Evidence map›Paper›PMID 39728949›Full record

ArticleVeterinary sciences2024

Epidemiology and Molecular Characterisation of Multidrug-Resistant

Zarin Tasnim Mim, Chandan Nath, Abdullah Al Sattar, Rijwana Rashid, Mehedy Hasan Abir, Shahneaz Ali Khan, Md Abul Kalam, Shahanaj Shano, Rowland Cobbold, John I Alawneh and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary sciences, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
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

11 authors.

Zarin Tasnim MimFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Chandan NathFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0003-2040-0266
Abdullah Al SattarSchool of Psychology, University of New England, Armidale, NSW 2350, Australia.
Rijwana RashidFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Mehedy Hasan AbirFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0001-6658-4625
Shahneaz Ali KhanFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.
Md Abul KalamGlobal Health and Development Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA.
Shahanaj ShanoGlobal Health and Development Program, Laney Graduate School, Emory University, Atlanta, GA 30322, USA.
Rowland CobboldFaculty of Science and Engineering, Southern Cross University, East Lismore, NSW 2480, Australia.
John I AlawnehPlant Biosecurity and Product Integrity, Biosecurity Queensland, Department of Agriculture and Fisheries, Brisbane, QLD 4000, Australia.
Mohammad Mahmudul HassanFaculty of Veterinary Medicine, Chattogram Veterinary and Animal Sciences University, Chattogram 4225, Bangladesh.ORCID 0000-0001-6495-4637

Funding

Bangladesh Bureau of Education Information and Statistics (BANBEIS), Ministry of Education, People's Republic of Bangladesh SD-2019967
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a growing global concern and poses a significant threat to public health. The emergence of multidrug-resistant organisms, including

Indexed as

antimicrobial resistanceE. colimultidrug resistancepublic healthraw cow milk

Identifiers

PMID39728949
PMCPMC11680316

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.