Evidence map›Paper›PMID 34487223›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2022

Validation of a new objective method to assess lipid layer thickness without the need of an interferometer.

José Vicente García-Marqués, Cristian Talens-Estarelles, Santiago García-Lázaro, Alejandro Cerviño

Abstract read
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of CelligentDiagnostics (Basel, Switzerland) · 2023
    Article
  4. Article
  5. 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

4 authors.

José Vicente García-MarquésDepartment of Optics and Optometry and Vision Sciences, University of Valencia, C/Dr Moliner, 50, 46100, Burjassot, Valencia, Spain.
Cristian Talens-EstarellesDepartment of Optics and Optometry and Vision Sciences, University of Valencia, C/Dr Moliner, 50, 46100, Burjassot, Valencia, Spain.
Santiago García-LázaroDepartment of Optics and Optometry and Vision Sciences, University of Valencia, C/Dr Moliner, 50, 46100, Burjassot, Valencia, Spain.
Alejandro CerviñoDepartment of Optics and Optometry and Vision Sciences, University of Valencia, C/Dr Moliner, 50, 46100, Burjassot, Valencia, Spain. alejandro.cervino@uv.es.ORCID http://orcid.org/0000-0001-8014-3279

Funding

Ministerio de Educación, Cultura y Deporte "Formación de Profesorado Universitario" Scholarship FPU17/03665Universitat de València "Atracció de Talent" scholarship [UV-INV-PREDOC18F2-886420]
6 · The paper itself

Abstract

purposeThis study aimed to develop and validate new metrics to objectively assess the lipid layer thickness (LLT) through the analysis of grey intensity values obtained from the Placido disk pattern reflected onto the tear film.

methodsOcular surface parameters were measured using Oculus Keratograph 5 M in 94 healthy volunteers (43.8 ± 26.8 years). Subjects' LLT was subjectively classified into 4 groups using an interferometry-based grading scale. New metrics based on the intensity of the Placido disk images were calculated and compared between groups. The repeatability of the new metrics and their diagnostic ability was analysed through receiver operating characteristics (ROC) curves. The level of agreement between the new objective tool and the existing subjective classification scale was analysed by means accuracy, weighted Kappa index and F-measure.

resultsMean pixel intensity, median pixel intensity and relative energy at 5.33 s after blinking achieved the highest performance, with a correlation with LLT between r = 0.655 and 0.674 (p < 0.001), sensitivity between 0.92 and 0.94, specificity between 0.79 and 0.81, area under the ROC curve between 0.89 and 0.91, accuracy between 0.76 and 0.77, weighted Kappa index of 0.77 and F-measure between 0.86 and 0.87.

conclusionThe analysis of grey intensity values in videokeratography can be used as an objective tool to assess LLT. These new metrics could be included in a battery of clinical tests as an easy, repeatable, objective and accessible method to improve the detection and monitoring of dry eye disease and meibomian gland dysfunction.

Indexed as

Dry Eye SyndromesMeibomian Gland DysfunctionHumansLipidsMeibomian GlandsTearsLipidsDry eye diseaseHigh-speed videokeratoscopyImage processingLipid layer thicknessMeibomian gland dysfunctionTear film

Identifiers

PMID34487223
PMCPMC8786769

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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.