Evidence map›Paper›PMID 29912980›Full record

ArticlePloS one2018

Prevalence of antibiotic resistance in commensal Escherichia coli among the children in rural hill communities of Northeast India.

Ashish Kumar Singh, Saurav Das, Samer Singh, Varsha Rani Gajamer, Nilu Pradhan, Yangchen Doma Lepcha, Hare Krishna Tiwari

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Fluoroquinolone Resistance Patterns in Multidrug-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  7. Article
  8. Investigating theRSC advances · 2025
    Article
  9. Antibiotic resistance profiles ofOpen veterinary journal · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Genetic characterization of multidrug-resistantFrontiers in cellular and infection microbiology · 2024
    Article
  14. Antioxidant and Antimicrobial Evaluations ofMolecules (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Reduced susceptibility to carbapenems inThe Pan African medical journal · 2023
    Article
  17. Article
  18. Article
  19. The Resistance Patterns inTropical medicine and infectious disease · 2022
    Article
  20. High Prevalence ofInfection & chemotherapy · 2022
    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.

Ashish Kumar SinghDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, Sikkim, India.
Saurav DasDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, Sikkim, India.
Samer SinghDepartment of Microbial Biotechnology, Panjab University, Chandigarh, India.
Varsha Rani GajamerDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, Sikkim, India.
Nilu PradhanDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, Sikkim, India.
Yangchen Doma LepchaState Institute of Rural Development, Government of Sikkim, Gangtok, Sikkim, India.
Hare Krishna TiwariDepartment of Microbiology, School of Life Sciences, Sikkim University, Gangtok, Sikkim, India.ORCID 0000-0002-7773-5211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commensal bacteria are the representative of the reservoir of antibiotic resistance genes present in a community. The usage of antibiotics along with the demographic factors is generally associated with an increase in antibiotics resistance in pathogens. Northeast (NE) India is untapped with regard to antibiotic resistance prevalence and spread. In the current study, the prevalence of antibiotic-resistant commensal Escherichia coli in pre-school and school-going children (n = 550, 1-14 years old) from the rural areas of the state of Sikkim-an NE Indian state, with respect to associated demographic factors was investigated. A total of 550 fecal E. coli isolates were collected during July 2015 to June 2017. A structured questionnaire was used to collect data to ascertain the potential factors associated with the carriage of antibiotic resistance E. coli among the children. Statistical analysis along with a logistic regression identified potential external factors affecting the observed antibiotic resistance pattern. The data indicated a high prevalence of resistance to common antibiotics like ampicillin (92%), ceftazidime (90%), cefoxitin (88%), streptomycin (40%) and tetracycline (36%), but no resistance to chloramphenicol. The resistance to the combination of penicillin and quinolone group of antibiotics was observed in fifty-two percent of the isolates. A positive correlation between the harboring of antibiotics resistant E. coli with different demographic factors was observed such as, with children living in nuclear family (vs joint family 63.15%, OR 0.18, 95% CI:0.11-0.28, p < 0.01), below higher secondary maternal education (vs college graduates 59.27% OR 0.75, 95% CI:0.55-1.02, p < 0.02). A close association between different demographic factors and the high prevalence of antibiotic-resistant commensal E. coli in the current study suggests a concern over rising misuse of antibiotics that warrants a future threat of emergence of multidrug-resistant pathogen isolates.

Indexed as

Anti-Bacterial AgentsChildCluster AnalysisDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEscherichia coliEscherichia coli InfectionsFemaleHumansIndiaLogistic ModelsMalePrevalenceAnti-Bacterial Agents

Identifiers

PMID29912980
PMCPMC6005495

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.