Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 505

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Frailty Predicts Waitlist Mortality in Liver Transplant Candidates

Open access
Lai, J.C., Feng, S., Terrault, N.A., Lizaola, B., Hayssen, H., Covinsky, K.·2014·American Journal of Transplantation

Abstract

We aimed to determine whether frailty, a validated geriatric construct of increased vulnerability to physiologic stressors, predicts mortality in liver transplant candidates. Consecutive adult outpatients listed for liver transplant with laboratory Model for End-Stage Liver Disease (MELD) ≥ 12 at a single center (97% recruitment rate) underwent four frailty assessments: Fried Frailty, Short Physical Performance Battery (SPPB), Activities of Daily Living (ADL) and Instrumental ADL (IADL) scales. Competing risks models associated frailty with waitlist mortality (death/delisting for being too sick for liver transplant). Two hundred ninety-four listed liver transplant patients with MELD ≥ 12, median age 60 years and MELD 15 were followed for 12 months. By Fried Frailty score ≥3, 17% were frail; 11/51 (22%) of the frail versus 25/243 (10%) of the not frail died/were delisted (p = 0.03). Each 1-unit increase in the Fried Frailty score was associated with a 45% (95% confidence interval, 4-202) increased risk of waitlist mortality adjusted for MELD. Similarly, the adjusted risk of waitlist mortality associated with each 1-unit decrease (i.e. increasing frailty) in the Short Physical Performance Battery (hazard ratio 1.19, 95% confidence interval 1.07-1.32). Frailty is prevalent in liver transplant candidates. It strongly predicts waitlist mortality, even after adjustment for liver disease severity demonstrating the applicability and importance of the frailty construct in this population.

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 · 10.1111/ajt.12762

Cites

29 of 29 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 29 references

Cited by

See all 505

Metadata

Authors
Lai, J. C., Feng, S., Terrault, N. A., Lizaola, B., Hayssen, H., & Covinsky, K.
Venue
American Journal of Transplantation
Publisher
Elsevier BV
Published
2014-08
Volume
14
Issue
8
Pages
1870-1879
ISSN
1600-6135 (ISSN-L)
OpenAlex
W1940450382
Cited by
505
References
29
FWCI
12.24
Type
journal article
Language
en
Open access
hybrid

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: Frailty Predicts Waitlist Mortality in Liver Transplant Candidates. https://app.cochat.ai/papers/10.1111/ajt.12762
The paper
Lai, J. C., Feng, S., Terrault, N. A., Lizaola, B., Hayssen, H., & Covinsky, K. (2014). Frailty Predicts Waitlist Mortality in Liver Transplant Candidates. American Journal of Transplantation. https://doi.org/10.1111/ajt.12762

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.