Evidence map›Paper›PMID 36719638›Full record

ReviewMolecular biotechnology2023

Diagnosis of Ruminant Viral Diseases with Loop-Mediated Isothermal Amplification.

Sanem Ayaz Kök, Selcen Üstün, Hümeyra Taşkent Sezgin

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Establishment of a Visual LAMP Technology and Detection ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  4. Review
  5. 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

3 authors at 1 institution in 1 country.

Sanem Ayaz KökBiotechnology Interdisciplinary Program, İzmir Institute of Technology, Gülbahçe, Urla, İzmir, Turkey, 35430.ORCID http://orcid.org/0000-0003-4312-0662
Selcen ÜstünBioengineering Department, İzmir Institute of Technology, Gülbahçe, Urla, İzmir, Turkey, 35430.ORCID http://orcid.org/0000-0001-8895-2951
Hümeyra Taşkent SezginBiotechnology Interdisciplinary Program, İzmir Institute of Technology, Gülbahçe, Urla, İzmir, Turkey, 35430. humeyrataskent@iyte.edu.tr.ORCID http://orcid.org/0000-0002-7630-4882
Izmir Institute of Technology · TR

Funding

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu 2210597
6 · The paper itself

Abstract

Infectious diseases in livestock industry are major problems for animal health, food safety, and the economy. Zoonotic diseases from farm animals are significant threat to human population as well. These are notifiable diseases listed by the World Organization for Animal Health (OIE). Rapid diagnostic methods can help keep infectious diseases under control in herds. Loop-mediated isothermal amplification (LAMP) is a simple and rapid nucleic acid amplification method that is studied widely for detection of many infectious diseases in the field. LAMP allows biosensing of target DNA or RNA under isothermal conditions with high specificity in a short period of time. An untrained user can analyze results based on color change or turbidity. Here we review LAMP assays to diagnose OIE notifiable ruminant viral diseases in literature highlighting properties of LAMP method considering what is expected from an efficient, field usable diagnostic test.

Indexed as

Communicable DiseasesVirus DiseasesAnimalsHumansMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRuminantsSensitivity and SpecificityInfectious diseasesIsothermal nucleic acid amplificationPen-side testingVeterinary diagnostics

Identifiers

PMID36719638
PMCPMC9888337
OpenAlexW4318667582

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.