Evidence map›Paper›PMID 37309335›Full record

ArticleCureus2023

SARS-CoV-2-Induced Autoimmune Hepatitis.

Nora Martini, Pranav Singla, Elizabeth Arbuckle, Geetika Goyal, Qiang Liu, Maria L Santos-Zabala, Hanady Zainah

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. COVID-19 Infection, Drugs, and Liver Injury.Journal of clinical medicine · 2025
    Review
  2. Unmet needs in autoimmune liver diseases.Current opinion in immunology · 2025
    Review
  3. Review
  4. Article
  5. 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

7 authors at 4 institutions in 1 country.

Nora MartiniInternal Medicine, St. John's Riverside Hospital, Yonkers , USA.
Pranav SinglaInternal Medicine, St. John's Riverside Hospital, Yonkers, USA.
Elizabeth ArbuckleInternal Medicine, Lake Erie College of Osteopathic Medicine, Greensburg, USA.
Geetika GoyalGastrointestinal and Liver Pathology, Montefiore Medical Center, Albert Einstein College of Medicine, New York City, USA.
Qiang LiuPathology and Laboratory Medicine, Montefiore Medical Center, Bronx, USA.
Maria L Santos-ZabalaPathology, St. John's Riverside Hospital, Yonkers, USA.
Hanady ZainahInternal Medicine, St. John's Riverside Hospital, Yonkers, USA.
Albert Einstein College of Medicine · USUniversity of Pennsylvania · USLake Erie College of Osteopathic Medicine · USSt. John's Riverside Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few case reports discuss the incidences of autoimmune hepatitis (AIH) in patients after SARS-CoV-2 infection. Here, we present a case of SARS-CoV-2-induced AIH in a male patient who came into the emergency department with complaints of weight loss, poor oral intake, nausea, dark-colored urine, clay-colored stools, and scleral icterus, which began two weeks after he tested positive for SARS-CoV-2 PCR. Liver biopsy and subsequent histology confirmed the diagnosis of AIH with the most probable etiology being SARS-CoV-2 infection. The patient was treated with N-acetylcysteine (NAC) and steroids with clinical improvement and eventual discharge home. Our goal is to provide a clinical presentation, treatment, and outcome in a patient with SARS-CoV-2-induced AIH.

Indexed as

autoimmune hepatitiscovidcovid-19 and jaundicegastrointestinal and liver pathologyperiportal fibrosisserology testing

Identifiers

PMID37309335
PMCPMC10257862
OpenAlexW4376277459

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.