Evidence map›Paper›PMID 37101295›Full record

SynthesisMalaria journal2023

Retinal imaging technologies in cerebral malaria: a systematic review.

Kyle J Wilson, Amit Dhalla, Yanda Meng, Zhanhan Tu, Yalin Zheng, Priscilla Mhango, Karl B Seydel, Nicholas A V Beare

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Malaria journal, 2023. 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
2.6field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Type II Acute Macular Neuroretinopathy Secondary to Malaria.Case reports in ophthalmological medicine · 2024
    Article
  5. Is there a role for bradykinin in cerebral malaria pathogenesis?Frontiers in cellular and infection microbiology · 2023
    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

8 authors at 6 institutions in 3 countries.

Kyle J WilsonDepartment of Eye & Vision Sciences, University of Liverpool, Liverpool, UK. kyle.wilson@liverpool.ac.uk.
Amit DhallaDepartment of Ophthalmology, Sheffield Teaching Hospitals, Sheffield, UK.
Yanda MengDepartment of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
Zhanhan TuSchool of Psychology and Vision Sciences, College of Life Science, The University of Leicester Ulverscroft Eye Unit, Robert Kilpatrick Clinical Sciences Building, Leicester Royal Infirmary, Leicester, UK.
Yalin ZhengDepartment of Eye & Vision Sciences, University of Liverpool, Liverpool, UK.
Priscilla MhangoDepartment of Ophthalmology, Kamuzu University of Health Sciences, Blantyre, Malawi.
Karl B SeydelCollege of Osteopathic Medicine, Michigan State University, East Lansing, MI, USA.
Nicholas A V BeareDepartment of Eye & Vision Sciences, University of Liverpool, Liverpool, UK. nbeare@liverpool.ac.uk.
University of Liverpool · GBKamuzu University of Health SciencesMichigan State University · USRoyal Liverpool University Hospital · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUlverscroft (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCerebral malaria (CM) continues to present a major health challenge, particularly in sub-Saharan Africa. CM is associated with a characteristic malarial retinopathy (MR) with diagnostic and prognostic significance. Advances in retinal imaging have allowed researchers to better characterize the changes seen in MR and to make inferences about the pathophysiology of the disease. The study aimed to explore the role of retinal imaging in diagnosis and prognostication in CM; establish insights into pathophysiology of CM from retinal imaging; establish future research directions.

methodsThe literature was systematically reviewed using the African Index Medicus, MEDLINE, Scopus and Web of Science databases. A total of 35 full texts were included in the final analysis. The descriptive nature of the included studies and heterogeneity precluded meta-analysis.

resultsAvailable research clearly shows retinal imaging is useful both as a clinical tool for the assessment of CM and as a scientific instrument to aid the understanding of the condition. Modalities which can be performed at the bedside, such as fundus photography and optical coherence tomography, are best positioned to take advantage of artificial intelligence-assisted image analysis, unlocking the clinical potential of retinal imaging for real-time diagnosis in low-resource environments where extensively trained clinicians may be few in number, and for guiding adjunctive therapies as they develop.

conclusionsFurther research into retinal imaging technologies in CM is justified. In particular, co-ordinated interdisciplinary work shows promise in unpicking the pathophysiology of a complex disease.

Indexed as

Malaria, CerebralRetinal DiseasesArtificial IntelligenceHumansRetinaTomography, Optical CoherenceCerebral malariaFluorescein angiographyFundus photographyMalarial retinopathyOptical coherence tomography

Identifiers

PMID37101295
PMCPMC10131356
OpenAlexW4367055822

What OpenQuestion holds

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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.