Evidence map›Paper›PMID 32774902›Full record

ReviewJournal of ophthalmology2020

Objective Imaging Diagnostics for Dry Eye Disease.

Sang Beom Han, Yu-Chi Liu, Karim Mohamed-Noriega, Louis Tong, Jodhbir S Mehta

Abstract readReview
In one paragraph

Review in Journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Review
  5. Review
  6. Imaging Approaches for the Diagnosis of Dry Eye: A Review.Diagnostics (Basel, Switzerland) · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Animal Models in Eye Research: Focus on Corneal Pathologies.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Role ofIndian journal of ophthalmology · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. Commentary: Evaluating ocular surface disease in glaucoma.Indian journal of ophthalmology · 2022
    Article
  18. Article
  19. Article
  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

5 authors.

Sang Beom HanDepartment of Ophthalmology, Kangwon National University School of Medicine, Kangwon National University Hospital, Chuncheon, Republic of Korea.ORCID https://orcid.org/0000-0003-4757-1575
Yu-Chi LiuSingapore National Eye Centre, Singapore.ORCID https://orcid.org/0000-0001-5408-0382
Karim Mohamed-NoriegaDepartment of Ophthalmology, University Hospital, Faculty of Medicine, Autonomous University of Nuevo Leon, Monterrey, Mexico.ORCID https://orcid.org/0000-0001-8252-5924
Louis TongSingapore National Eye Centre, Singapore.ORCID https://orcid.org/0000-0002-3986-6552
Jodhbir S MehtaSingapore National Eye Centre, Singapore.ORCID https://orcid.org/0000-0001-6362-4898

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traditional diagnostic tests for dry eye disease (DED), such as fluorescein tear film break-up time and the Schirmer test, are often associated with poor reproducibility and reliability, which make the diagnosis, follow-up, and management of the disease challenging. Advances in ocular imaging technology enables objective and reproducible measurement of changes in the ocular surface, tear film, and optical quality associated with DED. In this review, the authors will discuss the application of various imaging techniques, such as, noninvasive tear break-up time, anterior segment optical coherence tomography, in vivo confocal microscopy, meibography, interferometry, aberrometry, thermometry, and tear film imager in DED. Many studies have shown these devices to correlate with clinical symptoms and signs of DED, suggesting the potential of these imaging modalities as alternative tests for diagnosis and monitoring of the condition.

Identifiers

PMID32774902
PMCPMC7396031

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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.