Evidence map›Paper›PMID 31219094›Full record

ArticleThe Indian journal of medical research2019

Antibiotic-resistant

Madhu Gupta, Gunjan Didwal, Shruti Bansal, Kanica Kaushal, Nitya Batra, Vikas Gautam, Pallab Ray

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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A One Health Review of Community-Acquired Antimicrobial-ResistantInternational journal of environmental research and public health · 2021
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Priestia flexa KS1: A new bacterial strain isolated from human faeces implicated in mucin degradation.International microbiology : the official journal of the Spanish Society for Microbiology · 2023
    Article
  8. Observational
  9. Antimicrobial resistance: Call for rational antibiotics practice in India.Journal of family medicine and primary care · 2020
    Review
  10. Distribution of Antibiotic-ResistantFrontiers in microbiology · 2020
    Article
  11. 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

7 authors.

Madhu GuptaDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Gunjan DidwalAdvanced Paediatrics Center, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Shruti BansalDepartment of Pathology & Microbiology, University of Nebraska Medical Center, Omaha, NE, USA.
Kanica KaushalDepartment of Community Medicine, School of Public Health, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Nitya BatraDepartment of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Vikas GautamDepartment of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Pallab RayDepartment of Medical Microbiology, Postgraduate Institute of Medical Education & Research, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives: Rampant use of β-lactam antibiotics in both community and hospitals has transformed the human healthy intestinal gut flora into a reservoir of antibiotic-resistant organisms. This study was conducted to find the faecal presence of antibiotic-resistant Enterobacteriaceae in faecal samples in the community in north India. Methods: In this prospective study, 207 stool samples were collected from apparently healthy individuals residing in a semiurban community in Chandigarh, India, from August to October, 2015. Isolates belonging to family Enterobacteriaceae were identified using matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS), and antibiotic susceptibility was determined using Clinical Laboratory Standard Institute disc diffusion method. Detection of extended spectrum β-lactamases (TEM, SHV, OXA-1, CTXM 1, CTXM 2, CTXM 9 and CTXM 8/25), carbapenemases (IMP, VIM and KPC) and New Delhi metallo-β-lactamase was done by multiplex PCR. Results: Of the population studied, 55.5 per cent were females and 60 per cent were illiterate or had only primary education; 43.4 per cent individuals were aged <20 yr. Overall, 70.5 per cent of stool samples had antibiotic-resistant isolates. Maximum resistance was seen for cephalosporins (60.4%) followed by fluoroquinolones (41.5%). The multidrug-resistant (MDR) isolates were 2.4 per cent. The most commonly detected genes were TEM, SHV, OXA-1, CTXM-1, CTXM-2, CTXM-9 and CTXM-8/25 β-lactamases. Escherichia coli was the most common resistant isolate, and TEM was the most common gene detected. Interpretation & conclusions: Overall, 70.5 per cent members of Enterobacteriaceae had antibiotic resistance in the community and 2.4 per cent were MDR. Higher resistance rates were observed for most commonly used drugs such as cephalosporins and fluoroquinolones. High rate of antibiotic-resistant Enterobacteriaceae in gut of healthy individuals points towards the need for active screening and prevention of dissemination.

Indexed as

Adultbeta-LactamasesCephalosporinsDrug Resistance, BacterialEnterobacteriaceaeEnterobacteriaceae InfectionsEscherichia coliFecesFemaleGastrointestinal MicrobiomeHumansIndiaMaleMiddle AgedPseudomonas aeruginosaSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationbeta-LactamasesCephalosporinsAntimicrobial resistancecommunity healthEnterobacteriaceaeextended-spectrum βgut resistomelactamasesmultidrug-resistant organisms

Identifiers

PMID31219094
PMCPMC6563735

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.