Evidence map›Paper›PMID 41159637›Full record

ArticleTranslational vision science & technology2025

Novel Ocular Thermography Metrics for Dry Eye Screening.

Maryam Moghadas, Amir M Moezzi, Kaoutar Laachiri, Mouad Lamrani, Jill Woods, Lyndon Jones, William Ngo

Abstract read
In one paragraph

Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Maryam MoghadasMenicon R&D Innovation Centre, Menicon Co., Ltd., Nagoya, Japan, (Geneva branch, Switzerland).
Amir M MoezziCentre for Ocular Research & Education (CORE), School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada.
Kaoutar LaachiriUniversity Abdelmalek Essadi, Faculty of Sciences and Technologies, Tangier, Morocco.
Mouad LamraniMenicon R&D Innovation Centre, Menicon Co., Ltd., Nagoya, Japan, (Geneva branch, Switzerland).
Jill WoodsCentre for Ocular Research & Education (CORE), School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada.
Lyndon JonesCentre for Ocular Research & Education (CORE), School of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada.
William NgoSchool of Optometry and Vision Science, University of Waterloo, Waterloo, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study investigated the efficacy of automated ocular thermography metrics for the screening of dry eye disease (DED). Methods: This was a prospective study that enrolled 20 participants with DED, sex- and age-matched to 20 non-DED controls. Ocular Surface Disease Index (OSDI), Dry Eye Questionnaire-5 (DEQ5), noninvasive tear-break-up time (NITBUT), tear meniscus height (TMH), meibomian gland dysfunction (MGD) score, and corneal staining were measured in a screening visit. The DED group was defined as: OSDI score of ≥13 or DEQ-5 score of ≥6, and DED signs in at least one eye (corneal/conjunctival/lid margin staining, NITBUT <5 seconds, tear film osmolarity ≥308 miliosmoles [mOsm]/L). Thermography recording of the ocular surface (natural blinking over a period of 30 seconds) was conducted the next day, and the thermal cooling rate and thermal interblink interval (IBI) were derived. Results: Thermal IBI was significantly shorter in the DED group compared to the non-DED group (P = 0.034). The thermal cooling rate was significantly faster in the DED group (P = 0.047). Thermal IBI significantly correlated with DEQ5 (r = -0.37, P = 0.025) and OSDI (r = -0.37, P = 0.026). The thermal cooling rate significantly correlated with DEQ5 (r = -0.39, P = 0.022) and OSDI (r = -0.36, P = 0.036). The best discrimination was achieved by combining the thermal cooling rate and TMH, with an area under the curve (AUC) = 0.80 (sensitivity = 0.87 and specificity = 0.63). Conclusions: The thermal IBI and thermal cooling rate were significant predictors of DED, suggesting the utility of ocular thermography for DED screening. Translational Relevance: Automated ocular thermography may help to assess ocular dryness in a noninvasive, quantifiable, and real-time manner.

Indexed as

Dry Eye SyndromesTearsThermographyAdultAgedBlinkingFemaleHumansMaleMiddle AgedProspective StudiesSurveys and Questionnaires

Identifiers

PMID41159637
PMCPMC12577767

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.