Evidence map›Paper›PMID 31833999›Full record

ReviewEye & contact lens2020

A Review of Imaging Biomarkers of the Ocular Surface.

William W Binotti, Betul Bayraktutar, M Cuneyt Ozmen, Stephanie M Cox, Pedram Hamrah

Open access · greenAbstract readReview
In one paragraph

Review in Eye & contact lens, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
5.3field-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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Grading Scales of Conjunctival Inflammation.Diagnostics (Basel, Switzerland) · 2025
    Review
  4. Observational
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Corneal Epithelial Changes in Diabetic Patients: A Review.International journal of molecular sciences · 2024
    Review
  13. Article
  14. Enhanced adipose-derived stem cells with IGF-1-modified mRNA promote wound healing following corneal injury.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  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 at 2 institutions in 1 country.

William W BinottiDepartment of Ophthalmology (W.W.B., B.B., M.C.O., S.M.C., P.H.), Center for Translational Ocular Immunology, Tufts Medical Center, Tufts University School of Medicine, Boston, MA; and Cornea Service (W.W.B., B.B., M.C.O., S.M.C., P.H.), New England Eye Center, Tufts Medical Center, Tufts University School of Medicine, Boston, MA.
Betul Bayraktutar
M Cuneyt Ozmen
Stephanie M Cox
Pedram Hamrah
Tufts University · USTufts Medical Center · US

Funding

Mechanisms of Corneal Neuro-Immune CrosstalkR01EY029602 · NEI · UNIVERSITY OF SOUTH FLORIDA · PI Pedram Hamrah · 2018 to 2026
$3.6M
Discovery of the Biomarker Signature for Neuropathic Corneal PainR61NS113341 · NINDS · TUFTS MEDICAL CENTER · PI HAMRAH, PEDRAM · 2019 to 2019
$2.1M
NEI NIH HHS R01 EY029602NINDS NIH HHS R61 NS113341
6 · The paper itself

Abstract

A biomarker is a "characteristic that is measured as an indicator of normal biological processes, pathogenic processes, or responses to an exposure or intervention, including therapeutic interventions." Recently, calls for biomarkers for ocular surface diseases have increased, and advancements in imaging technologies have aided in allowing imaging biomarkers to serve as a potential solution for this need. This review focuses on the state of imaging biomarkers for ocular surface diseases, specifically non-invasive tear break-up time (NIBUT), tear meniscus measurement and corneal epithelial thickness with anterior segment optical coherence tomography (OCT), meibomian gland morphology with infrared meibography and in vivo confocal microscopy (IVCM), ocular redness with grading scales, and cellular corneal immune cells and nerve assessment by IVCM. Extensive literature review was performed for analytical and clinical validation that currently exists for potential imaging biomarkers. Our summary suggests that the reported analytical and clinical validation state for potential imaging biomarkers is broad, with some having good to excellent intra- and intergrader agreement to date. Examples of these include NIBUT for dry eye disease, ocular redness grading scales, and detection of corneal immune cells by IVCM for grading and monitoring inflammation. Further examples are nerve assessment by IVCM for monitoring severity of diabetes mellitus and neurotrophic keratitis, and corneal epithelial thickness assessment with anterior segment OCT for the diagnosis of early keratoconus. However, additional analytical validation for these biomarkers is required before clinical application as a biomarker.

Indexed as

Anterior Eye SegmentBiomarkersDry Eye SyndromesHumansMeibomian GlandsMicroscopy, ConfocalTearsTomography, Optical CoherenceBiomarkers

Identifiers

PMID31833999
PMCPMC7354708
OpenAlexW2995512130

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.