Evidence map›Paper›PMID 34078631›Full record

SynthesisBMJ global health2021

Accuracy of malaria diagnostic tests performed on non-invasively collected samples: a systematic review and meta-analysis.

Celestin Danwang, Jean Jacques Noubiap, Jacob Souopgui, Jean Gaudart, Jean Cyr Yombi, Annie Robert

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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  5. 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

6 authors at 5 institutions in 3 countries.

Celestin DanwangEpidemiology and Biostatistics Unit, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium danram07@yahoo.fr.ORCID 0000-0002-7976-4331
Jean Jacques NoubiapCentre for Heart Rhythm Disorders, University of Adelaide and Royal Adelaide Hospital, Adelaide, South Australia's, Australia.
Jacob SouopguiDepartment of Molecular Biology, Universite Libre de Bruxelles, Gosselies, Belgium.ORCID 0000-0003-1526-4431
Jean GaudartAix Marseille Univ, IRD, INSERM, SESSTIM, ISSPAM, Marseille, France.ORCID 0000-0001-9006-5729
Jean Cyr YombiDepartment of Internal Medicine and Infectious Diseases, Cliniques Universitaires Saint-Luc, Brussels, Belgium.
Annie RobertEpidemiology and Biostatistics Unit, Institut de Recherche Expérimentale et Clinique, Université catholique de Louvain, Brussels, Belgium.
UCLouvain · BECliniques Universitaires Saint-Luc · BEInserm · FRRoyal Adelaide Hospital · AUUniversité Libre de Bruxelles · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the last decade, many studies have assessed the performance of malaria tests on non-invasively collected specimens, but no systematic review has hitherto estimated the overall performance of these tests. We report here the first meta-analysis estimating the diagnostic performance of malaria diagnostic tests performed on saliva, urine, faeces, skin odour ('sniff and tell') and hair, using either microscopy or PCR on blood sample as reference test.

methodsWe searched on PubMed, EMBASE, African Journals Online and Cochrane Infectious Diseases from inception until 19 January 2021 for relevant primary studies. A random effects model was used to estimate the overall performance of various diagnostic methods on different types of specimen.

resultsEighteen studies providing 30 data sets were included in the meta-analysis. The overall sensitivity, specificity and diagnostic OR (DOR) of PCR were 84.5% (95% CI 79.3% to 88.6%), 97.3% (95% CI 95.3% to 98.5%) and 184.9 (95% CI 95.8 to 356.9) in saliva, respectively; 57.4% (95% CI 41.4% to 72.1%), 98.6% (95% CI 97.3% to 99.3%) and 47.2 (95% CI 22.1 to 101.1) in urine, respectively. The overall sensitivity, specificity and DOR of rapid diagnostic test for malaria in urine was 59.8% (95% CI 40.0% to 76.9%), 96.9% (95% CI 91.0% to 99.0%) and 30.8 (95% CI:23.5 to 40.4).

conclusionIn settings where PCR is available, saliva and urine samples should be considered for PCR-based malaria diagnosis only if blood samples cannot be collected. The performance of rapid diagnostic testing in the urine is limited, especially its sensitivity. Malaria testing on non-invasively collected specimen still needs substantial improvement.

Indexed as

Diagnostic Tests, RoutineMalariaHumansMicroscopyPolymerase Chain ReactionSensitivity and Specificitymalariapublic Health

Identifiers

PMID34078631
PMCPMC8173286
OpenAlexW3164930485

What OpenQuestion holds

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LicenceCC BY-NC
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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.