Evidence map›Paper›PMID 24172232›Full record

ArticleMalaria journal2013

Prevalence of clinically captured and confirmed malaria among HIV seropositve clinic attendants in five hospitals in Ghana.

Dennis Adu-Gyasi, Caterina I Fanello, Frank Baiden, John D H Porter, Dan Korbel, George Adjei, Emmanuel Mahama, Alexander Manu, Kwaku Poku Asante, Sam Newton and 1 more

Abstract read
In one paragraph

Article in Malaria journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

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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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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4 · The record

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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

11 authors.

Dennis Adu-GyasiKintampo Health Research Centre, P, O, Box 200, Kintampo North, Ghana. adugyasidennis@yahoo.co.uk.
Caterina I Fanello
Frank Baiden
John D H Porter
Dan Korbel
George Adjei
Emmanuel Mahama
Alexander Manu
Kwaku Poku Asante
Sam Newton
Seth Owusu-Agyei

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is associated with an increase in HIV viral load and a fall in CD4-cell count. Conversely, HIV infection disrupts the acquired immune responses to malaria and the efficacy of antimalarial drugs. This study was carried out in five Ghanaian hospitals to estimate the prevalence of clinically confirmed malaria among HIV patients by evaluating their hospital records.

methodsThis retrospective descriptive cross sectional study reviewed and collected data on malaria, using Case Record Forms from HIV patients' folders in five hospitals in Ghana.

resultsThere were 933 patients records made up of 272 (29.2%) males and 661 (70.8%) females. Majority of the patients were aged between 21-40 (63.6%) years and the rest were between the ages 1-20 (2.8%) years, 41-60 (31.6%) years and 61-80 (2.1%) years of age.A total of 38.1% (355/933) of the patients were clinically suspected of having clinical malaria. Of these 339 (95.5%) were referred to the laboratory for confirmation of the diagnosis of malaria. Only 4.4% (15/339) of patients tested were confirmed as cases of malaria among the patients that were clinically suspected of having malaria and subsequently confirmed. Fever, was not significantly associated with a confirmed diagnosis of malaria [OR = 3.11, 95% CI: (0.63, 15.37), P = 0.142].

conclusionsThere was a 4.4% prevalence of confirmed malaria and 38.1% of presumptively diagnosed malaria from the case records of HIV patients from the selected hospitals in Ghana.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleGhanaHIV InfectionsHospitalsHumansInfantMalariaMaleMiddle Aged

Identifiers

PMID24172232
PMCPMC4228460

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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.