Evidence map›Paper›PMID 28477621›Full record

ArticleMalaria journal2017

Evaluation of the utility value of three diagnostic methods in the detection of malaria parasites in endemic area.

Uchenna Iyioku Ugah, Moses Nnaemeka Alo, Jacob Oluwabusuyi Owolabi, Oluchi DivineGift Okata-Nwali, Ifeoma Mercy Ekejindu, Nancy Ibeh, Michael Okpara Elom

Open access · goldAbstract readComparative Study
In one paragraph

Article in Malaria journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

29 citing papers in PubMed, 53 citations in OpenAlex.

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  14. PLOS global public health · 2021
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  20. Seroprevalence and Parasite Rates ofThe American journal of tropical medicine and hygiene · 2020
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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

7 authors at 2 institutions in 1 country.

Uchenna Iyioku UgahDepartment of Microbiology, Faculty of Science, Federal University Ndufu-Alike Ikwo, PMB 1010, Abakaliki, Ebonyi State, Nigeria. uchenna.ugah@funai.edu.ng.
Moses Nnaemeka AloDepartment of Microbiology, Faculty of Science, Federal University Ndufu-Alike Ikwo, PMB 1010, Abakaliki, Ebonyi State, Nigeria.
Jacob Oluwabusuyi OwolabiDepartment of Microbiology, Faculty of Science, Federal University Ndufu-Alike Ikwo, PMB 1010, Abakaliki, Ebonyi State, Nigeria.
Oluchi DivineGift Okata-NwaliDepartment of Microbiology, Faculty of Science, Federal University Ndufu-Alike Ikwo, PMB 1010, Abakaliki, Ebonyi State, Nigeria.
Ifeoma Mercy EkejinduDepartment of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka, Nigeria.
Nancy IbehDepartment of Medical Laboratory Science, Faculty of Health Sciences and Technology, Nnamdi Azikiwe University, Awka, Nigeria.
Michael Okpara ElomDepartment of Medical Laboratory Science, Faculty of Health Sciences and Technology, Ebonyi State University, Abakaliki, Nigeria.
Nnamdi Azikiwe University · NGEbonyi State University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a debilitating disease with high morbidity and mortality in Africa, commonly caused by different species of the genus Plasmodium in humans. Misdiagnosis is a major challenge in endemic areas because of other disease complications and technical expertise of the medical laboratory staff. Microscopic method using Giemsa-stained blood film has been the mainstay of diagnosis of malaria. However, since 1993 when rapid diagnostic test (RDT) kits were introduced, they have proved to be effective in the diagnosis of malaria. This study was aimed at comparing the accuracy of microscopy and RDTs in the diagnosis of malaria using nested PCR as the reference standard. Four hundred and twenty (420) venous blood specimens were collected from patients attending different General Hospitals in Ebonyi State with clinical symptoms of malaria. The samples were tested with Giemsa-stained microscopy and three RDTs. Fifty specimens were randomly selected for molecular analysis.

resultsUsing different diagnostic methods, the prevalence of malaria among the subjects studied was 25.95% as detected by microscopy, prevalence found among the RDTs was 22.90, 15.20 and 54.80% for Carestart, SD Bioline PF and SD Bioline PF/PV, respectively. Molecular assay yielded a prevalence of 32%. The major specie identified was Plasmodium falciparum; there was co-infection of P. falciparum with Plasmodium malariae and Plasmodium ovale. The sensitivity and specificity of microscopy was 50.00 and 70.59% while that of the RDTs were (25.00 and 85.29%), (25.00 and 94.12%) and (68.75 and 52.94%) for Carestart, SD Bioline PF and SD Bioline PF/PV, respectively. Cohen's kappa coefficient was used to measure the level of agreement of the methods with nested PCR. Microscopy showed a moderate measure of agreement (k = 0.491), Carestart showed a good measure of agreement (k = 0.611), SD Bioline PF showed a fair measure of agreement (k = 0.226) while SD Bioline PF/PV showed a poor measure of agreement (k = 0.172).

conclusionsThis study recommends that the policy of malaria diagnosis be changed such that the routine diagnosis of malaria is done by a combination of both microscopy and a RDT kit of high sensitivity and specificity so as to complement the errors associated with either of the methods. The finding of P. ovale in the study area necessitates an expanded molecular epidemiology of malaria within the study area.

Indexed as

AdolescentAdultAgedChildChild, PreschoolCoinfectionDiagnostic Tests, RoutineFemaleHumansMalariaMalaria, FalciparumMaleMicroscopyMiddle AgedNigeriaPlasmodium falciparumReagent Kits, DiagnosticDiagnosisMalariaMicroscopyPCRRDT

Identifiers

PMID28477621
PMCPMC5420404
OpenAlexW2611216251

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.