Evidence map›Paper›PMID 42045866›Full record

ArticleBMC ophthalmology2026

Retinal hemodynamics and oxygen metabolism: potent inflammatory indicators for thyroid eye disease.

Youhan Ao, Shengshu Wang, Jiaqi Tang, Yue Li, Gaojing Jing, Liyuan Rong, Mingqian Yu, Zhengya Li, Jun Liu, Yueyue Li and 8 more

Abstract 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. Not yet cited 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

18 authors.

Youhan AoSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Shengshu WangInstitute of Geriatrics, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatrics Diseases, 2nd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Jiaqi TangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Yue LiSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Gaojing JingSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Liyuan RongSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Mingqian YuSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Zhengya LiSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Jun LiuSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Yueyue LiSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Rui MaSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Xin KangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Qinghua YangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Bing NieSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Qiushi RenDepartment of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
Xinji YangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China.
Wei WuSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China. wuwei1@301hospital.com.cn.
Liqiang WangSenior Department of Ophthalmology, 3rd Medical Center of Chinese PLA General Hospital, Beijing, 100080, China. liqiangw@301hospital.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo determine whether retinal vascular function parameters can serve as quantitative and sensitive indicators to distinguish active from inactive thyroid eye disease (TED).

methodsFifty two patients with TED (80 eyes) were recruited in our cohort study. Detection of retinal vascular functions included retinal hemodynamics (blood flow velocity, vessel diameter, blood flow) and oxygen metabolism (oxygen saturation, arteriovenous oxygen saturation difference, oxygen concentration, arteriovenous oxygen concentration difference, oxygen delivery, oxygen metabolism, oxygen extraction fraction). Linear mixed-effects models accounting for inter-eye correlation were used to compare active and inactive TED. Discriminative performance was evaluated using receiver Operating Characteristic analysis.

resultsActive TED exhibited significantly higher arterial oxygen saturation (β = 4.74, 95% CI: 1.20–8.28, p = 0.010), venous oxygen saturation (β = 6.83, 95% CI: 2.53–11.12, p = 0.002), arterial oxygen content (β = 0.89, 95% CI: 0.19–1.58, p = 0.014), venous oxygen content (β = 1.22, 95% CI: 0.43–2.01, p = 0.003), and oxygen delivery (β = 1.19, 95% CI: 0.07–2.31, p = 0.038) compared to inactive TED. No significant differences were observed in retinal hemodynamic parameters. Among these individual parameters, DO2 and CO2A demonstrated the highest discriminative efficacy for assessing inflammatory activity in TED, with an AUC of 0.761 and 0.758, respectively. A multivariate model incorporating age, sex, smoking status, and CO2A achieved an AUC of 0.833 (95% CI: 0.711–0.955), with favorable calibration and robustness confirmed by bootstrap validation.

conclusionsAlterations in retinal vascular functional parameters between active and inactive TED were more substantial than structural changes. This study demonstrates for the first time significant alterations in retinal oxygen metabolism in active TED, characterized by elevated oxygen saturation, content, and delivery. These findings suggest retinal oxygen metabolism is strongly associated with disease activity and represents a promising quantitative marker for disease monitoring.

Indexed as

Graves OphthalmopathyHemodynamicsOxygenRetinal VesselsAdultBlood Flow VelocityFemaleHumansMaleMiddle AgedOxygen ConsumptionOxygen SaturationRegional Blood FlowROC CurveTomography, Optical CoherenceOxygenRetinal hemodynamicsRetinal multimodal imagingRetinal oxygen metabolismThyroid eye disease

Identifiers

PMID42045866
PMCPMC13261827

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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.