Evidence map›Paper›PMID 31209694›Full record

ArticleInternational ophthalmology2019

Role of in vivo confocal microscopy in the diagnosis of infectious keratitis.

Ye Elaine Wang, Tudor Cosmin Tepelus, Laura A Vickers, Elmira Baghdasaryan, Wei Gui, Ping Huang, John A Irvine, SriniVas Sadda, Hugo Y Hsu, Olivia L Lee

Abstract read
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In one paragraph

Article in International ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Orthokeratology lens-relatedThe Journal of international medical research · 2021
    Pooled it
  2. Article
  3. Article
  4. Bibliometric analysis and data visualization on drug delivery systems for infectious keratitis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Article
  5. Review
  6. Pathogens (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. New Frontiers inBiology · 2023
    Review
  14. Review
  15. Diagnosis ofDiagnostics (Basel, Switzerland) · 2023
    Review
  16. Review
  17. Immunity to pathogenic fungi in the eye.Seminars in immunology · 2023
    Review
  18. Article
  19. Review
  20. Modern Technologies in Diagnosis of Fungal Keratitis (Review).Sovremennye tekhnologii v meditsine · 2023
    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

10 authors at 2 institutions in 1 country.

Ye Elaine WangDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
Tudor Cosmin TepelusDoheny Imaging Reading Center, Doheny Eye Institute, UCLA, 100 Stein Plaza, Los Angeles, CA, 90095, USA.
Laura A VickersDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
Elmira BaghdasaryanDoheny Imaging Reading Center, Doheny Eye Institute, UCLA, 100 Stein Plaza, Los Angeles, CA, 90095, USA.
Wei GuiDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
Ping HuangDoheny Imaging Reading Center, Doheny Eye Institute, UCLA, 100 Stein Plaza, Los Angeles, CA, 90095, USA.
John A IrvineDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
SriniVas SaddaDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
Hugo Y HsuDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA.
Olivia L LeeDepartment of Ophthalmology, UCLA, Los Angeles, CA, USA. olee@jsei.ucla.edu.
Doheny Eye Institute · USHarvard Eye Associates · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the utility of in vivo confocal microscopy (IVCM) in the diagnosis of infectious keratitis (IK).

methodsRetrospective chart review of 46 patients with a final diagnosis of IK were included in the study. All patients received IVCM corneal imaging using the Heidelberg Retinal Tomography III system. All available scans were randomized and analyzed in a masked fashion. Sensitivity and specificity of IVCM in diagnosing bacterial keratitis (BK), Acanthamoeba keratitis (AK), fungal keratitis (FK), and HSV viral keratitis (VK) were assessed.

resultsThe pooled sensitivity and specificity of IVCM in identifying atypical IK (AK and FK cases combined) were 85.3% (95% CI 68.2-94.5%) and 100% (95% CI 74.7-100%), respectively. The sensitivity and specificity of IVCM in identifying BK were 66.7% (95% CI 35.4-88.7%) and 89.2% (95% CI 73.4-96.5%), respectively. The sensitivity and specificity of IVCM in identifying VK were 100% (95% CI 46.3-100%) and 93.2% (95% CI 80.3-98.2%). Additionally, IVCM was able to make the correct diagnosis in 8 out of the 11 atypical keratitis cases misdiagnosed clinically. In the AK subgroup, IVCM was more accurate than clinical assessment (16 vs. 11). In the FK subgroup, IVCM were as accurate as clinical assessment, but did correct one misdiagnosed cases by identfying fungal hyphae.

conclusionIVCM is an non-invasive imaging modality that can rapidly and accurately diagnose IK even for experienced corneal specialists. In complex cases of polymicrobial infection, IVCM may guide the correct clinical diagnosis and initiation of the appropriate treatment.

Indexed as

Microscopy, ConfocalAcanthamoeba KeratitisAdultAgedCorneal UlcerEye Infections, BacterialEye Infections, FungalEye Infections, ViralFemaleHumansKeratitisMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityAcanthamoeba keratitisFungal keratitisInfectious keratitisIn vivo confocal microscopyMixed-organism infectionSensitivity and specificity

Identifiers

PMID31209694
OpenAlexW2949239745

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.