Evidence map›Paper›PMID 37794854›Full record

ReviewHepatic medicine : evidence and research2023

The Impact of Alcohol Consumption and Addiction on Liver Transplantation Programs in the COVID-19 Era.

Richie Manikat, Aijaz Ahmed, Donghee Kim

Open access · goldAbstract readReview
In one paragraph

Review in Hepatic medicine : evidence and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

3 authors at 1 institution in 1 country.

Richie ManikatDivision of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-7348-8081
Aijaz Ahmed *Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-3609-8586
Donghee Kim *Division of Gastroenterology and Hepatology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-1919-6800
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has caused significant shifts in alcohol consumption patterns in the United States, with potential long-term implications for liver transplantation (LT) programs. Alcohol consumption has increased, particularly in women, leading to a rise in alcohol-related liver disease (ALD) and alcohol use disorder. Psychological distress associated with the pandemic may further exacerbate alcohol addiction. ALD is now the most common indication for LT, with higher disease severity and complex clinical presentations, demanding a fundamental transformation in LT programs. Multidisciplinary cooperation among medical specialists, telemedicine, and remote healthcare are essential strategies to address these challenges. However, barriers to telemedicine and costs must be overcome. Curbing alcohol consumption at the societal level and bolstering mental health programs to mitigate healthcare workforce moral injury are recommended to optimize patient care in the post-COVID-19 era. Adequate planning and compassionate management of finite resources will be crucial for the successful continuation of LT programs amidst the concerning trends in alcohol consumption and addiction.

Indexed as

alcohol-related liver diseasealcohol use disorderCOVID-19trend

Identifiers

PMID37794854
PMCPMC10546995
OpenAlexW4387189720

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.