Evidence map›Paper›PMID 38076380›Full record

ArticleJournal of clinical and experimental hepatology

Trends of Costs and Admission Rates Among Patients Admitted With Autoimmune Hepatitis: Analysis of US Hospitals Using the NIS Database.

David U Lee, Kimberly Schuster, Aneesh Bahadur, Sophie Schellhammer, Reid Ponder, Emma Mitchell-Sparke, Gregory H Fan, Ki J Lee, Harrison Chou, Zurabi Lominadze

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

David U LeeDivision of Gastroenterology and Hepatology, University of Maryland, 22 S. Greene St, Baltimore, MD, 21201, USA.
Kimberly SchusterDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Aneesh BahadurDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Sophie SchellhammerVanderbilt University School of Medicine, 21st Ave S, Nashville, TN, USA.
Reid PonderDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Emma Mitchell-SparkeDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Gregory H FanDepartment of Medicine, Tufts University School of Medicine, Washington St, Boston, MA, 02111, USA.
Ki J LeeDepartment 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, 22 S. Greene St, Baltimore, MD, 21201, USA.
Tufts University · USUniversity of Maryland, Baltimore · USVanderbilt University · 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 T32 DK067872
6 · The paper itself

Abstract

Background and aim: Autoimmune hepatitis (AIH) is a prominent cause of chronic liver disease in the United States. This study aims to characterize the incidence, mortality, and cost implications of this condition using a national database. Method: The 2016-2019 National Inpatient Sample was used to select patients with AIH. After adjusting for inflation, weighted charge data were used to calculate the admission costs using charge-to-cost ratios. Demographic, socioeconomic status, and comorbidity values were used to build strata to characterize admission incidence, mortality data and aggregate and per-capita cost values. Furthermore, additional sensitivity analysis was performed using a stratified set of patients with AIH as one of the top 10 diagnosis (AIH-specific subsample). Multinomial regression curves were graphed and assessed to derive goodness-of-fit for each trend. R Results: From 2016 to 2019, the total admissions related to AIH were approximately 20,984, 21,905, 22,055, and 22,680 cases, respectively (R Conclusion: Among AIH-specific admissions, there was a decreasing trend overall; however, there was an exceptional increase in the admissions among those with hepatic complications.

Indexed as

AIHinflation-adjusted admission costsliver decompensationregression trendsweighted analysis of national data

Identifiers

PMID38076380
PMCPMC10709195
OpenAlexW4386359968

What OpenQuestion holds

Textmetadata
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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.