Evidence map›Paper›PMID 38461329›Full record

ArticleBMC research notes2024

Quality assessment of malaria microscopic diagnosis at the Aristide Le Dantec University Hospital of Dakar, Senegal, in 2020.

Mamane N Garba, Awa B Dème, Khadim Diongue, Younousse Diédhiou, Amadou M Mbaye, NDèye M Dia, N'Dèye A Seck, Daba Zoumarou, Lamine Ndiaye, Mamadou S Yade and 29 more

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Malaria diagnosis challenges andPathogens and global health · 2024
    Article
  3. Circulation of Non-Open forum infectious diseases · 2024
    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

39 authors at 3 institutions in 1 country.

Mamane N GarbaInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal. nassirou.garba@gmail.com.
Awa B DèmeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Khadim DiongueInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Younousse DiédhiouInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Amadou M MbayeLaboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal.
NDèye M DiaLaboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal.
N'Dèye A SeckLaboratoire de Parasitologie-Mycologie, Université Cheikh Anta Diop de Dakar (UCAD), Hôpital Aristide Le Dantec, Dakar, Senegal.
Daba ZoumarouInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Lamine NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mamadou S YadeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Baba DièyeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Aita SèneInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Abdoulaye TineInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mariama TouréInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Nogaye GadiagaInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Awa FallInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Bassirou NgomInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Djiby SowInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Aliou NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Astou KeitaInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mame F NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Jules F GomisInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Nana F DiopInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Guète DialloInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Ibrahima M NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Elhadj M BaInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Omar BitèyeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Cheikh NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Fama S D MbodjiInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Pape O NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Tolla NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Amy GayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mouhamad SyInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Yaye D NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mame C SeckInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mouhamadou NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Aida S BadianeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Mamadou A DialloInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Daouda NdiayeInternational Research Training Center on Genomics and Health Surveillance (CIGASS), Dakar, Senegal.
Hôpital Aristide Le Dantec · SNCheikh Anta Diop University · SNInstitute of Health Research, Epidemiological Surveillance and Training · SN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFollowing WHO guidelines, microscopy is the gold standard for malaria diagnosis in endemic countries. The Parasitology-Mycology laboratory (LPM) is the National Reference Laboratory and is currently undergoing ISO 15189 accreditation. In this context, we assessed the performance of the laboratory by confirming the reliability and the accuracy of results obtained in accordance with the requirements of the ISO 15189 standards. This study aimed to verify the method of microscopic diagnosis of malaria at the LPM, in the Aristide Le Dantec hospital (HALD) in Dakar, Senegal.

methodsThis is a validation/verification study conducted from June to August 2020. Twenty (20) microscopic slides of thick/thin blood smear with known parasite densities (PD) selected from the Cheick Anta Diop University malaria slide bank in Dakar were used for this assessment. Six (6) were used to assess microscopists' ability to determine PD and fourteen (14) slides were used for detection (positive vs negative) and identification of parasites. Four (4) LPM-HALD microscopists read and recorded their results on prepared sheets. Data analysis was done with Microsoft Excel 2010 software.

resultsA minimum threshold of 50% concordance was used for comparison. Of the twenty (20) slides read, 100% concordance was obtained on eight (8) detection (positive vs negative) slides. Four (4) out of the six (6) parasite density evaluation slides obtained a concordance of less than 50%. Thirteen (13) out of the fourteen (14) identification slides obtained a concordance greater than 50%. Only one (1) identification slide obtained zero agreement from the microscopists. For species identification a concordance greater than 80% was noted and the microscopists obtained scores between 0.20 and 0.4 on a scale of 0 to 1 for parasite density reading. The microscopists obtained 100% precision, sensitivity, specificity and both negative and positive predictive values.

conclusionThis work demonstrated that the microscopic method of malaria diagnosis used in the LPM/HALD is in accordance with the requirements of WHO and ISO 15189. Further training of microscopists may be needed to maintain competency.

Indexed as

MalariaHospitals, UniversityHumansLaboratoriesReproducibility of ResultsSenegalDiagnosisPlasmodiumSenegalSensitivitySpecificity

Identifiers

PMID38461329
PMCPMC10925005
OpenAlexW4392617902

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.