Evidence map›Paper›PMID 29985913›Full record

ArticlePloS one2018

Diagnostic performance of urinary IgG antibody detection: A novel approach for population screening of strongyloidiasis.

Chatanun Eamudomkarn, Paiboon Sithithaworn, Christine Kamamia, Anna Yakovleva, Jiraporn Sithithaworn, Sasithorn Kaewkes, Anchalee Techasen, Watcharin Loilome, Puangrat Yongvanit, Chompunoot Wangboon and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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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

13 authors at 4 institutions in 3 countries.

Chatanun EamudomkarnDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Paiboon SithithawornDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID 0000-0002-9480-1778
Christine KamamiaDepartment of Microbiology, Immunology & Tropical Medicine, George Washington University, Washington, D.C., United States of America.
Anna YakovlevaDepartment of Microbiology, Immunology & Tropical Medicine, George Washington University, Washington, D.C., United States of America.
Jiraporn SithithawornFaculty of Associated Medical Sciences, Khon Kaen University, Khon Kaen, Thailand.
Sasithorn KaewkesDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Anchalee TechasenCholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand.
Watcharin LoilomeCholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand.
Puangrat YongvanitCholangiocarcinoma Research Institute (CARI), Khon Kaen University, Khon Kaen, Thailand.
Chompunoot WangboonBiomedical Science Program, Graduate School, Khon Kaen University, Khon Kaen, Thailand.
Prasert SaichuaTropical Medicine Program, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Makoto ItohDepartment of Infection and Immunology, Aichi Medical University School of Medicine, Nagakute, Aichi, Japan.
Jeffrey M BethonyDepartment of Microbiology, Immunology & Tropical Medicine, George Washington University, Washington, D.C., United States of America.
Khon Kaen University · THGeorge Washington University · USAichi Medical University · JPMahasarakham University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of strongyloidiasis by coprological methods has a low sensitivity, underestimating the prevalence of Strongyloides stercoralis in endemic areas. Serodiagnostic tests for strongyloidiasis have shown robust diagnostic properties. However, these methods require a blood draw, an invasive and labor-intensive sample collection method, especially in the resource-limited settings where S. stercoralis is endemic. Our study examines a urine-based assay for strongyloidiasis and compares its diagnostic accuracy with coprological and serological methods. Receiver operating characteristic (ROC) curve analyses determined the diagnostic sensitivity (D-Sn) and specificity (D-Sp) of the urine ELISA, as well as estimates its positive predictive value and diagnostic risk. The likelihood ratios of obtaining a positive test result (LR+) or a negative test result (LR-) were calculated for each diagnostic positivity threshold. The urine ELISA assay correlated significantly with the serological ELISA assay for strongyloidiasis, with a D-Sn of 92.7% and a D-Sp of 40.7%, when compared to coprological methods. Moreover, the urine ELISA IgG test had a detection rate of 69%, which far exceeds the coprological method (28%). The likelihood of a positive diagnosis of strongyloidiasis by the urine ELISA IgG test increased significantly with increasing units of IgG detected in urine. The urine ELISA IgG assay for strongyloidiasis assay has a diagnostic accuracy comparable to serological assay, both of which are more sensitive than coprological methods. Since the collection of urine is easy and non-invasive, the urine ELISA IgG assay for strongyloidiasis could be used to screen populations at risk for strongyloidiasis in S. stercoralis endemic areas.

Indexed as

Endemic DiseasesAdultAgedAnimalsAntibodies, HelminthAntigens, HelminthCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFecesFemaleHumansImmunoglobulin GMaleMiddle AgedPredictive Value of TestsProspective StudiesAntibodies, HelminthAntigens, HelminthImmunoglobulin G

Identifiers

PMID29985913
PMCPMC6037348
OpenAlexW2865387857

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.