Evidence map›Paper›PMID 39678985›Full record

ArticleIndian journal of microbiology2024

Microbial Diversity and Resistome in Milk of Cows with Subclinical Mastitis in a Coastal District of Odisha, India.

Sonali Sahoo, Manas Ranjan Behera, Biswajit Mishra, Sonali Kar, Priyadarshini Sahoo, Niranjana Sahoo, Sangram Biswal

Abstract read
In one paragraph

Article in Indian journal of microbiology, 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. Distribution of Antibiotic Resistance Genes inAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Article
  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

7 authors.

Sonali SahooSchool of Public Health, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024 India.ORCID 0000-0003-3061-0574
Manas Ranjan BeheraSchool of Public Health, Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024 India.ORCID 0000-0003-4785-5949
Biswajit MishraCenturion University, Bhubaneswar, Odisha 752050 India.ORCID 0000-0001-6288-5383
Sonali KarDepartment of Community Medicine, Kalinga Institute of Medical Sciences (KIMS), Kalinga Institute of Industrial Technology (KIIT) University, Bhubaneswar, Odisha 751024 India.ORCID 0000-0001-6405-2641
Priyadarshini SahooVeterinary Epidemiology and Preventive Medicine, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003 India.ORCID 0000-0002-7098-7280
Niranjana SahooVeterinary Epidemiology and Preventive Medicine, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003 India.ORCID 0000-0002-7946-7986
Sangram BiswalVeterinary Epidemiology and Preventive Medicine, Odisha University of Agriculture and Technology, Bhubaneswar, Odisha 751003 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mastitis is a globally prevalent bacterial disease of lactating cows. Prevention and control of this multi-etiological complex disease relies upon administration of antibiotics. This has led to the emergence of newer multi-drug resistant strains. In the current study, milk samples from subclinical mastitis cows and their healthy counterparts were subjected to Illumina-based whole genome metagenome sequencing to explore bacterial communities and antibiotic resistance genes associated with mastitis-affected and healthy udder. Bovine milk microbiome in subclinical mastitis-affected cows were dominated by pathogenic bacteria such as

Indexed as

Antibiotic resistance genesLactating cowsMicrobiomeResistant strains

Identifiers

PMID39678985
PMCPMC11645381

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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.