Evidence map›Paper›PMID 36856844›Full record

ArticleGraefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie2023

Sex determination using color fundus parameters in older adults of Kumejima population study.

Takehiro Yamashita, Ryo Asaoka, Aiko Iwase, Hiroshi Sakai, Hiroto Terasaki, Taiji Sakamoto, Makoto Araie

Abstract 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, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. Article
  3. Observational
  4. Observational
  5. Age prediction using fundus parameters of normal eyes from the Kumejima population study.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  6. Observational
  7. Observational
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

7 authors at 4 institutions in 1 country.

Takehiro YamashitaDepartment of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Ryo AsaokaDepartment of Ophthalmology, Seirei Hamamatsu General Hospital, Shizuoka, Japan.
Aiko IwaseTajimi Iwase Eye Clinic, Gifu, Japan.
Hiroshi SakaiUrasoe Sakai Eye Clinic, Okinawa, Japan.
Hiroto TerasakiDepartment of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Taiji SakamotoDepartment of Ophthalmology, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan. tsakamot@m3.kufm.kagoshima-u.ac.jp.ORCID http://orcid.org/0000-0003-0287-3801
Makoto AraieDepartment of Ophthalmology, Kanto Central Hospital, Tokyo, Japan.
Kagoshima University · JPGifu Prefectural Tajimi Hospital · JPKanto Central Hospital · JPSeirei Hamamatsu General Hospital · JP

Funding

Japan Society for the Promotion of Science London 21H03095Japan Society for the Promotion of Science London JP17591845
6 · The paper itself

Abstract

purposeDeep learning artificial intelligence can determine the sex using only fundus photographs. However, the factors used by deep learning to determine the sex are not visible. Therefore, the purpose of the study was to determine whether the sex of an older individual can be determined by regression analysis of their color fundus photographs (CFPs).

methodsForty-two parameters were analyzed by regression analysis using 1653 CFPs of normal subjects in the Kumajima study. The parameters included the mean values of red, green, and blue intensities; the tessellation fundus index; the optic disc ovality ratio; the papillomacular angle; and the retinal vessel angles. Finally, the L2 regularized binomial logistic regression was used to predict the sex using all the parameters, and the diagnostic ability was assessed through the leave-one-cross-validation.

resultsThe mean age of the 838 men and 815 women were 52.8 and 54.0 years, respectively. The ovality ratio and retinal artery angles in women were significantly smaller than that in men. The green intensity at all locations for the women were significantly higher than that of men (P < 0.001). The discrimination accuracy rate assessed by the area-under-the-curve was 80.4%.

conclusionsOur methods can determine the sex from the CFPs of the adult with an accuracy of 80.4%. The ovality ratio, retinal vessel angles, tessellation, and the green intensities of the fundus are important factors to identify the sex in individuals over 40 years old.

Indexed as

Artificial IntelligenceOptic DiskAdultAgedDiagnostic Techniques, OphthalmologicalFemaleFundus OculiHumansMaleMiddle AgedRetinal VesselsColor fundus photographsPopulation studySex differencesSex identification

Identifiers

PMID36856844
OpenAlexW4322719173

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.