Evidence map›Paper›PMID 38951912›Full record

ArticleParasites & vectors2024

Diagnostic performance of an ultra-sensitive RDT and a conventional RDT in malaria mass testing, treatment and tracking interventions in southern Ghana.

Linda Eva Amoah, Ndong Ignatius Cheng, Festus Kojo Acquah, Susan Adu-Amankwah, Dorcas Gyama Bredu, Benedicta A Mensah, Sherik-Fa Anang, Bernice Cubson Abban, Abena Busayomi, Sebastian Shine Kwarpong and 7 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2024. 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

17 authors.

Linda Eva AmoahDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana. levaamoah@noguchi.ug.edu.gh.
Ndong Ignatius ChengDepartment of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Festus Kojo AcquahDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Susan Adu-AmankwahDepartment of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Dorcas Gyama BreduDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Benedicta A MensahDepartment of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Sherik-Fa AnangDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Bernice Cubson AbbanDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Abena BusayomiDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Sebastian Shine KwarpongDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Prosper Kofi TeyDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Elizabeth CudjoeDepartment of Immunology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.
Alexander AsamoahNational Malaria Control Program, Accra, Ghana.
Tobias McKenzie HoldenDepartment of Preventive Medicine and Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Jaline GerardinDepartment of Preventive Medicine and Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.
Justice NonvignonDepartment of Health Policy, Planning and Management, School of Public Health, College of Health Sciences, University of Ghana, P. O. Box LG13, Legon, Ghana.
Collins AhorluDepartment of Epidemiology, Noguchi Memorial Institute for Medical Research, University of Ghana, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApplication of numerous malaria control interventions has led to reduction in clinical malaria cases and deaths but also the realisation that asymptomatic parasite carriers play a key role in sustaining transmission. This study assessed the effectiveness of using the Ultra-sensitive NxTek eliminate RDT (uRDT) and conventional SD Bioline HRP2 RDT (cRDT) in diagnosing asymptomatic parasitaemia while measuring the impact of mass testing, treatment and tracking (MTTT) on the prevalence of asymptomatic malaria over a 1-year period in Ghana.

methodsA total of 4000 targeted participants from two towns, Obom and Kofi Kwei, with their surrounding villages, were tested for asymptomatic malaria four times over the study period using uRDT (intervention) and the cRDT (control) respectively. Participants carrying malaria parasites were followed by home visit and phone calls for compliance to treatment, and filter paper blood blots collected from participants were used to determine true parasite carriage by PET-PCR. A mathematical model of the study site was developed and used to test the impact of test sensitivity and mass migration on the effect of MTTT.

resultsThe start and end point sensitivities of the cRDT were 48.8% and 41.7% and those for the uRDT were 52.9% and 59.9% respectively. After a year of MTTTs, asymptomatic parasite prevalence, as determined by PCR, did not differ statistically in the control site (40.6% to 40.1%, P = 0.730) but decreased at the intervention site (55.9% to 46.4%, P < 0.0001). Parasite prevalence by RDT, however, indicated statistical reduction in the control site (25.3% to 22.3%, P = 0.017) and no change in the intervention site (35.1% to 36.0%, P = 0.614). The model predicted a mild effect of both diagnostic sensitivity and human movement in diminishing the impact of MTTT in the study sites.

conclusionsAsymptomatic parasite prevalence at the molecular level reduced significantly in the site where the uRDT was used but not where the cRDT was used. Overall, the uRDT exhibited higher sensitivity relative to the cRDT. Highly sensitive molecular techniques such as PET-PCR should be included in parasite prevalence estimation during MTTT exercises.

Indexed as

Sensitivity and SpecificityAdolescentAdultChildChild, PreschoolDiagnostic Tests, RoutineFemaleGhanaHumansInfantMalariaMalaria, FalciparumMaleMass ScreeningMiddle AgedParasitemiaGhanaMalariaMTTTPET-PCRRDTUltra-sensitive

Identifiers

PMID38951912
PMCPMC11218287

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.