Evidence map›Paper›PMID 39189520›Full record

ArticleAnnals of medicine2024

Exploring and identifying the imaging biomarkers for predicting anti-VEGF treatment response in polypoidal choroidal vasculopathy: a prospective multicenter study.

Wenfei Zhang, Xingwang Gu, Bing Li, Shulin Liu, Jingyuan Yang, Yuelin Wang, Shiyu Cheng, Lin Lv, Zhiqing Li, Linna Lu and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

22 authors.

Wenfei ZhangDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Xingwang GuDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Bing LiDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Shulin LiuChongqing Key Laboratory of Ophthalmology and Chongqing Eye Institute, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jingyuan YangDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Yuelin WangDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0001-9843-6280
Shiyu ChengDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Lin LvZhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China.
Zhiqing LiDepartment of Medical Retinal and Neuro-Ophthalmology, Tianjin Medical University Eye Hospital, Tianjin, China.
Linna LuDepartment of Ophthalmology, Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jinghong ZhangDepartment of Ophthalmology, The No. 4 Hospital (Eye hospital) of Zhangjiakou, Zhangjiakou, China.
Qi ZengDepartment of Ophthalmology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, China.
Zefeng XiaoDepartment of Ophthalmology, Wuhan Hospital of Integrated Chinese and Western Medicine, Wuhan, China.
Guangfeng LiuDepartment of Ophthalmology, Peking University International Hospital, Beijing, China.
Cai XinDepartment of Ophthalmology, Shaoguan Aier Eye Hospital, Shaoguan, China.
Tianyu ZhangDepartment of Ophthalmology, BaoTou Eighth Hospital, Baotou, China.
Yingdan SuDepartment of Ophthalmology, Foshan Fosun Chancheng Hospital, Foshan, China.
Minyu ChenDepartment of Ophthalmology, The Tenth Affiliated Hospital of Southern Medical, University (Dongguan People's Hospital), Dongguan, China.
Chengshu WangDepartment of Ophthalmology, Guannan County First People's Hospital, Taizhou, China.
Yonkang CunDepartment of Ophthalmology, Dehong People's Hospital of Yunnan Province, Dehong, China.
Xinyu ZhaoDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Youxin ChenDepartment of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.ORCID 0000-0002-7231-5058

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolypoidal choroidal vasculopathy (PCV) is a hemorrhagic fundus disease that can lead to permanent vision loss. Predicting the treatment response to anti-VEGF monotherapy in PCV is consistently challenging. We aimed to conduct a prospective multicenter study to explore and identify the imaging biomarkers for predicting the anti-VEGF treatment response in PCV patients, establish predictive model, and undergo multicenter validation.

methodsThis prospective multicenter study utilized clinical characteristics and images of treatment naïve PCV patients from 15 ophthalmic centers nationwide to screen biomarkers, develop model, and validate its performance. Patients from Peking Union Medical College Hospital were randomly divided into a training set and an internal validation set. A nomogram was established by univariate, LASSO regression, and multivariate regression analysis. Patients from the other 14 centers served as an external test set. Area under the curve (AUC), sensitivity, specificity, and accuracy were calculated. Decision curve analysis (DCA) and clinical impact curve (CIC) were utilized to evaluate the practical utility in clinical decision-making.

findingsThe eye distribution for the training set, internal validation set, and external test set were 66, 31, and 71, respectively. The 'Good responder' exhibited a thinner subfoveal choroidal thickness (SFCT) (230.67 ± 61.96

interpretationThinner SFCT and lower CVI can serve as imaging biomarkers for predicting good treatment response to anti-VEGF monotherapy in PCV patients. The nomogram based on these biomarkers exhibited satisfactory performances.

Indexed as

Angiogenesis InhibitorsBiomarkersTomography, Optical CoherenceVascular Endothelial Growth Factor AAgedChoroidChoroidal NeovascularizationChoroid DiseasesFemaleFluorescein AngiographyHumansMaleMiddle AgedNomogramsPolypoidal Choroidal VasculopathyPolypsAngiogenesis InhibitorsBiomarkersVascular Endothelial Growth Factor Aanti-VEGFchoroidal vascularity indexnomogramPolypoidal choroidal vasculopathysubfoveal choroidal thickness

Identifiers

PMID39189520
PMCPMC11351360

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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.