Evidence map›Paper›PMID 34773490›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2022

Classification of good visual acuity over time in patients with branch retinal vein occlusion with macular edema using support vector machine.

Yoshitsugu Matsui, Kazuya Imamura, Mihiro Ooka, Shinichiro Chujo, Yoko Mase, Hisashi Matsubara, Hiroharu Kawanaka, Mineo Kondo

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Yoshitsugu MatsuiDepartment of Ophthalmology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan. footboyslim366@gmail.com.ORCID http://orcid.org/0000-0002-6676-405X
Kazuya ImamuraDepartment of Electrical and Electronic Engineering, Mie University, Tsu, Mie, Japan.
Mihiro OokaDepartment of Electrical and Electronic Engineering, Mie University, Tsu, Mie, Japan.
Shinichiro ChujoDepartment of Ophthalmology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Yoko MaseDepartment of Ophthalmology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Hisashi MatsubaraDepartment of Ophthalmology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Hiroharu KawanakaDepartment of Electrical and Electronic Engineering, Mie University, Tsu, Mie, Japan.
Mineo KondoDepartment of Ophthalmology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Mie University · JP

Funding

Grant-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology of Japan 21K16894
6 · The paper itself

Abstract

purposeTo identify the eyes with macular edema (ME) due to a branch retinal vein occlusion (BRVO) that have good visual acuity during the continuous anti-vascular endothelial growth factor (anti-VEGF) treatment based on the patients' clinical information and optical coherence tomography (OCT) images by using machine learning.

methodsSixty-six eyes of 66 patients received 1 anti-VEGF injection followed by repeated injections in the pro re nata (PRN) regimen for 12 months. The patients were divided into two groups: those with and those without good vision during the 1-year experimental period. Handcraft features were defined from the OCT images at the time of the first resolution of the ME. Variables with a significant difference between the groups were used as explanatory variables. A classifier was created with handcrafted features based on a support vector machine (SVM) that adjusted parameters for increasing maximal precision.

resultsThe age, best-corrected visual acuity (BCVA) at the baseline, BCVA at the first resolution of the ME, integrity and reflectivity of the external limiting membrane (ELM), the ellipsoid zone (EZ), and area of the outer segments of the photoreceptors were selected as explanatory variables. The classification performance was 0.806 for accuracy, 0.768 for precision, 0.772 for recall, and 0.752 for the F-measure.

conclusionThe use of the SVM of the patient's clinical information and OCT images can be helpful for determining the prognosis of the BCVA during continued pro re nata anti-VEGF treatment in eyes with ME associated with BRVO.

Indexed as

Macular EdemaRetinal Vein OcclusionAngiogenesis InhibitorsHumansIntravitreal InjectionsRetrospective StudiesSupport Vector MachineTomography, Optical CoherenceTreatment OutcomeVisual AcuityAngiogenesis InhibitorsBranch retinal vein occlusionFoveaMacularOptical coherence tomographySupport vector machine

Identifiers

PMID34773490
OpenAlexW3213264451

What OpenQuestion holds

Textmetadata
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.