Evidence map›Paper›PMID 28078103›Full record

ReviewInternational journal of retina and vitreous2017

The potential of spectral domain optical coherence tomography imaging based retinal biomarkers.

Prateep Phadikar, Sandeep Saxena, Surabhi Ruia, Timothy Y Y Lai, Carsten H Meyer, Dean Eliott

Abstract readReview
In one paragraph

Review in International journal of retina and vitreous, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Trial
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  11. Article
  12. Deep learning in optical coherence tomography: Where are the gaps?Clinical & experimental ophthalmology · 2023
    Review
  13. Article
  14. Drusen morphometrics on optical coherence tomography in eyes with age-related macular degeneration and normal aging.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Article
  15. Review
  16. Impact of inter-ethnic anatomical findings on current surgical outcome, established biomarkers, and future artificial intelligence algorithms.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2023
    Article
  17. Review
  18. Retinitis Pigmentosa: Current Clinical Management and Emerging Therapies.International journal of molecular sciences · 2023
    Review
  19. Article
  20. 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

6 authors.

Prateep PhadikarDepartment of Ophthalmology, King George's Medical University, Lucknow, U.P. 226003 India.
Sandeep SaxenaDepartment of Ophthalmology, King George's Medical University, Lucknow, U.P. 226003 India.
Surabhi RuiaDepartment of Ophthalmology, King George's Medical University, Lucknow, U.P. 226003 India.
Timothy Y Y LaiDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Carsten H MeyerDepartment of Ophthalmology, Pallas Klinik, Aarau, Switzerland.
Dean EliottHarvard Medical School, Massachusetts Eye and Ear, Boston, MA USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBiomarker", a merged word of "biological marker", refers to a broad subcategory of medical signs that objectively indicate the state of health, and well-being of an individual. Biomarkers hold great promise for personalized medicine as information gained from diagnostic or progression markers can be used to tailor treatment to the individual for highly effective intervention in the disease process. Optical coherence tomography (OCT) has proved useful in identifying various biomarkers in ocular and systemic diseases. MAIN BODY: Spectral domain optical coherence tomography imaging-based biomarkers provide a valuable tool for detecting the earlier stages of the disease, tracking progression, and monitoring treatment response. The aim of this review article is to analyze various OCT based imaging biomarkers and their potential to be considered as surrogate endpoints for diabetic retinopathy, age related macular degeneration, retinitis pigmentosa and vitreomacular interface disorder. These OCT based surrogate markers have been classified as retinal structural alterations (macular central subfield thickness and cube average thickness); retinal ultrastructural alterations (disruption of external limiting membrane and ellipsoid zone, thinning of retinal nerve fiber layer and ganglion cell layer); intraretinal microangiopathic changes; choroidal surrogate endpoints; and vitreoretinal interface endpoints.

conclusionOCT technology is changing very quickly and throughout this review there are some of the multiple possibilities that OCT based imaging biomarkers will be more useful in the near future for diagnosis, prognosticating disease progression and as endpoint in clinical trials.

Indexed as

Age related macular degenerationBiomarkersDiabetic retinopathyInherited macular disorderOptical coherence tomographyRetinitis pigmentosaVitreomacular interface disorders

Identifiers

PMID28078103
PMCPMC5220620

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Registered trials

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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.