The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Identification of High– and Low–Risk Patients Before Liver Transplantation: A Prospective Cohort Study of Nutritional and Metabolic Parameters in 150 Patients
Abstract
The clinical relevance of malnutrition and hypermetabolism in end–stage liver disease, as well as their effects on survival after liver transplantation (LTx), are largely unknown. This study investigates the prognostic value of nutritional and metabolic parameters obtained before LTx for survival after LTx. One hundred fifty patients with end– stage liver disease undergoing LTx were assessed prospectively and followed for a mean period of 46 ± 16 months after LTx. All patients were randomized into a study group and a validation group, each comprising 75 patients. Body composition analysis (24–hour urinary creatinine excretion, anthropometry, bioelectrical impedance analysis), deviation of measured from predicted resting energy expenditure (ΔREE), year of transplantation, and several variables known to be of prognostic relevance in patients with liver disease undergoing conservative treatment were analyzed. Kaplan–Meier and log rank analysis showed that hypermetabolic patients (ΔREE > +20%) and patients with a body cell mass (BCM) < 35% of body weight tended to have reduced survival after LTx. A risk profile on the basis of ΔREE and BCM identified patients with high risk (5–year survival rate, 54%) and low risk (5–year survival rate, 88%; P < .01). The predictive power of this risk profile was independent of the presence of ascites and clinical edema, and its validity was confirmed in the validation group (P < .01). The Child–Pugh score was not of prognostic value. We conclude that a poor nutritional state, as well as hypermetabolism, adversely affects survival after LTx. These potentially treatable presurgical factors deserve close attention in interventional studies.
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.
Integrity signals
Registry
Cites
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.
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
Transection of the oesophagus for bleeding oesophageal varices
Pugh, R. N. H., Murray-Lyon, I. M., Dawson, J. L., Pietroni, M. C., & Williams, R. (1973) · Journal of British Surgery · doi:10.1002/bjs.1800600817 · Cited by 7,941
The Harris Benedict equation reevaluated: resting energy requirements and the body cell mass
Roza, A. M., & Shizgal, H. M. (1984) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/40.1.168 · Cited by 824
Cited by
Bioelectrical impedance analysis?part I: review of principles and methods
KYLE, U. (2004) · Clinical Nutrition · doi:10.1016/j.clnu.2004.06.004 · Cited by 3,200
EASL Clinical Practice Guidelines on nutrition in chronic liver disease
Merli, M., Berzigotti, A., Zelber-Sagi, S., Dasarathy, S., Montagnese, S., Genton, L., Plauth, M., & Parés, A. (2019) · Journal of Hepatology · doi:10.1016/j.jhep.2018.06.024 · Cited by 1,130
ESPEN guideline on clinical nutrition in liver disease
Plauth, M., Bernal, W., Dasarathy, S., Merli, M., Plank, L. D., Schütz, T., & Bischoff, S. C. (2019) · Clinical Nutrition · doi:10.1016/j.clnu.2018.12.022 · Cited by 674
ESPEN practical guideline: clinical nutrition in liver disease
Bischoff, S. C., Bernal, W., Dasarathy, S., Merli, M., Plank, L. D., Schütz, T., & Plauth, M. (2020) · Clinical Nutrition · doi:10.1016/j.clnu.2020.09.001 · Cited by 383
van Vugt, J. L. A., Levolger, S., de Bruin, R. W. F., van Rosmalen, J., Metselaar, H. J., & IJzermans, J. N. M. (2016) · American Journal of Transplantation · doi:10.1111/ajt.13732 · Cited by 361
Metadata
- Authors
- Selberg, O., Bottcher, J., Tusch, G., Pichlmayr, R., Henkel, E., & Muller, M. J.
- Venue
- Hepatology
- Published
- 1997-03
- Volume
- 25
- Issue
- 3
- Pages
- 652-657
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2046417998
- Cited by
- 343
- References
- 2
- FWCI
- 13.80
- 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: Identification of High– and Low–Risk Patients Before Liver Transplantation: A Prospective Cohort Study of Nutritional and Metabolic Parameters in 150 Patients. https://app.cochat.ai/papers/10.1002/hep.510250327
- The paper
- Selberg, O., Bottcher, J., Tusch, G., Pichlmayr, R., Henkel, E., & Muller, M. J. (1997). Identification of High– and Low–Risk Patients Before Liver Transplantation: A Prospective Cohort Study of Nutritional and Metabolic Parameters in 150 Patients. Hepatology. https://doi.org/10.1002/hep.510250327
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.