Evidence map›Paper›PMID 24712340›Full record

ArticleBMC public health2014

Symptomatic malaria diagnosis overestimate malaria prevalence, but underestimate anaemia burdens in children: results of a follow up study in Kenya.

Joseph K Choge, Ng'wena G Magak, Willis Akhwale, Julius Koech, Moses M Ngeiywa, Elijah Oyoo-Okoth, Fabian Esamai, Odipo Osano, Christopher Khayeka-Wandabwa, Eliningaya J Kweka

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.3field-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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
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  9. Antiplasmodial Activity of 80% Methanolic Extract and Solvent Fractions of Stem Bark ofEvidence-based complementary and alternative medicine : eCAM · 2022
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  10. Malaria Prevalence and Distribution ofJournal of parasitology research · 2022
    Review
  11. Review
  12. Malaria research and treatment · 2019
    Review
  13. Diagnostic tools in childhood malaria.Parasites & vectors · 2018
    Review
  14. Article
  15. 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 7 institutions in 3 countries.

Joseph K Choge
Ng'wena G Magak
Willis Akhwale
Julius Koech
Moses M Ngeiywa
Elijah Oyoo-OkothSchool Natural Resources and Environmental Studies, Karatina University, P,O, Box 1957-10101, Karatina, Kenya. elijaoyoo2009@yahoo.com.
Fabian Esamai
Odipo Osano
Christopher Khayeka-Wandabwa
Eliningaya J Kweka
Moi University · KEKaratina University · KEJomo Kenyatta University of Agriculture and Technology · KEMinistry of Health · KETropical Pesticides Research Institute · TZUniversity of Eldoret · KEUniversity of Kabianga · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe commonly accepted gold standard diagnostic method for detecting malaria is a microscopic reading of Giemsa-stained blood films. However, symptomatic diagnosis remains the basis of therapeutic care for the majority of febrile patients in malaria endemic areas. This study aims to compare the discrepancy in malaria and anaemia burdens between symptomatic diagnosed patients with those diagnosed through the laboratory.

methodsData were collected from Western Kenya during a follow-up study of 887 children with suspected cases of malaria visiting the health facilities. In the laboratory, blood samples were analysed for malaria parasite and haemoglobin levels. Differences in malaria prevalence between symptomatic diagnosis and laboratory diagnosis were analysed by Chi-square test. Bayesian probabilities were used for the approximation of the malaria and anaemia burdens. Regression analysis was applied to: (1) determine the relationships between haemoglobin levels, and malaria parasite density and (2) relate the prevalence of anaemia and the prevalence of malaria.

resultsThe prevalence of malaria and anaemia ranged from 10% to 34%, being highest during the rainy seasons. The predominant malaria parasite was P. falciparum (92.3%), which occurred in higher density in children aged 2‒5 years. Fever, high temperature, sweating, shivering, vomiting and severe headache symptoms were associated with malaria during presumptive diagnosis. After conducting laboratory diagnosis, lower malaria prevalence was reported among the presumptively diagnosed patients. Surprisingly, there were no attempts to detect anaemia in the same cohort. There was a significant negative correlation between Hb levels and parasite density. We also found a positive correlation between the prevalence of anaemia and the prevalence of malaria after laboratory diagnosis indicating possible co-occurrence of malaria and anaemia.

conclusionSymptomatic diagnosis of malaria overestimates malaria prevalence, but underestimates the anaemia burden in children. Good clinical practice dictates that a laboratory should confirm the presence of parasites for all suspected cases of malaria.

Indexed as

AdolescentAnemiaBayes TheoremChildChild, PreschoolComorbidityFemaleFollow-Up StudiesHemoglobinsHumansInfantKenyaMalariaMalePrevalenceRegression AnalysisHemoglobins

Identifiers

PMID24712340
PMCPMC3996101
OpenAlexW2022525272

What OpenQuestion holds

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LicenceCC BY
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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.