Evidence map›Paper›PMID 27493827›Full record

ArticleMalaria research and treatment2016

Cost-Effectiveness and Validity Assessment of Cyscope Microscope, Quantitative Buffy Coat Microscope, and Rapid Diagnostic Kit for Malaria Diagnosis among Clinic Attendees in Ibadan, Nigeria.

Abiodun Ogunniyi, Magbagbeola David Dairo, Hannah Dada-Adegbola, Ikeoluwapo O Ajayi, Adebola Olayinka, Wellington A Oyibo, Olufunmilayo I Fawole, Olufemi Ajumobi

Abstract read
In one paragraph

Article in Malaria research and treatment, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Costs and Cost-Effectiveness of Malaria Control Interventions: A Systematic Literature Review.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Pooled it
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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

8 authors.

Abiodun OgunniyiNigeria Field Epidemiology and Laboratory Training Program, Abuja 900231, Nigeria; Department of Medical Microbiology, University College Hospital, Ibadan 200281, Nigeria; Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan 200281, Nigeria.ORCID 0000-0002-6625-9192
Magbagbeola David DairoDepartment of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan 200281, Nigeria.ORCID 0000-0003-4891-0698
Hannah Dada-AdegbolaDepartment of Medical Microbiology, University College Hospital, Ibadan 200281, Nigeria.
Ikeoluwapo O AjayiNigeria Field Epidemiology and Laboratory Training Program, Abuja 900231, Nigeria; Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan 200281, Nigeria.
Adebola OlayinkaNigeria Field Epidemiology and Laboratory Training Program, Abuja 900231, Nigeria; Department of Medical Microbiology, Ahmadu Bello University, Zaria 810105, Nigeria.
Wellington A OyiboDepartment of Medical Microbiology, College of Medicine, University of Lagos, Lagos 100283, Nigeria.
Olufunmilayo I FawoleNigeria Field Epidemiology and Laboratory Training Program, Abuja 900231, Nigeria; Department of Epidemiology and Medical Statistics, College of Medicine, University of Ibadan, Ibadan 200281, Nigeria.
Olufemi AjumobiNigeria Field Epidemiology and Laboratory Training Program, Abuja 900231, Nigeria; National Malaria Elimination Program, Federal Ministry of Health, Abuja 900211, Nigeria.ORCID 0000-0002-2652-1205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background. Unavailability of accurate, rapid, reliable, and cost-effective malaria diagnostic instruments constitutes major a challenge to malaria elimination. We validated alternative malaria diagnostic instruments and assessed their comparative cost-effectiveness. Method. Using a cross-sectional study design, 502 patients with malaria symptoms at selected health facilities in Ibadan between January and April 2014 were recruited consecutively. We examined malaria parasites using Cyscope®, QBC, and CareStart™ and results were compared to light microscopy (LM). Validity was determined by assessing sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Costs per hour of use for instruments and turnaround time were determined. Result. Sensitivity of the instruments was 76.0% (CareStart), 95.0% (Cyscope), and 98.1% (QBC). Specificity was 96.0% (CareStart), 87.3% (Cyscope), and 85.5% (QBC). PPV were 65.2%, 67.5%, and 84.7%, while NPV were 93.6%, 98.6%, and 99.4% for CareStart, Cyscope, and QBC with Kappa values of 0.75 (CI = 0.68-0.82) for CareStart, 0.72 (CI = 0.65-0.78) for Cyscope, and 0.71 (CI = 0.64-0.77) for QBC. Average cost per hour of use was the lowest ($2.04) with the Cyscope. Turnaround time was the fastest with Cyscope (5 minutes). Conclusion. Cyscope fluorescent microscope had the shortest turnaround time and is the most cost-effective of all the malaria diagnostic instruments evaluated.

Identifiers

PMID27493827
PMCPMC4963599

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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.