Evidence map›Paper›PMID 24421718›Full record

ArticleJournal of veterinary science2013

Development of a novel enzyme-linked immunosorbent assay to detect anti-IgG against swine hepatitis E virus.

Won Jung Lee, Min Kyoung Shin, Seung Bin Cha, Han Sang Yoo

Abstract readEvaluation Study
In one paragraph

Article in Journal of veterinary science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Seroprevalence ofViruses · 2022
    Article
  3. Article
  4. 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

4 authors.

Won Jung LeeDepartment of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul 151-742, Korea.
Min Kyoung ShinDepartment of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul 151-742, Korea.
Seung Bin ChaDepartment of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul 151-742, Korea.
Han Sang YooDepartment of Infectious Diseases, College of Veterinary Medicine, Seoul National University, Seoul 151-742, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Swine hepatitis E virus (HEV) is widespread throughout pigs in both developing and industrialized countries. This virus is an important zoonotic agent and a public concern worldwide. Infected pigs are asymptomatic, so diagnosing swine HEV relies on detection of the virus or antibodies against the virus. However, several obstacles need to be overcome for effective and practical serological diagnosis. In this study, we developed an enzyme-linked immunosorbent assay (ELISA) that used a purified recombinant capsid protein of swine HEV. The potential clinical use of this assay was evaluated by comparing it with a commercial kit (Genelabs Technologies, Diagnostics, Singapore). Results of the ELISA were highly correlated with those of the commercial kit with a sensitivity of 97% and specificity of 95%. ROC (receiving operator characteristic) analysis of the ELISA data produced a value of 0.987 (95% CI, 0.977~0.998, p < 0.01). The cut-off value for the ELISA was also determined using negative pig sera. In summary, the HEV-specific ELISA developed in the present study appears to be both practical and economical.

Indexed as

AnimalsAntibodies, Anti-IdiotypicCapsid ProteinsEnzyme-Linked Immunosorbent AssayHepatitis EHepatitis E virusImmunoglobulin GRecombinant ProteinsROC CurveSwineSwine DiseasesAntibodies, Anti-Idiotypicanti-IgGCapsid ProteinsImmunoglobulin GRecombinant ProteinsdiagnosisELISAswine hepatitis E virus

Identifiers

PMID24421718
PMCPMC3885741

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.