Evidence map›Paper›PMID 29600118›Full record

ArticleTranslational vision science & technology2018

Automated Method of Grading Vitreous Haze in Patients With Uveitis for Clinical Trials.

Christopher L Passaglia, Tia Arvaneh, Erin Greenberg, David Richards, Brian Madow

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational vision science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03889860 (Objective Choroidal Thickness Measurements During Intraocular Inflammation in Uveitis Using Optical Coherence Tomography), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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.

NCT03889860 unknown statusnot on this map

Objective Choroidal Thickness Measurements During Intraocular Inflammation in Uveitis Using Optical Coherence Tomography

TypeobservationalSponsorWroclaw Medical UniversityRan2018 to 2026Enrolled100ConditionsUveitis
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

5 authors.

Christopher L PassagliaDepartment of Chemical and Biomedical Engineering, University of South Florida, Tampa, FL, USA.
Tia ArvanehDepartment of Chemical and Biomedical Engineering, University of South Florida, Tampa, FL, USA.
Erin GreenbergDepartment of Ophthalmology, University of South Florida, Tampa, FL, USA.
David RichardsDepartment of Ophthalmology, University of South Florida, Tampa, FL, USA.
Brian MadowDepartment of Ophthalmology, University of South Florida, Tampa, FL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUveitis is associated with accumulation of exudate in the vitreous, which reduces fundus visibility. The condition is assessed in patients by subjectively matching fundus photographs to a six-level (NIH) or nine-level (Miami) haze scale. This study aimed to develop an objective method of assessing vitreous haze.

methodsAn image-processing algorithm was designed that quantifies vitreous haze via high-pass filtering, entropy analysis, and power spectrum integration. The algorithm was refined using nine published photographs that represent incremental levels of fundus blur and applied without further refinement to 120 random fundus photographs from a uveitis image library. Computed scores were compared against the grades of two trained readers of vitreous haze and against acutance, a generic measure of image clarity, using Cohen's

resultsExact agreement between algorithm scores and reader grades was substantial for both NIH and Miami scales (

conclusionsThe computer algorithm produces a quantitative measure of vitreous haze that correlates strongly with the perception of expert graders. TRANSLATIONAL RELEVANCE: The work offers a rapid, unbiased, standardized means of assessing vitreous haze for clinical and telemedical monitoring of uveitis patients.

Indexed as

automated gradingimage processinginflammationuveitisvitreous haze

Identifiers

PMID29600118
PMCPMC5868860

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.