Evidence map›Paper›PMID 29636752›Full record

ReviewFrontiers in immunology2018

Autoantibodies in Autoimmune Liver Disease-Clinical and Diagnostic Relevance.

Marcial Sebode, Christina Weiler-Normann, Timur Liwinski, Christoph Schramm

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

73 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Oral Microbiome Characteristics in Patients With Autoimmune Hepatitis.Frontiers in cellular and infection microbiology · 2021
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  3. Trial
  4. Article
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  8. Review
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  11. A case of pregnancy complicated by caroli disease.BMC pregnancy and childbirth · 2025
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  20. Review

13 more citing papers are in PubMed but not listed here.

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

4 authors.

Marcial Sebode1st Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Christina Weiler-Normann1st Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Timur Liwinski1st Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Christoph Schramm1st Department of Medicine, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Testing for liver-related autoantibodies should be included in the workup of patients with hepatitis or cholestasis of unknown origin. Although most of these autoantibodies are not disease specific, their determination is a prerequisite to diagnose autoimmune hepatitis (AIH) and primary biliary cholangitis (PBC), and they are components of the diagnostic scoring system in these diseases. In primary sclerosing cholangitis (PSC), on the other hand, autoantibodies are frequently present but play a minor role in establishing the diagnosis. In PSC, however, data on antibodies suggest a link between disease pathogenesis and the intestinal microbiota. This review will focus on practical aspects of antibody testing in the three major autoimmune liver diseases AIH, PBC, and PSC.

Indexed as

AutoantibodiesCholangitis, SclerosingCholestasisDiagnosis, DifferentialGastrointestinal MicrobiomeHepatitisHepatitis, AutoimmuneHumansLiverLiver Cirrhosis, BiliaryMass ScreeningSerologic TestsAutoantibodiesantimitochondrial antibodiesantinuclear antibodiesautoimmune hepatitisprimary biliary cholangitisprimary sclerosing cholangitisserologysmooth muscle antibodiessoluble liver antigen/liver–pancreas antigen

Identifiers

PMID29636752
PMCPMC5880919

What OpenQuestion holds

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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.