ArticleScientific reports2024
Evaluation of lymphotoxin-alpha in pterygium and diagnostic value in active and inactive pterygium states.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- 3% diquafosol sodium combined with 0.1% fluorometholone for postoperative dry eye in pterygium patients with preoperative tear deficiency: a pilot retrospective study.Frontiers in medicine · 2026Article
- Targeting eRNA-Producing Super-Enhancers Regulates TNFα Expression and Mitigates Chronic Inflammation in Mice and Patient-Derived Immune Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Tear IgE point-of-care testing for differentiating type I and type IV allergic conjunctivitis.Frontiers in medicine · 2025Article
- Association of serum complement C3 level with disease severity in primary pterygium.Frontiers in medicine · 2025Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To explore the correlation between tear LT-a, pterygium status, and dry eye indicators. We established a diagnostic model to evaluate active pterygium. A retrospective study was conducted between June 2021 and June 2023 on 172 patients, comprising 108 men and 64 women. The study analyzed LT-a and various ocular parameters in all participants. The data was collected using Excel software and analyzed using SPSS 25.0 statistical software and Medcalc. We made a nomogram diagnostic model to different diagnosed the state of pterygium. This study found that pterygium has progressive eye surface damage during the active state. There was no significant difference in dry eye indicators between the two groups. However, the concentration of LT-a in the active group was significantly lower than that in the inactive group (P < 0.001). We observed that increased pterygium grade corresponded to a worse ocular surface condition. In addition, LT-a was significantly positively correlated with disease duration, but negatively correlated with age, pterygium size, active pterygium state, and LLT value. The optimal intercept value for evaluating active pterygium in Lt-a was ≤ 0.49 dg/ml. We screened three variables for evaluating active pterygium through Single and Multiple regression analysis: LT-a grading, pterygium size, and congestion score. Finally, we made a reliable diagnostic nomogram model. Pterygium development triggers immune inflammation. Our model based on LT-a identifies active pterygium for personalized treatment options and new research directions.
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Registered trials
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