Evidence map›Paper›PMID 29205191›Full record

ArticleThe Indian journal of medical research2017

Investigation into a community outbreak of

Swathi Purighalla, Saritha Esakimuthu, Mallika Reddy, Tara Seth, Sunita D Patil, George K Varghese, Raghunath Dasarathy, Vijay S Richard, Vasan K Sambandamurthy

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2017. 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
–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

4 citing papers in PubMed.

  1. Environmental health insights · 2026
    Review
  2. A Systemic Review on Fitness and Survival ofIndian journal of microbiology · 2024
    Review
  3. Article
  4. Typhoid Outbreaks, 1989-2018: Implications for Prevention and Control.The American journal of tropical medicine and hygiene · 2020
    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

9 authors.

Swathi PurighallaDepartment of Hospital Infection Control, Narayana Health City, Bengaluru, India.
Saritha EsakimuthuDepartment of Microbiology, Narayana Health City, Bengaluru, India.
Mallika ReddyDepartment of Microbiology, Narayana Health City, Bengaluru, India.
Tara SethDepartment of Microbiology, Narayana Health, Bengaluru, India.
Sunita D PatilDepartment of Pathology & Microbiology, Command Hospital, Bengaluru, India.
George K VargheseDepartment of Hospital Infection Control, Narayana Health City, Bengaluru, India.
Raghunath DasarathySir Dorabji Tata Center for Research in Tropical Diseases, Innovation Center, Indian Institute of Science Campus, Bengaluru, India.
Vijay S RichardDepartment of Hospital Infection Control, Narayana Health City, Bengaluru, India.
Vasan K SambandamurthyMazumdar Shaw Centre for Translational Research, Narayana Health City, Bengaluru, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesOutbreaks of infection due to Salmonella enterica servovar Typhi (S. Typhi) are a great threat to public health. A rapid molecular typing method to characterize strains implicated in an outbreak is critical in implementing appropriate control measures. This study was done to demonstrate the power of a PCR-based method to provide rapid insights into the genetic relatedness amongst the Salmonella isolates implicated in a suspected typhoid fever outbreak.

methodsForty two S. Typhi isolates originating from three geographically distinct areas, with one area suspected to have a single-source outbreak were included in the study. The genetic fingerprint of all isolates was generated using enterobacterial repetitive intergenic consensus sequence based-PCR (ERIC-PCR). The antimicrobial susceptibility profiles were also evaluated.

resultsERIC-PCR was found to be rapid and reproducible with a discriminatory index of 0.766. The dendrogram constructed based on ERIC-PCR fingerprinting revealed the existence of 12 distinct genotypes. The location suspected to have an outbreak displayed two genotypes amongst the 24 isolates. The other two locations (18 isolates) displayed genetic heterogeneity. The clonality of the outbreak isolates from the time-matched control isolates was established. The observed antimicrobial susceptibility profiles did not have any discriminatory power to subtype the isolates compared to the genetic fingerprints. INTERPRETATION &

conclusionsOur study demonstrated the discriminatory power and value of ERIC-PCR in the typing of S. Typhi isolates and providing valuable epidemiological insights.

Indexed as

Bacterial Typing TechniquesDisease OutbreaksGenetic HeterogeneityGenotypeHumansIndiaPolymerase Chain ReactionSalmonella typhiTyphoid Fever

Identifiers

PMID29205191
PMCPMC5735566

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.