Evidence map›Paper›PMID 32085664›Full record

ReviewInternational journal of molecular sciences2020

Autoantibody Biomarkers in Rheumatic Diseases.

Eun Ha Kang, You-Jung Ha, Yun Jong Lee

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

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

  1. Pooled it
  2. Article
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  4. Review
  5. Review
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  7. Article
  8. Review
  9. CAR-T cell therapy embarks on autoimmune disease.Bone marrow transplantation · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Anti-nuclear autoantibodies in Graves' disease and Graves' orbitopathy.Journal of endocrinological investigation · 2023
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
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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

3 authors.

Eun Ha KangDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0001-9697-1159
You-Jung HaDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.ORCID 0000-0001-6107-9523
Yun Jong LeeDivision of Rheumatology Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam 13620, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autoantibodies encountered in patients with systemic rheumatic diseases bear clinical significance as a biomarker to help or predict diagnosis, clinical phenotypes, prognosis, and treatment decision-making. Furthermore, evidence has accumulated regarding the active involvement of disease-specific or disease-associated autoantibodies in the pathogenic process beyond simple association with the disease, and such knowledge has become essential for us to better understand the clinical value of autoantibodies as a biomarker. This review will focus on the current update on the autoantibodies of four rheumatic diseases (rheumatoid arthritis, myositis, systemic sclerosis, and anti-neutrophil cytoplasmic antibody associated vasculitis) where there has been a tremendous progress in our understanding on their biological effects and clinical use.

Indexed as

Antibodies, Antineutrophil CytoplasmicAutoantibodiesBiomarkersHumansRheumatic DiseasesAntibodies, Antineutrophil CytoplasmicAutoantibodiesBiomarkersautoantibodybiomarkerrheumatic disease

Identifiers

PMID32085664
PMCPMC7073052

What OpenQuestion holds

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Registered trials

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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.