Evidence map›Paper›PMID 29936688›Full record

Observational studyInternational ophthalmology2019

Demonstration of anatomical development of the human macula within the first 5 years of life using handheld OCT.

Talal Alabduljalil, Carol A Westall, Arun Reginald, Sina Farsiu, Stephanie J Chiu, Alec Arshavsky, Cynthia A Toth, Wai-Ching Lam

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in International ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Article
  6. Insights into the developing fovea revealed by imaging.Progress in retinal and eye research · 2022
    Review
  7. Article
  8. Observational
  9. A Single-Cell Transcriptome Atlas of the Human Retinal Pigment Epithelium.Frontiers in cell and developmental biology · 2021
    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

8 authors at 2 institutions in 2 countries.

Talal AlabduljalilSickKids Hospital, Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada. dr_talal@me.com.ORCID http://orcid.org/0000-0001-8875-4699
Carol A WestallSickKids Hospital, Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada.
Arun ReginaldSickKids Hospital, Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada.
Sina FarsiuVision and Image Processing (VIP) Laboratory, Departments of Ophthalmology and Biomedical Engineering, Duke University, Durham, NC, USA.
Stephanie J ChiuVision and Image Processing (VIP) Laboratory, Departments of Ophthalmology and Biomedical Engineering, Duke University, Durham, NC, USA.
Alec ArshavskyVision and Image Processing (VIP) Laboratory, Departments of Ophthalmology and Biomedical Engineering, Duke University, Durham, NC, USA.
Cynthia A TothVision and Image Processing (VIP) Laboratory, Departments of Ophthalmology and Biomedical Engineering, Duke University, Durham, NC, USA.
Wai-Ching LamSickKids Hospital, Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Canada.
Duke University · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo demonstrate the anatomical development of the human macula using handheld spectral domain optical coherence tomography (SD-OCT) during the first 5 years of life.

methodsThis study is a cross-sectional, observational case series. Thirty-five normal eyes of 35 full-term/late preterm infants and children under 5 years of age were included. Handheld SD-OCT was used to image the macula of each eye. The data were analyzed using the Duke OCT Retinal Analysis Program v17 software. Retinal thickness maps were generated for the total retinal thickness (TRT), the inner retinal layers thickness (IRL), and the photoreceptor layer thickness (PRL). Based on the early treatment diabetic retinopathy study macular map, average thickness measurements were taken at 4 circles centered on the fovea (diameter): the foveal center (0.5 mm), sector 1 (S1) (1 mm), sector 2 (S2) (3 mm), sector 3 (S3) (6 mm).

resultsThe median age at participation was 24 months (range 5-52 months). The TRT increased throughout the first 5 years of life, and this increase was statistically significant at the foveal center and S1 (p = 0.01, p = 0.016, respectively). The IRL did not show any significant change in thickness from birth and throughout the first 5 years of life. The PRL thickness showed thickening in the first 24 months of age at the foveal center and S1 which was statistically significant at S1 (p = 0.066, p = 0.016, respectively). Interestingly, this PRL thickness increase plateaus beyond 24 months of age. The photoreceptors inner segment/outer segment (IS/OS) band was identified as a distinct layer in all our subjects.

conclusionOur findings conform with the literature that the anatomical development of the macular IRL completes before 5 months of age and hence before the PRL. We also identify 24 months of age as an important developmental milestone for photoreceptors development in the human macula.

Indexed as

Computers, HandheldChild, PreschoolCross-Sectional StudiesEquipment DesignFemaleFollow-Up StudiesGestational AgeHumansInfantMacula LuteaMaleReference ValuesTime FactorsTomography, Optical CoherenceBioptigen OCTHandheld OCTHuman maculaMacular developmentPhotoreceptor development

Identifiers

PMID29936688
OpenAlexW2810805547

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.