Evidence map›Paper›PMID 31409843›Full record

ArticleScientific reports2019

Multicolor imaging in central serous chorioretinopathy - a quantitative and qualitative comparison with fundus autofluorescence.

Vishal Govindahari, Sumit Randhir Singh, Bindu Rajesh, Roberto Gallego-Pinazo, Rosa Dolz Marco, Dhanya V Nair, Unni Nair, Jay Chhablani

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors.

Vishal GovindahariSmt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India.
Sumit Randhir SinghSmt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India.
Bindu RajeshOphthalmology and Visual Sciences department, Khoo Teck Puat Hospital(KTPH), 90 Yishun Central, Singapore, Singapore.
Roberto Gallego-PinazoUnit of Macula, Oftalvist Clinic, Valencia, Spain.
Rosa Dolz MarcoUnit of Macula, Oftalvist Clinic, Valencia, Spain.
Dhanya V NairDepartment of Retina, Chaithanya Eye Hospital and Research Institute, Trivandrum, Kerala, India.
Unni NairDepartment of Retina, Chaithanya Eye Hospital and Research Institute, Trivandrum, Kerala, India.
Jay ChhablaniSmt. Kanuri Santhamma Centre for Vitreo-Retinal Diseases, L V Prasad Eye Institute, Hyderabad, India. jay.chhablani@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Central serous chorioretinopathy (CSCR) is characterised by choroidal hyperpermeability which results in neurosensory detachments (NSD) along with numerous retinal pigment epithelium (RPE) alterations such as RPE atrophy. Fundus autofluorescence (FAF) demonstrates the functionality of the RPE while multicolor imaging(MCI), by means of its three incident wavelengths, provides insight into clinical changes at various levels of the retina and choroid in CSCR. This study compares various clinical findings in CSCR (NSD, subretinal deposits, RPE atrophy, pigment epithelial detachments (PED) and pachyvessels) on the above mentioned imaging modalities both qualitatively and quantitatively. MCI showed higher mean cumulative area of RPE atrophic patches (6.3 ± 6.02 vs 5.7 ± 5.7 mm

Indexed as

Fundus OculiAdultCentral Serous ChorioretinopathyDiagnostic ImagingFemaleFluorescein AngiographyHumansMaleMiddle AgedRetinal Pigment EpitheliumTomography, Optical Coherence

Identifiers

PMID31409843
PMCPMC6692404

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.