Evidence map›Paper›PMID 38294815›Full record

ArticleJAMA network open2024

Undiagnosed Cirrhosis and Hepatic Encephalopathy in a National Cohort of Veterans With Dementia.

Jasmohan S Bajaj, Scott G Silvey, Shari Rogal, Jacqueline G O'Leary, Heather Patton, Timothy R Morgan, Gowthami Kanagalingam, Angela Gentili, Michael Godschalk, Nilang Patel

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
8.1field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

10 authors at 6 institutions in 1 country.

Jasmohan S BajajDepartment of Medicine, Virginia Commonwealth University, Richmond.
Scott G SilveyRichmond VA Medical Center, Richmond, Virginia.
Shari RogalDepartment of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jacqueline G O'LearyDepartment of Medicine, Dallas VA Medical Center, Dallas, Texas.
Heather PattonDepartment of Medicine, San Diego VA Medical Center, San Diego, California.
Timothy R MorganMedical Service, VA Long Beach Healthcare System, Long Beach, California.
Gowthami KanagalingamDepartment of Medicine, Virginia Commonwealth University, Richmond.
Angela GentiliRichmond VA Medical Center, Richmond, Virginia.
Michael GodschalkRichmond VA Medical Center, Richmond, Virginia.
Nilang PatelDepartment of Medicine, Virginia Commonwealth University, Richmond.
Hunter Holmes McGuire VA Medical Center · USVirginia Commonwealth University · USDallas VA Medical Center · USUniversity of California San Diego Medical Center · USUniversity of Pittsburgh · USVA Long Beach Healthcare System · US

Funding

Wright Regional Center for Clinical and Translational ScienceUM1TR004360 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI FREDERICK Gerard MOELLER · 2023 to 2026
$16.3M
NCATS NIH HHS UM1 TR004360
6 · The paper itself

Abstract

Importance: Dementia and hepatic encephalopathy (HE) are challenging to distinguish clinically. Undiagnosed cirrhosis in a patient with dementia can lead to missed opportunities to treat HE. Objective: To examine the prevalence and risk factors of undiagnosed cirrhosis and therefore possible HE in veterans with dementia. Design, Setting, and Participants: A retrospective cohort study was conducted between 2009 and 2019 using data from the Veterans Health Administration (VHA) and 2 separate validation cohorts from the Richmond Veterans Affairs Medical Center. Data analysis was conducted from May 20 to October 15, 2023. Participants included 177 422 US veterans with a diagnosis of dementia at 2 or more clinic visits, no prior diagnosis of cirrhosis, and with sufficient laboratory test results to calculate the Fibrosis-4 (FIB-4) score. Exposures: Demographic and clinical characteristics. Main Outcomes and Measures: An FIB-4 score (>2.67 suggestive of advanced fibrosis and >3.25 suggestive of cirrhosis), capped at age 65 years even for those above this cutoff who were included in the analysis. Results: Among 177 422 veterans (97.1% men; 80.7% White; mean (SD) age, 78.35 [10.97] years) 5.3% (n = 9373) had an FIB-4 score greater than 3.25 and 10.3% (n = 18 390) had an FIB-4 score greater than 2.67. In multivariable logistic regression models, FIB-4 greater than 3.25 was associated with older age (odds ratio [OR], 1.07; 95% CI, 1.06-1.09), male gender (OR, 1.43; 95% CI, 1.26-1.61), congestive heart failure (OR, 1.48; 95% CI, 1.43-1.54), viral hepatitis (OR, 1.79; 95% CI, 1.66-1.91), Alcohol Use Disorders Identification Test score (OR, 1.56; 95% CI, 1.44-1.68), and chronic kidney disease (OR, 1.11; 95% CI, 1.04-1.17), and inversely associated with White race (OR, 0.79; 95% CI, 0.73-0.85), diabetes (OR, 0.78; 95% CI, 0.73-0.84), hyperlipidemia (OR, 0.84; 95% CI, 0.79-0.89), stroke (OR, 0.85; 95% CI, 0.79-0.91), tobacco use disorder (OR, 0.78; 95% CI, 0.70-0.87), and rural residence (OR, 0.92; 95% CI, 0.87-0.97). Similar findings were associated with the FIB-4 greater than 2.67 threshold. These codes were associated with cirrhosis on local validation. A local validation cohort of patients with dementia showed a similar percentage of high FIB-4 scores (4.4%-11.2%). Conclusions and Relevance: The findings of this cohort study suggest that clinicians encountering patients with dementia should be encouraged to screen for cirrhosis using the FIB-4 score to uncover reversible factors associated with cognitive impairment, such as HE, to enhance outcomes.

Indexed as

AlcoholismDementiaHepatic EncephalopathyVeteransAgedCohort StudiesFemaleHumansLiver CirrhosisMaleRetrospective Studies

Identifiers

PMID38294815
PMCPMC10831576
OpenAlexW4391384206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.