Evidence map›Paper›PMID 33094032›Full record

ArticleCurrent ophthalmology reports2020

Optical Coherence Tomography: Critical Tool to Manage Expectations after Cataract Extraction.

Raquel Goldhardt, Bradley Simon Rosen

Abstract read
In one paragraph

Article in Current ophthalmology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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

2 authors.

Raquel GoldhardtBascom Palmer Eye Institute, Department of Ophthalmology, University of Miami Miller School of Medicine, 900 NW 17 Street, Miami, FL, 33136.
Bradley Simon RosenPrivate Practice. Los Angeles, CA, 90292.

Funding

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

Abstract

purpose of reviewTo review evidence on the utility of spectral domain optical coherence tomography (SD-OCT) in evaluating retinal structure prior cataract surgery and highlight new technologies that can assess retinal function perioperatively.

findingsSD-OCT detected clinically unsuspected macular pathology in 4.6-25% of individuals in the pre-operative cataract evaluation. The most common findings were epiretinal membrane and macular degeneration with frequencies that varied by population studied. These conditions have been associated with complication after surgery (e.g. macular edema, visual dissatisfaction). As such, findings on SD-OCT may impact the informed consent process, alter IOL selection, and provide realistic postoperative vision expectations. Other technologies that assess retinal function, such as microperimetry and multifocal ERG are beginning to be studied but their utility in the pre-operative cataract evaluation is not yet known. SUMMARY: SD-OCT should be incorporated as a routine test prior to surgery to manage patient expectations and assist with optimal IOL selection, as even individuals with a seemingly normal clinical exam may have macular pathology. SD-OCT is the most established method for evaluating retinal anatomy and offers the benefits of a reduction in cases with missed macular pathology and fewer postoperative visual surprises.

Indexed as

cataract surgerymacula pathologymultifocal intraocular lensesoptical coherence tomographypatient expectationspre-operative evaluation

Identifiers

PMID33094032
PMCPMC7574664

What OpenQuestion holds

Textmetadata
LicenceTDM
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.