ArticlePhenomics (Cham, Switzerland)2025
Protocol for Retinal Imaging and Extraction of Imaging-Derived Phenotypes from the Chinese Human Phenome Project.
Article in Phenomics (Cham, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- The multidimensional roles and mechanisms of exercise intervention in pediatric oncology.Frontiers in immunology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retinal imaging is pivotal in the evaluation of ocular and systemic health, presenting significant promise for extensive population studies. However, the lack of standardized and automated techniques for extracting Imaging-Derived Phenotypes (IDPs) from retinal images is a major impediment. To counteract this challenge, the Chinese Human Phenome Project (CHPP) has developed a comprehensive protocol that includes Quality Control (QC), preprocessing, and automated or semi-automated extraction of IDPs from fundus photography and Optical Coherence Tomography (OCT) images. This protocol incorporates Artificial Intelligence (AI)-based methods to achieve accurate and efficient IDP extraction, facilitating standardized analysis of large-scale populations. We hope that this Standard Operating Procedure (SOP) guideline will impart valuable insights for ophthalmology-related disciplines and provides support for future research endeavors utilizing retinal imaging data. Supplementary Information: The online version contains supplementary material available at 10.1007/s43657-023-00155-5.
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Registered trials
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.