Evidence map›Paper›PMID 34350034›Full record

ReviewJournal of ophthalmology2021

Applications of Multimodal Imaging in Central Serous Chorioretinopathy Evaluation.

Mary Ho, Gabriel Li, Andrew Mak, Danny Ng, Lawrence Iu, Frank Lai

Open access · goldAbstract readReview
In one paragraph

Review in Journal of ophthalmology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  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

6 authors at 2 institutions in 2 countries.

Mary HoDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID https://orcid.org/0000-0001-8864-2988
Gabriel LiDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Andrew MakDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.
Danny NgDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID https://orcid.org/0000-0001-6566-1019
Lawrence IuDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Shatin, Hong Kong.ORCID https://orcid.org/0000-0001-6898-5043
Frank LaiDepartment of Ophthalmology, Caritas Medical Centre, Sham Shui Po, Hong Kong.ORCID https://orcid.org/0000-0002-4446-3790
Chinese University of Hong Kong · HKCaritas Medical Centre · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central serous chorioretinopathy (CSCR) is a macular disease characterized by serous retinal detachment commonly involving the macular region. CSCR has a wide spectrum of clinical presentations. Although a significant proportion of CSCR cases are self-limiting, patients can suffer from persistent or recurrent disease, sometimes complicated with choroidal neovascularization, resulting in permanent visual loss. Multimodal imaging, including fluorescein angiography, indocyanine green angiography, fundus autofluorescence, and optical coherence tomography, has advanced the diagnosis and classification of CSCR cases. Evolution of new imaging techniques including optical coherence tomography angiography, wide-field imaging, and en face reconstruction imaging has also contributed to better understandings of the pathophysiology of CSCR. This review article summarizes the features of multimodal imaging for CSCR and discusses the application of such features in evaluating the disease.

Identifiers

PMID34350034
PMCPMC8328719
OpenAlexW3185127681

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.