transplant (LT) during the hospital stay or within 90 days was analyzed using AUROC for discrimination, and calibration curves for calibration.

resultsA total of 4,306 patients with cirrhosis from MIMIC-IV and 5801 patients from Emory were included. Across both datasets, no significant differences were found in the discriminative ability of both scores to predict in-hospital death or LT across races and ethnicities (p > 0.05). A small group of Asian patients influenced score performance differences at 90 days in MIMIC-IV. Calibration plots showed both scores tend to overpredict outcomes at higher values, particularly MELD-Na in MIMIC-IV among African Americans.

conclusionsBoth scores demonstrated consistent discriminative ability across major ethnic/racial groups. Both scores predicted outcomes better in Emory, a high-volume LT center, than in MIMIC-IV, suggesting site-specific differences and the Emory cohort's closer resemblance to populations used for MELD derivation. These findings suggest disparities in cirrhosis care may relate to socioeconomic factors rather than score performance.

Indexed as

End Stage Liver DiseaseLiver CirrhosisSeverity of Illness IndexAdultAgedBlack or African AmericanFemaleHospital MortalityHumansLiver TransplantationMaleMiddle AgedRetrospective StudiesUnited StatesWhiteWhite PeopleCirrhosisDisparitiesEquityMELD

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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.