Evidence map›Paper›PMID 37884703›Full record

ArticleEye (London, England)2024

Prediction of activity in eyes with macular neovascularization due to age-related macular degeneration using deep learning.

Giulia Corradetti, Nadav Rakocz, Jeffrey N Chiang, Oren Avram, Ahmed Roshdy Alagorie, Muneeswar Gupta Nittala, Ayesha Karamat, David S Boyer, David Sarraf, Eran Halperin and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Eye (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. Exploratory investigation of OCTA-VISTA for longitudinal monitoring of neovascular age-related macular degeneration treatment.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    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

11 authors at 4 institutions in 2 countries.

Giulia Corradetti *Doheny Eye Institute, Pasadena, CA, USA.
Nadav Rakocz *Department of Computer Science, University of California-Los Angeles, Los Angeles, CA, USA.
Jeffrey N ChiangDepartment of Computational Medicine, University of California-Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-6843-1355
Oren AvramDepartment of Computer Science, University of California-Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-1984-2139
Ahmed Roshdy AlagorieDoheny Eye Institute, Pasadena, CA, USA.
Muneeswar Gupta NittalaDoheny Eye Institute, Pasadena, CA, USA.
Ayesha KaramatDoheny Eye Institute, Pasadena, CA, USA.
David S BoyerRetina-Vitreous Associates Medical Group, Beverly Hills, CA, USA.
David SarrafDepartment of Ophthalmology, David Geffen School of Medicine, University of California-Los Angeles, Los Angeles, CA, USA.
Eran Halperin *Department of Computer Science, University of California-Los Angeles, Los Angeles, CA, USA.
SriniVas Sadda *Doheny Eye Institute, Pasadena, CA, USA. ssadda@doheny.org.
University of California, Los Angeles · USDoheny Eye Institute · USRetina Vitreous Associates Medical Group · USTanta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Choroidal NeovascularizationDeep LearningMacular DegenerationEyeFluorescein AngiographyHumansNeovascularization, PathologicRetrospective StudiesTomography, Optical Coherence

Identifiers

PMID37884703
PMCPMC10966030
OpenAlexW4387958407

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.