Evidence map›Paper›PMID 30159212›Full record

ArticleTranslational vision science & technology2018

Comparison of Visual Field Point-Wise Event-Based and Global Trend-Based Analysis for Detecting Glaucomatous Progression.

Zhichao Wu, Felipe A Medeiros

Abstract read
In one paragraph

Article in Translational vision science & technology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Artificial Intelligence for Optical Coherence Tomography in Glaucoma.Translational vision science & technology · 2025
    Review
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Validating Trend-Based End Points for Neuroprotection Trials in Glaucoma.Translational vision science & technology · 2023
    Article
  14. Article
  15. Observational
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Review
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

2 authors.

Zhichao WuDuke Eye Center and Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.
Felipe A MedeirosDuke Eye Center and Department of Ophthalmology, Duke University School of Medicine, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo compare global trend-based and point-wise event-based analysis for detecting visual field progression in eyes with glaucoma.

methodsThe study included a cohort of 367 glaucoma eyes from 265 participants seen over a mean follow-up period of 10 years to develop a computer simulation model of "real-world" visual field results. Progression was evaluated with point-wise event-based analysis using the Guided Progression Analysis (GPA) and global trend-based analysis using the mean deviation (MD) and visual field index (VFI) measures. The specificities of the methods were matched based on a simulated dataset of stable glaucoma eyes, to allow an adequate comparison of their sensitivities for detecting progression.

resultsThe 5-year cumulative false-positive rate for the GPA alert of "possible progression" and "likely progression" (significant change from baseline at two and three consecutive visits, respectively) were 34.0% and 7.0%, respectively. At matched specificities, 27.7% eyes were detected as having progressed after 5 years using the GPA "likely progression" criterion, while 24.6% and 23.8% were detected as having progressed using the global trend-based analysis with MD and VFI, respectively. There was a moderate level of agreement between the GPA and global trend-based analyses.

conclusionsPointwise event-based and global trend-based methods had similar performances to detect glaucoma progression when rigorously matched for specificity. TRANSLATIONAL RELEVANCE: Although both point-wise event- and global trend-based analyses perform similarly, they could provide complementary information that could be exploited to improve the overall detection of progression in clinical practice and clinical trials.

Indexed as

glaucomalongitudinalprogressionvisual field

Identifiers

PMID30159212
PMCPMC6111742

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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.