Evidence map›Paper›PMID 33845011›Full record

ArticleAmerican journal of ophthalmology2021

Classification Criteria for Punctate Inner Choroiditis.

Standardization of Uveitis Nomenclature (SUN) Working Group

Open access · greenAbstract read
In one paragraph

Article in American journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.7field-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

19 citing papers in PubMed, 49 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Atypical choroidal neovascular membrane.American journal of ophthalmology case reports · 2024
    Article
  7. Punctate Inner Choroiditis.Advances in ophthalmology and optometry · 2024
    Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. The standardisation of uveitis nomenclature (SUN) project.Clinical & experimental ophthalmology · 2022
    Review
  14. [Development of classification criteria for uveitis by the standardization of uveitis nomenclature (SUN) working group].Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft · 2021
    Review
  15. Article
  16. Development of Classification Criteria for the Uveitides.American journal of ophthalmology · 2021
    Article
  17. Article
  18. Article
  19. Review
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

1 author.

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

purposeThe purpose of this study was to determine classification criteria for punctate inner choroiditis (PIC).

designMachine learning of cases with PIC and 8 other posterior uveitides.

methodsCases of posterior uveitides were collected in an informatics-designed preliminary database, and a final database was constructed of cases achieving supermajority agreement on diagnosis by using formal consensus techniques. Cases were split into a training set and a validation set. Machine learning using multinomial logistic regression was used in the training set to determine a parsimonious set of criteria that minimized the misclassification rate among the posterior uveitides. The resulting criteria were evaluated in the validation set.

resultsA total of 1,068 cases of posterior uveitides, including 144 cases of PIC, were evaluated by machine learning. Key criteria for PIC included: 1) "punctate"-appearing choroidal spots <250 µm in diameter; 2) absent to minimal anterior chamber and vitreous inflammation; and 3) involvement of the posterior pole with or without mid-periphery. Overall accuracy for posterior uveitides was 93.9% in the training set and 98.0% (95% confidence interval: 94.3-99.3) in the validation set. The misclassification rates for PIC were 15% in the training set and 9% in the validation set.

conclusionsThe criteria for PIC had a reasonably low misclassification rate and appeared to perform sufficiently well for use in clinical and translational research.

Indexed as

Machine LearningVisual AcuityAdultChoroidChoroiditisFemaleFluorescein AngiographyFundus OculiHumansMale

Identifiers

PMID33845011
PMCPMC8675391
OpenAlexW3154082528

What OpenQuestion holds

Textmetadata
LicenceTDM
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.