Evidence map›Paper›PMID 42324318›Full record

ArticleCommunications medicine2026

Indocyanine green angiography and machine learning analysis determine topographic distribution of peripheral hard drusen in a Chinese cohort.

Jiaxin Pu, Yuying Ji, Miaoling Li, Xiongze Zhang, Chengguo Zuo, Xuenan Zhuang, Xinlei Hao, Guiqin He, Yuhong Gan, Yongyue Su and 5 more

Abstract read
In one paragraph

Article in Communications 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.

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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

15 authors.

Jiaxin PuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Yuying JiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Miaoling LiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Xiongze ZhangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Chengguo ZuoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Xuenan ZhuangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Xinlei HaoState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Guiqin HeState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Yuhong GanState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Yongyue SuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Yining ZhangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Ruijun YangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Xuelin ChenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China.
Lan MiState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. superlanmi@sina.com.
Feng WenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science. Guangdong Provincial Clinical Research Center for Ocular Diseases, Guangzhou, China. wenfeng208@foxmail.com.ORCID http://orcid.org/0000-0003-3319-4051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHard drusen appear as hyperfluorescent dots on indocyanine green angiography (ICGA) due to their high phospholipid content. This study aims to explore the distribution of peripheral hard drusen across age groups and retinal regions, and their correlation with macular pathology including hard drusen, soft drusen, and progression to neovascular age-related macular degeneration (nAMD).

methodsA hospital-based retrospective study was conducted at Zhongshan Ophthalmic Center. Patients who underwent ICGA over a five-year period were included and categorised into seven age groups. Hard drusen were quantified across nine retinal quadrants using the Trainable Weka Segmentation machine learning plugin. A subgroup of patients underwent imaging follow-up to assess progression to nAMD.

resultsHere we show, across 1562 normal eyes (14,058 ICGA images) quantified using a validated machine learning model (Dice coefficient: 0.697; sensitivity: 82.93%; ICC: 0.944), that age 50 represents a critical threshold for drusen accumulation, with significant increases observed across all nine quadrants. The nasal quadrants demonstrate earlier and more prominent drusen accumulation compared to the temporal quadrants (P < 0.001 across ages 20-69 years). Notably, the central superior quadrant shows consistent associations with macular hard drusen counts (Stdβ = 0.104, P = 0.010), soft drusen volume (ρ = 0.657, P = 0.020), and progression to nAMD (OR = 1.324, P = 0.040).

conclusionsPeripheral hard drusen accumulate preferentially in the nasal quadrants and increase markedly after age 50. Comprehensive peripheral retinal evaluation during ICGA examination may hold potential clinical value for AMD monitoring, pending further prospective validation.

Identifiers

PMID42324318
PMCPMC13645735

What Socratic holds

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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 Socratic graph.