Evidence map›Paper›PMID 31831878›Full record

ReviewNature reviews. Rheumatology2020

Drug repurposing to improve treatment of rheumatic autoimmune inflammatory diseases.

Kathryn M Kingsmore, Amrie C Grammer, Peter E Lipsky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
8.8field-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

37 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Magnetite Micro/Nanorobots for Efficient Targeted Alleviation of Inflammatory Bowel Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Article
  7. Pyronaridine InhibitedBiomolecules & therapeutics · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. The autoimmune tautology revisited.Journal of translational autoimmunity · 2023
    Article
  12. Article
  13. Review
  14. Patient-Reported Outcome Measures for Patients with Upper Extremity Arthritis: Overview of Systematic Reviews.Clinical medicine insights. Arthritis and musculoskeletal disorders · 2023
    Review
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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 at 1 institution in 1 country.

Kathryn M KingsmoreAMPEL BioSolutions and RILITE Research Institute, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-9923-4709
Amrie C GrammerAMPEL BioSolutions and RILITE Research Institute, Charlottesville, VA, USA.
Peter E LipskyAMPEL BioSolutions and RILITE Research Institute, Charlottesville, VA, USA. peterlipsky@comcast.net.ORCID http://orcid.org/0000-0002-9287-1676
Ampel BioSolutions (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The past century has been characterized by intensive efforts, within both academia and the pharmaceutical industry, to introduce new treatments to individuals with rheumatic autoimmune inflammatory diseases (RAIDs), often by 'borrowing' treatments already employed in one RAID or previously used in an entirely different disease, a concept known as drug repurposing. However, despite sharing some clinical manifestations and immune dysregulation, disease pathogenesis and phenotype vary greatly among RAIDs, and limited understanding of their aetiology has made repurposing drugs for RAIDs challenging. Nevertheless, the past century has been characterized by different 'waves' of repurposing. Early drug repurposing occurred in academia and was based on serendipitous observations or perceived disease similarity, often driven by the availability and popularity of drug classes. Since the 1990s, most biologic therapies have been developed for one or several RAIDs and then tested among the others, with varying levels of success. The past two decades have seen data-driven repurposing characterized by signature-based approaches that rely on molecular biology and genomics. Additionally, many data-driven strategies employ computational modelling and machine learning to integrate multiple sources of data. Together, these repurposing periods have led to advances in the treatment for many RAIDs.

Indexed as

Antirheumatic AgentsAutoimmune DiseasesComputational BiologyDrug RepositioningDrug Therapy, Computer-AssistedHumansRheumatic DiseasesAntirheumatic Agents

Identifiers

PMID31831878
OpenAlexW2994900199

What OpenQuestion holds

Textmetadata
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.