Evidence map›Paper›PMID 36718340›Full record

ArticleVeterinary world2022

Isolation of multidrug-resistant

Mohammad Amdadul Haque, Muhammad Tofazzal Hossain, Md Shafiqul Islam, Md Zahorul Islam, Purba Islam, Sourendra Nath Shaha, Mahmudul Hasan Sikder, Kazi Rafiq

Abstract read
In one paragraph

Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Multidrug-resistantVeterinary world · 2026
    Article
  2. Review
  3. Shiga toxin-producingMicrobiology and molecular biology reviews : MMBR · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Antibiotic Resistance Profile ofMicroorganisms · 2024
    Article
  8. Article
  9. 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

8 authors.

Mohammad Amdadul HaqueDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Muhammad Tofazzal HossainDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Shafiqul IslamDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Zahorul IslamDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Purba IslamDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Sourendra Nath ShahaDirectorate of Livestock Services, Farmgate, Dhaka, Bangladesh.
Mahmudul Hasan SikderDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Kazi RafiqDepartment of Pharmacology, Bangladesh Agricultural University, Mymensingh, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The bovine industry is threatened by one of the most serious and deadly enteric diseases, calf diarrhea, particularly in developing nations like Bangladesh. In this context, bacterial resistance to antimicrobial drugs and its detrimental consequences have become a critical public health issue that is difficult to address globally. This study aimed to isolate and identify Materials and Methods: Twelve diarrheic calves suffering from calf diarrhea in a dairy farm were selected and a total of 36 fecal samples were aseptically collected directly from rectum before, during, and at the end of treatment for each calf to determine the total viable count, total Results: A total of 36 Conclusion: These findings suggest that MDR

Indexed as

antimicrobial resistancecalfdiarrheaEscherichia colimultidrug-resistantSalmonella spp

Identifiers

PMID36718340
PMCPMC9880849

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.