Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 530

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

MELD accurately predicts mortality in patients with alcoholic hepatitis†

Dunn, Winston, Jamil, Laith H., Brown, Larry S., Wiesner, Russell H., Kim, W. Ray, Menon, K. V. Narayanan, Malinchoc, Michael, Kamath, Patrick S., Shah, Vijay·2005·Hepatology

Abstract

Assessing severity of disease in patients with alcoholic hepatitis (AH) is useful for predicting mortality, guiding treatment decisions, and stratifying patients for therapeutic trials. The traditional disease-specific prognostic model used for this purpose is the Maddrey discriminant function (DF). The model for end-stage liver disease (MELD) is a more recently developed scoring system that has been validated as an independent predictor of patient survival in candidates for liver transplantation. The aim of the present study was to examine the ability of MELD to predict mortality in patients with AH. A retrospective cohort study of 73 patients diagnosed with AH between 1995 and 2001 was performed at the Mayo Clinic in Rochester, Minnesota. MELD was the only independent predictor of mortality in patients with AH. MELD was comparable to DF in predicting 30-day mortality (c-statistic and 95% CI: 0.83 [0.71-0.96] and 0.74 [0.62-0.87] for MELD and DF, respectively, not significant) and 90-day mortality (c-statistic and 95% CI: 0.86 [0.77-0.96] and 0.83 [0.74-0.92] for MELD and DF, respectively, not significant). A MELD score of 21 had a sensitivity of 75% and a specificity of 75% in predicting 90-day mortality in AH. In conclusion, MELD is useful for predicting 30-day and 90-day mortality in patients with AH and maintains some practical and statistical advantages over DF in predicting mortality rate in these patients. MELD is a useful clinical tool for gauging mortality and guiding treatment decisions in patients with AH, particularly those complicated by ascites and/or encephalopathy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/hep.20503

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 2 references

Cited by

See all 530

Metadata

Authors
Dunn, W., Jamil, L. H., Brown, L. S., Wiesner, R. H., Kim, W. R., Menon, K. V. N., Malinchoc, M., Kamath, P. S., & Shah, V.
Venue
Hepatology
Published
2005-02
Volume
41
Issue
2
Pages
353-358
ISSN
0270-9139 (ISSN-L)
OpenAlex
W2073048831
Cited by
530
References
2
FWCI
13.82
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MELD accurately predicts mortality in patients with alcoholic hepatitis†. https://app.cochat.ai/papers/10.1002/hep.20503
The paper
Dunn, W., Jamil, L. H., Brown, L. S., Wiesner, R. H., Kim, W. R., Menon, K. V. N., Malinchoc, M., Kamath, P. S., & Shah, V. (2005). MELD accurately predicts mortality in patients with alcoholic hepatitis†. Hepatology. https://doi.org/10.1002/hep.20503

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.