Evidence map›Paper›PMID 36249700›Full record

ArticleOphthalmology science2022

Multimodal Imaging, OCT B-Scan Localization, and

Rita Laiginhas, Jeremy Liu, Mengxi Shen, Yingying Shi, Omer Trivizki, Nadia K Waheed, Giovanni Gregori, Philip J Rosenfeld

Open access · goldAbstract read
In one paragraph

Article in Ophthalmology science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

29 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Review of emerging imaging findings to reveal a broader spectrum of lesions in AMD.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Review
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  13. Structural OCT and OCT angiography biomarkers associated with the development and progression of geographic atrophy in AMD.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Review
  14. Article
  15. Article
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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 1 country.

Rita LaiginhasDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Jeremy LiuDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Mengxi ShenDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Yingying ShiDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Omer TrivizkiDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Nadia K WaheedNew England Eye Center, Tufts Medical Center, Boston, Massachusetts.
Giovanni GregoriDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
Philip J RosenfeldDepartment of Ophthalmology, Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, Florida.
University of Miami · USTufts Medical Center · US

Funding

Shared Equipment ModuleP30EY014801 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Dmitry V Ivanov · 2004 to 2026
$12.2M
NEI NIH HHS P30 EY014801
6 · The paper itself

Abstract

Purpose: Multimodal imaging was used to identify and characterize the cause of hyperpigmentation seen on color fundus images (CFIs) of eyes with intermediate age-related macular degeneration (iAMD). Design: Retrospective review of a prospective study. Participants: Patients with iAMD. Methods: Color fundus images with macular hyperpigmentation were compared with same-day images obtained using fundus autofluorescence (FAF), near infrared reflectance (NIR), and swept-source (SS) OCT imaging. Two SS OCT Main Outcome Measures: Comparison between foci of macular hyperpigmentation seen on CFIs with the detection of these regions on FAF, NIR, and SS OCT Results: Compared with CFIs, FAF imaging seemed to be the least sensitive method for the detection of hyperpigmentation, whereas NIR and SS OCT imaging reliably detected these hyperpigmented areas. Although NIR imaging detected most of the hyperpigmentation seen in CFIs, SS OCT imaging detected all the areas of hyperpigmentation and anatomically localized these areas by using both Conclusions:

Indexed as

Age-related macular degenerationAMD, age-related macular degenerationCFI, color fundus imageColor fundus imagingEn faceFAF, fundus autofluorescenceFOV, field of viewHyperpigmentationHyperreflective focihyperTD, hypertransmission defecthypoTD, hypotransmission defectHypotransmissioniAMD, intermediate age-related macular degenerationNIR, near infraredRPE, retinal pigmented epitheliumSS, swept-source

Identifiers

PMID36249700
PMCPMC9560648
OpenAlexW4206916609

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.