Evidence map›Paper›PMID 42375192›Full record

ArticleFrontiers in medicine2026

Precision treatment of chalazion based on AI-driven risk stratification: a prospective study of triamcinolone acetonide combined with intense pulsed light therapy.

Yanlin Zhong, Yiming Hu, Yuan Lin, Huping Wu

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

4 authors.

Yanlin Zhong *School of Medicine, Xiamen Eye Center and Eye Institute of Xiamen University, Xiamen, China.
Yiming Hu *Ophthalmic Center, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Yuan LinSchool of Medicine, Xiamen Eye Center and Eye Institute of Xiamen University, Xiamen, China.
Huping WuSchool of Medicine, Xiamen Eye Center and Eye Institute of Xiamen University, Xiamen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the rates of chalazion recurrence following intralesional triamcinolone acetonide (TA), intense pulsed light (IPL), or combined TA + IPL therapy and to validate an AI-enhanced risk stratification strategy. Methods: This prospective, observational study enrolled 366 patients. To eliminate immortal time bias and circular reasoning, LASSO-Cox regression with 10-fold cross-validation was employed to identify purely baseline predictors: age, Demodex infection, chronicity, and meibomian gland dysfunction (MGD). These baseline predictors were integrated into a clinical Cox proportional hazards model and a survival-based XGBoost model, which were subsequently merged into a hybrid framework. Performance was assessed via time-dependent area under the curve (AUC), net reclassification improvement (NRI), Kaplan-Meier analysis, and decision curve analysis (DCA). Results: The 3-month complete resolution rate was significantly higher in the combined TA + IPL group (95.2%) compared to the TA-only (90.8%) and IPL-only (79.4%) groups ( Conclusion: A hybrid AI-clinical model significantly improved the prediction of chalazion recurrence. Combined TA + IPL therapy demonstrated superior efficacy, particularly for high-risk patients. This framework provides a robust decision-support tool for precision management and the systematic reduction of chalazion recurrence.

Indexed as

artificial intelligencechalazionrecurrence predictionrisk stratificationXGBoost

Identifiers

PMID42375192
PMCPMC13310774

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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.