Evidence map›Paper›PMID 36509055›Full record

ArticleThe American journal of tropical medicine and hygiene2023

Using Malarial Retinopathy to Improve the Diagnosis of Pediatric Cerebral Malaria.

Yuzhou Lin, Andrew Tebulo, Dylan Small, Karl Seydel, Terrie Taylor, Bo Zhang

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Yuzhou LinDepartment of Statistics, Harvard University, Cambridge, Massachusetts.
Andrew TebuloBlantyre Malaria Project, Kamuzu University of Health Sciences, Blantyre, Malawi.
Dylan SmallDepartment of Statistics and Data Science, The Wharton School, University of Pennsylvania, Philadelphia, Pennsylvania.
Karl SeydelBlantyre Malaria Project, Kamuzu University of Health Sciences, Blantyre, Malawi.
Terrie TaylorBlantyre Malaria Project, Kamuzu University of Health Sciences, Blantyre, Malawi.
Bo ZhangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Center, Seattle, Washington.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In malaria endemic areas, a high proportion of children have detectable parasitemia but show no clinical symptoms. When comatose from a cause other than malaria, this group confounds the cerebral malaria (CM) definition, making accurate diagnosis challenging. One important biomarker of CM is malarial retinopathy, a set of specific features visible in the ocular fundus. In this study, we quantified the contribution of malarial retinopathy in discriminating malaria-caused coma from non-malaria-caused coma. We estimated that 10% of our study cohort of N = 1,192 patients who met the WHO clinical definition of CM in Malawi had non-malarial coma based on a Gaussian mixture model using the parasite protein Plasmodium falciparum histidine-rich protein-2. A classification based on platelets, white blood cells, and retinopathy significantly improved the discriminative power of a previously established model including only platelets plus white blood cells (area under the receiver operating characteristic curve: 0.89 versus 0.75, P value < 0.001). We conclude that malarial retinopathy is highly predictive of malaria-caused versus non-malaria-caused coma and recommend that an ocular funduscopic examination to determine malarial retinopathy status be included in the assessment of parasitemic comatose African children.

Indexed as

Malaria, CerebralMalaria, FalciparumRetinal DiseasesBiomarkersChildComaFundus OculiHumansPlasmodium falciparumBiomarkers

Identifiers

PMID36509055
PMCPMC9833082

What OpenQuestion holds

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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.