Evidence map›Paper›PMID 27619013›Full record

ArticleBMC public health2016

The prevalence of malaria in people living with HIV in Yaounde, Cameroon.

Anna Longdoh Njunda, Charles Njumkeng, Shey Dickson Nsagha, Jules Clement Nguedia Assob, Tebit Emmanuel Kwenti

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. HIV-1 Infection Is Associated With Increased Prevalence and Abundance ofFrontiers in cellular and infection microbiology · 2020
    Article
  11. Observational
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  16. Article
  17. Identification of theTropical medicine and health · 2017
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  18. Inhibition ofFrontiers in cellular and infection microbiology · 2017
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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

5 authors at 1 institution in 1 country.

Anna Longdoh NjundaDepartment of Medical Laboratory Sciences, University of Buea, P.O. Box 63, Buea, Cameroon.
Charles NjumkengDepartment of Medical Laboratory Sciences, University of Buea, P.O. Box 63, Buea, Cameroon.
Shey Dickson NsaghaDepartment of Public Health and Hygiene, University of Buea, P.O. Box 63, Buea, Cameroon.
Jules Clement Nguedia AssobDepartment of Medical Laboratory Sciences, University of Buea, P.O. Box 63, Buea, Cameroon.
Tebit Emmanuel KwentiDepartment of Medical Laboratory Sciences, University of Buea, P.O. Box 63, Buea, Cameroon. kwentitebit@yahoo.com.
University of Buea · CM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoinfection with malaria and HIV is common in Sub-Saharan Africa. In the advent of a decline in the global incidence of malaria, it is important to generate updated data on the burden of malaria in people living with HIV (PLWHIV). This study was designed to determine the prevalence of malaria in PLWHIV in Yaounde, Cameroon, as well determine the association between CD4 (+) T cell count and malaria in the study population.

methodsIn a cross sectional study performed between April 2015 and June 2016, 355 PLWHIV were enrolled and blood samples were collected for analysis. Complete blood count was performed using an automated haematology analyser (Mindray®, BC-2800) and CD4 (+) T cell count was performed using a flow cytometer (BD FASCount™). Giemsa-stained blood films were examined to detect malaria parasite. The Pearson's chi-square, student's T-test, ANOVA, and correlation analysis were all performed as part of the statistical analyses.

resultsThe prevalence of malaria observed in the study was 7.3 % (95 % CI: 4.8-10.6). No significant association was observed between the prevalence of malaria and age or gender. The prevalence of malaria was higher in participants who were not sleeping in insecticide treated bed nets, ITNs (p < 0.001); and in participants who were not on cotrimoxazole prophylaxis (p = 0.002). The prevalence of malaria (p < 0.001) and malaria parasite density (p = 0.005) were observed to be progressively higher in participants with CD4 (+) T cell count below 200cells/μl. Furthermore, the mean CD4 (+) T cell count was observed to be lower in participants coinfected with malaria compared to non-coinfected participants (323.5 vs 517.7) (p < 0.001). In this study, a negative correlation was observed between malaria parasite density and CD4 (+) T cell count (p = 0.019).

conclusionsA low prevalence of malaria was observed in the study population. Some of the factors accounting for the low prevalence of malaria in this study population may include the health seeking habit of PLWHIV, the use of cotrimoxazole based chemoprophylaxis, and their cautious use of ITNs.

Indexed as

AdultAntimalarialsCameroonCoinfectionCross-Sectional StudiesFemaleHIV InfectionsHumansIncidenceInsecticide-Treated BednetsMalariaMaleMiddle AgedPre-Exposure ProphylaxisPrevalenceTrimethoprim, Sulfamethoxazole Drug CombinationAntimalarialsTrimethoprim, Sulfamethoxazole Drug CombinationCameroonCD4 + T cell countCoinfectionCotrimoxazoleITNsMalariaPeople living with HIVPrevalence

Identifiers

PMID27619013
PMCPMC5376676
OpenAlexW2518881604

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.