Evidence map›Paper›PMID 32099443›Full record

ReviewPharmacogenomics and personalized medicine2020

Towards Precision Medicine in Systemic Lupus Erythematosus.

Elliott Lever, Marta R Alves, David A Isenberg

Open access · goldAbstract readReview
In one paragraph

Review in Pharmacogenomics and personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
  2. Article
  3. Towards precision medicine for systemic lupus erythematosus and neuropsychiatric manifestations.Expert review of precision medicine and drug development · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Application of Machine Learning Models in Systemic Lupus Erythematosus.International journal of molecular sciences · 2023
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. T Cells in Systemic Lupus Erythematosus.Rheumatic diseases clinics of North America · 2021
    Review
  18. Review
  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 2 institutions in 2 countries.

Elliott LeverCentre for Rheumatology, Division of Medicine, University College Hospital London, London, UK.ORCID 0000-0002-5483-6933
Marta R AlvesInternal Medicine, Department of Medicine, Centro Hospitalar do Porto, Porto, Portugal.
David A IsenbergCentre for Rheumatology, Division of Medicine, University College Hospital London, London, UK.
University College Hospital · GBCentro Hospitalar do Porto · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a remarkable condition characterised by diversity amongst its clinical features and immunological abnormalities. In this review, we attempt to capture the major immunological changes linked to the pathophysiology of lupus and discuss the challenge it presents in moving towards the concept of precision medicine. Currently broadly similar types of drugs, e.g., steroids, immunosuppressives, hydroxychloroquine are used to treat many of the diverse clinical features of SLE. We suspect that, as the precise immunopathological abnormalities differ between the various organs/systems in lupus patients, it will be some time before precision medicine can be fully applied to SLE.

Indexed as

anti-DNA antibodiesimmunosuppressionlupus geneticslupus nephritissystemic lupus erythematosus

Identifiers

PMID32099443
PMCPMC7007776
OpenAlexW3004190574

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.