Evidence map›Paper›PMID 32051763›Full record

ArticleJournal of ophthalmology2020

Polypoidal Choroidal Vasculopathy in Congolese Patients.

Nelly N Kabedi, David L Kayembe, Gloria M Elongo, Jean-Claude Mwanza

Open access · goldAbstract read
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Article in Journal of ophthalmology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Nelly N KabediDepartment of Ophthalmology, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0001-5118-3861
David L KayembeDepartment of Ophthalmology, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Gloria M ElongoDepartment of Ophthalmology, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.
Jean-Claude MwanzaDepartment of Ophthalmology, School of Medicine, University of Kinshasa, Kinshasa, Democratic Republic of the Congo.ORCID https://orcid.org/0000-0002-2346-5885
University of Kinshasa · CDUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePolypoidal choroidal vasculopathy (PCV) is a visually debilitating disease that mostly affects people of African and Asian heritage. Indocyanine green angiography (ICGA) is the recommended exploratory method for definitive diagnosis. The disease has been extensively described in Asians and Caucasians, but not in Africans. This study was conducted to document the clinical presentation and optical coherence tomography features of polypoidal choroidal vasculopathy (PCV) in Congolese patients.

methodsA prospective case series of patients with PCV was performed between January 2017 and June 2019. Routine ocular examination was performed including best corrected visual acuity measurement, slit-lamp examination, dilated direct fundoscopy, and spectral domain optical coherence tomography (OCT). The diagnosis was based on a combination of clinical and OCT signs.

resultsFourteen patients were diagnosed with PCV during this period. The average age was 64.7 ± 6.9 years. There were 8 females. Ten (71.4%) patients had systemic hypertension. Most patients (

conclusionsPCV in Congolese patients showed features that are more similar to those observed in Caucasians. In this setting where indocyanine green angiography is not available, OCT facilitates the diagnosis of PCV.

Identifiers

PMID32051763
PMCPMC6995324
OpenAlexW3002958872

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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.