Evidence map›Paper›PMID 29915752›Full record

ArticleJournal of family medicine and primary care

Prevalence of nasal colonization of methicillin-resistant

Amit Kumar Singh, Loveleena Agarwal, Akash Kumar, Chandrim Sengupta, Ravinder Pal Singh

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Nasal Carriage and Methicillin Resistance ofInternational journal of microbiology · 2021
    Article
  3. Article
  4. Is methicillin-resistantRisk management and healthcare policy · 2018
    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

5 authors at 1 institution in 1 country.

Amit Kumar SinghDepartment of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh, India.
Loveleena AgarwalDepartment of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh, India.
Akash KumarDepartment of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh, India.
Chandrim SenguptaDepartment of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh, India.
Ravinder Pal SinghDepartment of Microbiology, Mayo Institute of Medical Sciences, Barabanki, Uttar Pradesh, India.
Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe study aimed to determine the prevalence of nasal colonization of methicillin-resistant MATERIALS AND

methodsSchool-going children of age group of 5-15 years were identified and selected according to the inclusion and exclusion criteria. Two nasal swabs were collected from each child as per the Centers for Disease Control and Prevention guidelines and transported to laboratory. Swabs were cultured on mannitol salt agar and 5% blood agar and incubated for 18-24 h at 37°C. Identification was done as per routine laboratory protocol. Detection of MRSA was done through cefoxitin 30 μg discs and D-zone test. Antibiotic susceptibility pattern of

resultsOut of 300 children, 140 (46.67%) were found to be nasal carriage for

conclusionWith the risk involved in transmission of infection, steps for identifying the carriers and its eradication should be carried out. Rational use of antibiotics should be given preference too.

Indexed as

Methicillin-resistance Staphylococcus aureusnasal colonizationStaphylococcus aureus

Identifiers

PMID29915752
PMCPMC5958561
OpenAlexW2800640290

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.