Evidence map›Paper›PMID 36164924›Full record

ReviewClinical & experimental ophthalmology2022

The standardisation of uveitis nomenclature (SUN) project.

Douglas A Jabs, Peter McCluskey, Alan G Palestine, Jennifer E Thorne, Standardization of Uveitis Nomenclature (SUN) Working Group

Abstract readReview
In one paragraph

Review in Clinical & experimental ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Microbiome-based therapeutics for ocular diseases.Clinical & experimental optometry · 2025
    Review
  17. Uveitis in paediatric Behçet disease: a large multicentric Italian cohort.Therapeutic advances in musculoskeletal disease · 2024
    Article
  18. 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

5 authors.

Douglas A JabsThe Department of Epidemiology, Center for Clinical Trials and Evidence Synthesis, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID https://orcid.org/0000-0002-0368-1361
Peter McCluskeySave Sight Institute, Discipline of Ophthalmology, University of Sydney Faculty of Medicine and Health, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0002-8177-1637
Alan G PalestineDepartment of Ophthalmology, The University of Colorado School of Medicine, Aurora, Colorado, USA.
Jennifer E ThorneThe Department of Epidemiology, Center for Clinical Trials and Evidence Synthesis, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Standardization of Uveitis Nomenclature (SUN) Working Group

Funding

DEVELOPING CLASSIFICATION CRITERIA FOR THE UVEITIDESR01EY026593 · NEI · JOHNS HOPKINS UNIVERSITY · PI JABS, DOUGLAS A · 2016 to 2019
$1.5M
NEI NIH HHS R01 EY026593
6 · The paper itself

Abstract

The uveitides are a collection of over 30 diseases characterised by intraocular inflammation. Previous work demonstrated that the agreement among uveitis experts on diagnosis was modest at best with some pairs of experts having chance alone agreement on selected diseases. The Standardisation of Uveitis Nomenclature (SUN) is a17-year collaboration among experts in uveitis, ocular image grading, informatics, and machine learning to improve clinical and translational uveitis research. The SUN "Developing Classification Criteria for the Uveitides" project used a rigorous, multi-phase approach to develop classification criteria for 25 of the most common uveitic diseases. The project's phases were: (1) informatics; (2) case collection; (3) case selection; (4) machine learning; and (5) consensus review and publication. The results were classification criteria with a high degree of accuracy (93.3%-99.3% depending on anatomic class of the uveitis), the goal of which is to form the basis for future uveitis research.

Indexed as

epidemiologyinflammationuveitis

Identifiers

PMID36164924
PMCPMC10040472

What OpenQuestion holds

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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.