Evidence map›Paper›PMID 33579923›Full record

ArticleNature communications2021

Magneto-optical diagnosis of symptomatic malaria in Papua New Guinea.

L Arndt, T Koleala, Á Orbán, C Ibam, E Lufele, L Timinao, L Lorry, Á Butykai, P Kaman, A P Molnár and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

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  7. Narrative Review of the Control and Prevention of Knowlesi Malaria.Tropical medicine and infectious disease · 2022
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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

19 authors at 8 institutions in 4 countries.

L Arndt *Institute of Natural Materials Technology, University of Technology, Dresden, Germany.
T Koleala *Vector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
Á Orbán *Department of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
C IbamVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
E LufeleVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.ORCID 0000-0003-1512-2556
L TiminaoVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.ORCID 0000-0001-8295-8316
L LorryVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
Á ButykaiDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
P KamanVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
A P MolnárDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary.
S KrohnsExperimental Physics 5, Center for Electronic Correlations and Magnetism, University of Augsburg, Augsburg, Germany.ORCID 0000-0002-0477-1465
E NateVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
I KucseraNational Public Health Center, Budapest, Hungary.
E OroszNational Public Health Center, Budapest, Hungary.
B MooreSchool of Pharmacy, Curtin University, Bentley, WA, Australia.
L J RobinsonVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
M LamanVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea.
I KézsmárkiDepartment of Physics, Budapest University of Technology and Economics, Budapest, Hungary. istvan.kezsmarki@physik.uni-augsburg.de.
S KarlVector-borne Diseases Unit, PNG Institute of Medical Research, Madang, Madang Province, Papua New Guinea. stephan.karl@jcu.edu.au.ORCID 0000-0002-4294-6481
Papua New Guinea Institute of Medical Research · PGBudapest University of Technology and Economics · HUAustralian Institute of Tropical Health and Medicine · AUNational Public Health and Medical Officer Service · HUUniversity of Augsburg · DEBurnet Institute · AUCurtin University · AUTechnische Universität Dresden · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Improved methods for malaria diagnosis are urgently needed. Here, we evaluate a novel method named rotating-crystal magneto-optical detection (RMOD) in 956 suspected malaria patients in Papua New Guinea. RMOD tests can be conducted within minutes and at low cost. We systematically evaluate the capability of RMOD to detect infections by directly comparing it with expert light microscopy, rapid diagnostic tests and polymerase chain reaction on capillary blood samples. We show that compared to light microscopy, RMOD exhibits 82% sensitivity and 84% specificity to detect any malaria infection and 87% sensitivity and 88% specificity to detect Plasmodium vivax. This indicates that RMOD could be useful in P. vivax dominated elimination settings. Parasite density correlates well with the quantitative magneto-optical signal. Importantly, residual hemozoin present in malaria-negative patients is also detectable by RMOD, indicating its ability to detect previous infections. This could be exploited to reveal transmission hotspots in low-transmission settings.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolDiagnostic Tests, RoutineFemaleHemeproteinsHumansMalariaMalaria, VivaxMaleMicroscopyMiddle AgedOptical DevicesHemeproteinshemozoin

Identifiers

PMID33579923
PMCPMC7881035
OpenAlexW3126857208

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.