ArticlePloS one2018
Classification of primary angle closure spectrum with hierarchical cluster analysis.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- Comparison of anterior segment parameters in primary angle closure suspects and pseudoexfoliation syndrome with occludable angles.International ophthalmology · 2025Article
- Subtypes of primary angle closure disease based on age-independent anterior segment optical coherence tomography parameters.Eye (London, England) · 2025Article
- ACM-Assessor: An Artificial Intelligence System for Assessing Angle Closure Mechanisms in Ultrasound Biomicroscopy.Bioengineering (Basel, Switzerland) · 2025Article
- Changes in Iridotrabecular Contact and Intraocular Pressure after Phacoemulsification in Primary Angle-Closure Disease Spectrum.Korean journal of ophthalmology : KJO · 2024Article
- Analysis of anterior segment in primary angle closure suspect with deep learning models.BMC medical informatics and decision making · 2024Article
- Review
- Classification of Angle Closure Severity by Hierarchical Cluster Analysis of Ocular Biometrics in the Dark and Light.Translational vision science & technology · 2023Article
- The inflammatory cytokine profiles and ocular biometric characteristics of primary angle-closure glaucoma.The Journal of international medical research · 2023Article
- Development of Cumulative Order-Preserving Image Transformation Based Variational Autoencoder for Anterior Segment Optical Coherence Tomography Images.Translational vision science & technology · 2022Article
- Detection of primary angleclosure suspect with different mechanisms of angle closure using multivariate prediction models.Acta ophthalmologica · 2021Observational
- Posture-Related Changes of Intraocular Pressure in Patients With Acute Primary Angle Closure.Investigative ophthalmology & visual science · 2021Observational
- Ocular Biometric Determinants of Anterior Chamber Angle Width in Chinese Americans: The Chinese American Eye Study.American journal of ophthalmology · 2020Article
- Establishment and Comparison of Algorithms for Detection of Primary Angle Closure Suspect Based on Static and Dynamic Anterior Segment Parameters.Translational vision science & technology · 2020Article
- Measurement of the depths at different regions of the anterior chamber in healthy Chinese adults.International journal of ophthalmology · 2020Article
- Trends in the characteristics of acute primary angle closure in Korea over the past 10-years.PloS one · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo classify subjects with primary angle closure into clusters based on features from anterior segment optical coherence tomography (ASOCT) imaging and to explore how these clusters correspond to disease subtypes, including primary angle closure suspect (PACS), primary angle closure glaucoma(PACG), acute primary angle closure (APAC) and fellow eyes of APAC and reveal the factors that become more predominant in each subtype of angle closure.
methodA cross-sectional study of 248 eyes of 198 subjects(88 PACS eyes, 53 PACG eyes, 54 APAC eyes and 53 fellow eyes of APAC) that underwent complete examination including gonioscopy, A-scan biometry, and ASOCT. An agglomerative hierarchical clustering method was used to classify eyes based on ASOCT parameters.
resultsStatistical clustering analysis produced three clusters among which the anterior segment parameters were significantly different. Cluster 1(43 eyes) had the smallest anterior chamber depth(ACD) and area, as well as the greatest lens vault (p<0.001 for all). Cluster 2(113 eyes) had the thickest iris at 2000 microns(p = 0.048), and largest iris area(p<0.001), and the deepest ACD (p<0.001). Cluster 3(92 eyes) was characterized by elements of both clusters 1 and 2 and a higher iris curvature(p<0.001). There was a statistically significant difference in the distribution of clusters among subtypes of angle closure eyes(p<0.001). Although the patterns of clusters were similar in PACS and PACG eyes, with the majority of the eyes classified into cluster 2(55%, and 62%, respectively), the highest proportion of APAC and fellow eyes were assigned to clusters 1(44%) and 3 (51%), respectively.
conclusionHierarchical cluster analysis identified three clusters with different features. Predominant anatomical components are different among subtypes of primary angle closure.
Indexed as
Identifiers
What OpenQuestion holds
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.