Evidence map›Paper›PMID 31219088›Full record

ArticleThe Indian journal of medical research2019

Phenotypic & genotypic study of antimicrobial profile of bacteria isolates from environmental samples.

Santhosh Kogaluru Shivakumaraswamy, Vijaya Kumar Deekshit, Rajeshwari Vittal, Dharnappa Sannejal Akhila, Dechamma Muthappa Mundanda, Juliet Roshini Mohan Raj, Anirban Chakraborty, Indrani Karunasagar

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Antibiotics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Genetic Characterization of Antibiotic ResistantFrontiers in microbiology · 2022
    Article
  10. Article
  11. Article
  12. Assessment and Antibiotic Resistance Profiling inAntibiotics (Basel, Switzerland) · 2021
    Article
  13. 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.

Santhosh Kogaluru ShivakumaraswamyDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Vijaya Kumar DeekshitDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Rajeshwari VittalDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Dharnappa Sannejal AkhilaDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Dechamma Muthappa MundandaDepartment of Fisheries Microbiology, College of Fisheries, Mangaluru, India.
Juliet Roshini Mohan RajDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Anirban ChakrabortyDivision of Infectious Diseases, Nitte University Centre for Science Education and Research, Mangaluru, India.
Indrani KarunasagarNitte University Centre for Science Education and Research, Mangaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: The resistance to antibiotics in pathogenic bacteria has increased at an alarming rate in recent years due to the indiscriminate use of antibiotics in healthcare, livestock and aquaculture. In this context, it is necessary to monitor the antibiotic resistance patterns of bacteria isolated from the environmental samples. This study was conducted to determine the phenotypic and genotypic profile of antimicrobial resistance in Gram-negative bacteria isolated from environmental samples. Methods: Two hundred and fifty samples were collected from different sources, viz. fish and fishery products (99), livestock wastes (81) and aquaculture systems (70), in and around Mangaluru, India. Isolation, identification and antimicrobial profiling were carried out as per standard protocols. The isolates were screened for the presence of resistance genes using PCR. Results: A total of 519 Gram-negative bacteria comprising Escherichia coli (116), Salmonella spp. (14), Vibrio spp. (258), Pseudomonas spp. (56), Citrobacter spp. (26) and Proteus spp. (49) were isolated and characterized from 250 samples obtained from different sources. A total of 12 antibiotics were checked for their effectiveness against the isolates. While 31.6 per cent of the isolates were sensitive to all the antibiotics used, 68.4 per cent of the isolates showed resistance to at least one of the antibiotics used. One-third of the isolates showed multidrug resistance. Maximum resistance was observed for ampicillin (43.4%), followed by nitrofurantoin (20.8%). Least resistance was seen for carbapenems and chloramphenicol. PCR profiling of the resistant isolates confirmed the presence of resistance genes corresponding to their antibiotic profile. Interpretation & conclusions: This study results showed high rate of occurrence of antimicrobial resistance and their determinants in Gram-negative bacteria isolated from different environmental sources.

Indexed as

Environmental MicrobiologyAnti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliGram-Negative BacteriaHumansIndiaMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial resistanceenvironmental samplesgenotypic characterizationmultidrug resistance

Identifiers

PMID31219088
PMCPMC6563738

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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.