Evidence map›Paper›PMID 33009945›Full record

ArticleParasitology research2020

Effectiveness of Fasciola gigantica excretory-secretory and recombinant cathepsin L antigens for rapid diagnosis of human fascioliasis using immunochromatographic devices.

Lakkhana Sadaow, Hiroshi Yamasaki, Yasuyuki Morishima, Oranuch Sanpool, Rutchanee Rodpai, Penchom Janwan, Patcharaporn Boonroumkaew, Wanchai Maleewong, Pewpan M Intapan

Abstract readEvaluation Study
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In one paragraph

Article in Parasitology research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 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

9 authors at 3 institutions in 2 countries.

Lakkhana SadaowDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Hiroshi YamasakiDepartment of Parasitology, Ministry of Health, Labour and Welfare, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Yasuyuki MorishimaDepartment of Parasitology, Ministry of Health, Labour and Welfare, National Institute of Infectious Diseases, Tokyo, 162-8640, Japan.
Oranuch SanpoolDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Rutchanee RodpaiDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Penchom JanwanDepartment of Medical Technology, School of Allied Health Sciences, Walailak University, Nakhon Si Thammarat, 80161, Thailand.
Patcharaporn BoonroumkaewDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Wanchai MaleewongDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand.
Pewpan M IntapanDepartment of Parasitology and Excellence in Medical Innovation, and Technology Research Group, Faculty of Medicine, Khon Kaen University, Khon Kaen, 40002, Thailand. pewpan@kku.ac.th.ORCID https://orcid.org/0000-0002-2138-8783
Khon Kaen University · THMinistry of Health Labour and Welfare · JPWalailak University · TH

Funding

Japan Agency for Medical Research and Development Kansensho Jitsuyoka-Ippan grant nos. JP17fk0108119, JP18fk0108046, JP19fk0108046Khon Kaen University DR63101Khon Kaen University Post-Doctoral Training Program of the Graduate School and Research Affairs (grant no 60164)Thailand Research Fund DPG6280002
6 · The paper itself

Abstract

Fascioliasis, a food- and water-borne trematodiasis, has been identified as a public health threat by the World Health Organization, with millions of people estimated to be infected or at risk of infection worldwide. We developed an immunochromatographic test (ICT) as a point-of-care (POC) tool for the rapid serodiagnosis of human fascioliasis caused by Fasciola gigantica and evaluated their diagnostic ability. Two tests were developed using antigens from adult F. gigantica excretory-secretory (ES) product and recombinant F. gigantica cathepsin L (rFgCL). Sera from 12 patients with parasitologically proven fascioliasis caused by F. gigantica, 18 with clinically suspected fascioliasis, 65 with other parasitic infections, and 30 healthy controls were used. Using a cutoff of > 0.5 for antibody detection, the sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the ES-based ICT method were 100%, 98.9% 96.8%, 100%, and 99.2%, respectively, and those of the rFgCL-based ICT method were 86.7%, 93.7%, 81.3%, 95.7%, and 92.0%, respectively. The concordance between the two methods was 91.2%. Tests using F. gigantica ES and rFgCL antigens can be employed quickly and easily as POC diagnostic tools. They can be used to support the clinical diagnosis of human fascioliasis gigantica and in large-scale surveys in endemic areas throughout tropical regions without necessitating additional facilities or ancillary supplies.

Indexed as

AnimalsAntibodies, HelminthAntigens, HelminthCathepsin FCathepsin LChromatography, AffinityFasciolaFascioliasisHumansPoint-of-Care TestingSensitivity and SpecificitySerologic TestsAntibodies, HelminthAntigens, HelminthCathepsin FCathepsin LAntibody detectionHuman fascioliasisImmunochromatographic testPoint-of-care testSerodiagnosis

Identifiers

PMID33009945
OpenAlexW3089731733

What OpenQuestion holds

Textmetadata
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.