Evidence map›Paper›PMID 31281666›Full record

ArticleJournal of ophthalmology2019

Morphology of Peripheral Vitreoretinal Interface Abnormalities Imaged with Spectral Domain Optical Coherence Tomography.

Rachel L Chu, Nicole A Pannullo, Christopher R Adam, Mohammad R Rafieetary, Eric J Sigler

Abstract read
In one paragraph

Article in Journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Spotlight on Lattice Degeneration Imaging Techniques.Clinical ophthalmology (Auckland, N.Z.) · 2023
    Review
  6. Article
  7. Review
  8. 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

5 authors.

Rachel L ChuStony Brook University School of Medicine, 101 Nicolls Road, Health Sciences Center, Level 4, Stony Brook, NY 11794, USA.ORCID 0000-0003-0158-4768
Nicole A PannulloSchool of Chemistry and Materials Science, Rochester Institute of Technology, 1 Lomb Memorial Drive, Rochester, NY 14623, USA.ORCID 0000-0002-1061-7157
Christopher R AdamDivision of Retina and Vitreous, Kresge Eye Institute, Wayne State University, 4717 St. Antoine Street, Detroit, MI 48201, USA.
Mohammad R RafieetaryDepartment of Vitreoretinal Surgery, Charles Retina Institute, 1432 Kimbrough Road, Germantown, TN 38138, USA.
Eric J SiglerDivision of Retina and Vitreous, Ophthalmic Consultants of Long Island, 2000 North Village Avenue, Suite 402, Rockville Center, NY 11570, USA.ORCID 0000-0002-1063-4440

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of this study is to describe the clinical utility and morphologic characteristics of peripheral vitreoretinal interface abnormalities with spectral domain optical coherence tomography (SD-OCT). A prospective imaging analysis of 43 patients with peripheral vitreoretinal interface abnormalities seen on binocular indirect examination with scleral indentation was done. SD-OCT was evaluated for image quality and structural findings. Laser retinopexy was performed to surround all retinal breaks containing a full-thickness component via SD-OCT. Acceptable image quality for inclusion was obtained in 39/43 (91%) patients. Mean age was 41 ± 22 years, and mean follow-up was 14 ± 1.6 months. Decision to treat was altered following SD-OCT in 5% of the patients. Two cases of previously diagnosed operculated holes were found on SD-OCT to be partial-thickness operculated breaks or focal operculated schisis. Peripheral SD-OCT is a reliable and useful technique to examine the structural features of vitreoretinal interface abnormalities

Identifiers

PMID31281666
PMCPMC6590607

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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.