Evidence map›Paper›PMID 21943212›Full record

ArticleDiagnostic pathology2011

Fluorescence microscope (Cyscope) for malaria diagnosis in pregnant women in Medani Hospital, Sudan.

Saad El-Din H Hassan, Abd Elrahium D Haggaz, Ehab B Mohammed-Elhassan, Elfatih M Malik, Ishag Adam

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Article in Diagnostic pathology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 9% 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

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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

11 citing papers in PubMed, 26 citations in OpenAlex.

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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 3 institutions in 1 country.

Saad El-Din H HassanFederal Ministry of Health, P O Box 325, Khartoum, Sudan.
Abd Elrahium D Haggaz
Ehab B Mohammed-Elhassan
Elfatih M Malik
Ishag Adam
University of Gezira · SDNational Centre for Research · SDUniversity of Khartoum · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccuracy of diagnosis is the core for malaria control. Although microscopy is the gold standard in malaria diagnosis, its reliability is largely dependent on user skill. We compared performance of Cyscope fluorescence microscope with the Giemsa stained light microscopy for the diagnosis of malaria among pregnant women at Medani Hospital in Central Sudan. The area is characterized by unstable malaria transmission.

methodsSocio-demographic characteristics and obstetrics history were gathered using pre-tested questionnaires. Blood samples were collected from febrile pregnant women who were referred as malaria case following initial diagnosis by general microscopist.

resultsDuring the study period 128 febrile pregnant women presented at the hospital. Among them, Plasmodium falciparum malaria was detected in 82 (64.1%) and 80 (62.5%) by the Giemsa-stained light microscopy and the Cyscope fluorescence microscope, respectively. The sensitivity of the Cyscope fluorescence microscope was 97.6% (95% CI: 92.2%-99.6%). Out of 46 which were negative by Giemsa-stained light microscopy, 5 were positive by the Cyscope fluorescence microscope. This is translated in specificity of 89.1% (95% CI: 77.5%-95.9%). The positive and negative predictive value of Cyscope fluorescence microscope was 94.1% (95% CI: 87.4% -97.8%) and 95.3% (95% CI: 85.4% - 99.2%), respectively.

conclusionThis study has shown that Cyscope fluorescence microscope is a reliable diagnostic, sensitive and specific in diagnosing P. falciparum malaria among pregnant women in this setting. Further studies are needed to determine effectiveness in diagnosing other Plasmodium species and to compare it with other diagnostic tools e.g. rapid diagnostic tests and PCR.

Indexed as

AdultFemaleHumansMalaria, FalciparumMicroscopy, FluorescencePregnancyPregnancy Complications, ParasiticSensitivity and SpecificitySudan

Identifiers

PMID21943212
PMCPMC3189106
OpenAlexW1969971773

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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.