Evidence map›Paper›PMID 31888714›Full record

ArticleBMC cancer2019

Reliable cell and tissue morphology-based diagnosis of endemic Burkitt lymphoma in resource-constrained settings in Ghana.

Cecilia Smith-Togobo, Mette Ø Pedersen, Steffen G Jensen, Babatunde Duduyemi, Richard K Gyasi, Michael F Ofori, Vivian Paintsil, Lorna Renner, Peter Nørgaard, Lars Hviid

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

10 authors at 5 institutions in 2 countries.

Cecilia Smith-TogoboDepartment of Biochemistry, Cell and Molecular Biology, University of Ghana, Legon, Ghana.ORCID https://orcid.org/0000-0002-5583-3304
Mette Ø PedersenDepartment of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark.ORCID https://orcid.org/0000-0002-8561-9421
Steffen G JensenDepartment of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark.
Babatunde DuduyemiDepartment of Pathology, Komfo Anokye Hospital, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-9185-5957
Richard K GyasiDepartment of Pathology, Korle-Bu Teaching Hospital, Accra, Ghana.
Michael F OforiDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Legon, Ghana.ORCID https://orcid.org/0000-0003-2341-7514
Vivian PaintsilDepartment of Child Health, Komfo Anokye Hospital, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-8965-0549
Lorna RennerDepartment of Child Health, Korle-Bu Teaching Hospital, Accra, Ghana.ORCID https://orcid.org/0000-0001-7902-773X
Peter NørgaardDepartment of Pathology, Herlev and Gentofte Hospital, Herlev, Denmark.
Lars HviidCentre for Medical Parasitology at Department of Immunology and Microbiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. lhviid@sund.ku.dk.ORCID http://orcid.org/0000-0002-1698-4927
Gentofte Hospital · DKKomfo Anokye Teaching Hospital · GHKorle Bu Teaching Hospital · GHUniversity of Copenhagen · DKUniversity of Ghana · GH

Funding

Danish International Development Agency BSU2-UG
6 · The paper itself

Abstract

backgroundEndemic Burkitt lymphoma (eBL) is an aggressive B-cell lymphoma, which is a common childhood cancer in areas with intense transmission of Plasmodium falciparum parasites. Early and accurate diagnosis is a prerequisite for successful therapy, but it optimally involves advanced laboratory investigations. These are technologically demanding, expensive, and often difficult to implement in settings where eBL is prevalent. Diagnosis is thus generally based on clinical assessment and morphological examination of tumour biopsies or fine-needle aspirates (FNAs).

methodsThe purpose of the present study was to assess the accuracy of eBL diagnosis at two tertiary hospitals in Ghana. To that end, we studied FNAs from 29 eBL patients and 21 non-eBL lymphoma patients originally diagnosed in 2018. In addition, we examined 111 archival formalin-fixed and paraffin-embedded (FFPE) biopsies from Ghanaian patients originally diagnosed as eBL (N = 55) or non-eBL (N = 56) between 2010 and 2017. Availability-based subsets of samples were subjected to haematoxylin-eosin or Giemsa staining, C-MYC immunohistochemistry, and fluorescence in situ hybridisation (FISH) analysis of c-myc rearrangements.

resultsWe found a good correlation between original diagnosis and subsequent retrospective assessment, particularly for FNA samples. However, evidence of intact c-myc genes and normal C-MYC expression in samples from some patients originally diagnosed as eBL indicates that morphological assessment alone can lead to eBL over-diagnosis in our study area. In addition, several FFPE samples could not be assessed retrospectively, due to poor sample quality. Therefore, the simpler FNA method of obtaining tumour material is preferable, particularly when careful processing of biopsy specimens cannot be guaranteed.

conclusionWe conclude that the accuracy of eBL diagnostic tools available in Ghana is generally adequate, but could be improved by implementation of additional pathology laboratory investigations. Improved attention to adequate preservation of archival samples is recommended.

Indexed as

AdolescentAdultBurkitt LymphomaChildChild, PreschoolEndemic DiseasesFemaleGene RearrangementGenes, mycGhanaHumansInfantMalaria, FalciparumMalePlasmodium falciparumReproducibility of ResultsDiagnostic accuracyEndemic Burkitt lymphomaMorphology, C-MYC immunohistochemistry, c-myc FISH

Identifiers

PMID31888714
PMCPMC6937736
OpenAlexW2997040074

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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.