Evidence map›Paper›PMID 37160862›Full record

ArticleHepatology international2023

The causes of death in patients with nonalcoholic steatohepatitis following liver transplantation stratified using pre-liver transplant BMI.

David Uihwan Lee, Aneesh Bahadur, Reid Ponder, Ki Jung Lee, Gregory Hongyuan Fan, Harrison Chou, Zurabi Lominadze

Open access · greenAbstract read
In one paragraph

Article in Hepatology international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 1 country.

David Uihwan LeeDivision of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD, 21201, USA. dlee4@som.umaryland.edu.ORCID http://orcid.org/0000-0001-7129-7532
Aneesh BahadurDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Reid PonderDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Ki Jung LeeDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Gregory Hongyuan FanDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Harrison ChouDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Zurabi LominadzeDivision of Gastroenterology and Hepatology, University of Maryland, 620 W Lexington St, Baltimore, MD, 21201, USA.
Tufts University · USUniversity of Maryland, Baltimore · US

Funding

Research Training in Gastroenterology and HepatologyT32DK067872 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI RAUFMAN, JEAN-PIERRE · 2005 to 2024
$7.2M
NIDDK NIH HHS NIH NIDDK T32 DK067872-17NIDDK NIH HHS T32 DK067872
6 · The paper itself

Abstract

BACKGROUND &

aimsDetermining the effects of pre-liver transplant (LT) BMI independent of underlying ascites on the post-LT outcomes of patients with nonalcoholic steatohepatitis (NASH) is needed to clarify the paradoxical and protective effects of obesity on post-LT endpoints. In order to accomplish this, we used graded severities of ascites to stratify the NASH-LT population and to perform an ascites-specific strata analysis with differing pre-LT BMI levels.

methods2005-2019 United Network for Organ Sharing (UNOS) Standard Transplant Analysis and Research (STAR) database was queried to select patients with NASH, who were categorized into specific sets of ascites severity: no ascites (n = 1188), mild ascites (n = 4463), and moderate ascites (n = 3525). Then, BMI classification (underweight: < 18.5, normal: 18.5-25, overweight: 25-30, obese: ≥ 30 kg/m

resultsAmong each ascites category, there were the following numbers of normal, underweight, overweight, and obese BMI patients respectively; no ascites: 161, 4, 359, 664; mild ascites: 643, 28, 1311, 2481; and moderate ascites: 529, 25, 1030, 1941. The obese BMI cohort was at a lower risk of all-cause mortality compared to recipients with normal BMI with mild ascites (aHR: 0.79, 95% Confidence Interval (CI) 0.65-0.94, p-value = 0.010; case-incidence 47.10 vs 56.81 deaths per 1000 person-years) and moderate ascites (aHR: 0.77, 95% CI 0.63-0.94, p-value = 0.009; case-incidence 53.71 vs 66.17 deaths per 1000 person-years). In addition, the overweight BMI cohort with mild ascites demonstrated a lower hazard of all-cause mortality (aHR: 0.80, 95% CI 0.66-0.97, p-value = 0.03; case-incidence 49.09 vs 56.81 deaths per 1000 person-years). There was no difference in graft failure for the three BMI groups (underweight, overweight, and obese) in comparison to normal BMI. Furthermore, the overweight BMI group with mild ascites cohort demonstrated a lower hazard of death due to general infectious causes (aHR: 0.51, 95% CI 0.32-0.83, p = 0.006; case-incidence 6.12 vs 11.91 deaths per 1000 person-years) and sepsis (aHR: 0.49, 95% CI 0.27-0.86, p = 0.01; case-incidence 4.31 vs 8.50 deaths per 1000 person-years).

conclusionThe paradoxical effects of obesity in reducing the risks of all-cause death appears to be in part modulated by ascites. The current study emphasizes the need to evaluate BMI with concomitant ascites severity pre-LT to accurately prognosticate post-LT outcomes when evaluating NASH patients with advanced liver disease.

Indexed as

Liver TransplantationNon-alcoholic Fatty Liver DiseaseAdolescentAscitesBody Mass IndexCause of DeathHumansObesityOverweightRetrospective StudiesRisk FactorsThinnessAscitesBody mass indexNASHParadoxical effects of obesityStrata-specific analysisUNOS-STAR

Identifiers

PMID37160862
PMCPMC10767727
OpenAlexW4376109508

What OpenQuestion holds

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Registered trials

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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.