Evidence map›Paper›PMID 42332638›Full record

ArticleBMC ophthalmology2026

Clinically accessible eye-tracking in thyroid-associated ophthalmopathy: exploratory classification modeling and gaze allocation to disease-related periocular images.

Chunhui Yang, Ya Shen, Jian Song, Yuqing Chen, Chengcheng Zeng, Ruili Wei

Registry-linked trialAbstract read
In one paragraph

Article in BMC ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07381413 (Eye Tracking Study on Eye Movement Function and Visual Attention Patterns in Patients With Thyroid-Associated Ophthalmopathy), which is not on this 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

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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.

NCT07381413 recruitingnot on this map

Eye Tracking Study on Eye Movement Function and Visual Attention Patterns in Patients With Thyroid-Associated Ophthalmopathy

TypeobservationalSponsorShanghai Changzheng HospitalRan2026 to 2029Enrolled100ConditionsThyroid Associated Ophthalmopathies, Eye TrackingArmsNon-invasive Eye Tracking Assessment
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

6 authors.

Chunhui Yang *Department of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Ya Shen *Department of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Jian Song *Department of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China.
Yuqing ChenDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China. yuqingchan@126.com.
Chengcheng ZengDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China. zengcc_deng@163.com.
Ruili WeiDepartment of Ophthalmology, Changzheng Hospital of Naval Medical University, Shanghai, China. ruiliwei@smmu.edu.cn.ORCID https://orcid.org/0000-0003-2696-6586

Funding

National Natural Science Foundation of China 82371100
6 · The paper itself

Abstract

backgroundThyroid-associated ophthalmopathy (TAO) is an autoimmune orbital disease that may cause ocular motility abnormalities, altered periocular appearance, and psychosocial burden. However, clinically practical tools for early recognition and objective functional assessment remain limited. This study aimed to evaluate whether clinically accessible eye-tracking could support auxiliary classification of thyroid-associated ophthalmopathy and characterize visual attention patterns toward disease-related periocular images.

methodsIn this cross-sectional study, 229 adults from a tertiary ophthalmology center were enrolled, including 181 patients with TAO and 48 healthy controls. Eye movements were recorded using a clinically accessible eye-tracking system during fixation, smooth pursuit with nine-grid spatial analysis, and image-viewing tasks. Random forest models were developed using nine-grid smooth-pursuit gaze-distribution features. A primary model included eye-tracking features plus age and sex, while a secondary model assessed eye-tracking features after demographic adjustment. Group differences in gaze metrics and region-of-interest allocation were analyzed using regression-based methods.

resultsFixation stability did not differ significantly between groups, but patients with TAO showed increased gaze dispersion. In smooth pursuit, the primary model achieved an AUC of 0.903, and the secondary model achieved an AUC of 0.778. In image-viewing tasks, gaze allocation differed between groups: compared with controls, patients with TAO paid less attention to more obvious pathological periocular features in earlier-stage images and more attention to near-recovery appearances in later-stage images. Distinct viewing patterns were also observed across preoperative and postoperative images from different surgical categories.

conclusionsClinically accessible eye-tracking may provide behavioral markers for auxiliary TAO classification and reveal altered visual attention to TAO-related periocular appearance. Further validation in larger, independent cohorts is needed.

trial registrationClinicalTrials.gov, NCT07381413. Prospectively registered.

Indexed as

Eye MovementsEye-Tracking TechnologyFixation, OcularGraves OphthalmopathyAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedPursuit, SmoothArtificial intelligenceEye-trackingMachine learningSocial avoidanceThyroid-associated ophthalmopathy

Identifiers

PMID42332638
PMCPMC13543637

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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.