Evidence map›Paper›PMID 23864742›Full record

ArticleThe Korean journal of parasitology2013

Serodiagnosis of echinococcosis by ELISA using cystic fluid from Uzbekistan sheep.

Yan Jin, Khikmat Anvarov, Abdukhakim Khajibaev, Samin Hong, Sung-Tae Hong

Abstract read
In one paragraph

Article in The Korean journal of parasitology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Novel Designed Sandwich ELISA for the Detection ofTropical medicine and infectious disease · 2023
    Article
  5. Modelling diagnostics forOne health (Amsterdam, Netherlands) · 2022
    Article
  6. Article
  7. An Imported Case of Disseminated Echinococcosis in Korea.The Korean journal of parasitology · 2019
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

5 authors.

Yan JinDepartment of Parasitology and Tropical Medicine, Institute of Endemic Diseases, Seoul National University, College of Medicine, Seoul 110-799, Korea.
Khikmat Anvarov
Abdukhakim Khajibaev
Samin Hong
Sung-Tae Hong

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

According to increase of travel, the cases of imported echinococcosis have been increasing in Korea. The present study was undertaken to develop a serodiagnostic system for echinococcosis in Korea. For diagnosis of echinococcosis, the fluid of Echinococcus granulosus hydatid cysts was collected from naturally infected sheep in Uzbekistan. Also serum samples of infected patients who were surgically confirmed were collected in a hospital in Tashkent, Uzbekistan. According to the absorbance of 59 echinococcosis positive and 39 negative control serum samples, the cut-off value was determined as 0.27. The sensitivity and specificity of ELISA with hydatid fluid antigen were 91.5% and 96%, respectively. The antigen cross-reacted with the serum of some cysticercosis or clonorchiasis patients. However, immunoblot analysis on the cystic fluid recognized antigenic proteins of 7-, 16-, and 24-kDa bands in their dominant protein quantity and strong blotting reactivity. In conclusion, the present ELISA system using hydatid cyst fluid antigen from Uzbekistan sheep is sensitive and specific for diagnosis of echinococcosis cases.

Indexed as

AdolescentAdultAgedAnimalsEchinococcosisEnzyme-Linked Immunosorbent AssayHumansMiddle AgedSerologic TestsSheepSheep DiseasesUzbekistanYoung Adultcystic fluid antigenechinococcosisEchinococcus granulosusELISAserodiagnosis

Identifiers

PMID23864742
PMCPMC3712105

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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.