Evidence map›Paper›PMID 32411741›Full record

ArticleFrontiers in veterinary science2020

Introduction and Application of the Interferon-γ Assay in the National Bovine Tuberculosis Control Program in South Korea.

Yun-Ho Jang, Tae-Woon Kim, Min Kyu Jeong, Yoon Jeong Seo, Soyoon Ryoo, Chan Ho Park, Sin Seok Kang, Young Ju Lee, Soon-Seek Yoon, Jae Myung Kim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. An ELISA test using a circulatingFrontiers in veterinary science · 2024
    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

10 authors at 3 institutions in 1 country.

Yun-Ho JangBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Tae-Woon KimBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Min Kyu JeongBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Yoon Jeong SeoBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Soyoon RyooFoot and Mouth Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Chan Ho ParkGangwondo Livestock & Veterinary Service, Chuncheon-si, South Korea.
Sin Seok KangChungcheongbukdo Livestock & Veterinary Service, Chungju-si, South Korea.
Young Ju LeeCollege of Veterinary Medicine, Kyungpook National University, Daegu, South Korea.
Soon-Seek YoonBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Jae Myung KimBacterial Disease Division, Animal and Plant Quarantine Agency, Gimcheon-si, South Korea.
Animal and Plant Quarantine Agency · KRGyeongsangnam-do Agricultural Research and Extension Services · KRKyungpook National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine tuberculosis is a chronic disease impacting both public health and the livestock industry. The interferon (IFN)-γ assay has been introduced as an ancillary test for diagnosing bovine tuberculosis to overcome limitations of the skin test. The objective of this study was to assess the IFN-γ assay in terms of diagnostics and as a nationwide surveillance program in South Korea. From 2012 to 2013, cattle (

Indexed as

bovine tuberculosiscattleCFTIFN-γMycobacterium bovis

Identifiers

PMID32411741
PMCPMC7198753
OpenAlexW3018465642

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.