Evidence map›Paper›PMID 29134117›Full record

ArticleFuture science OA2017

Identification of nonserotypeable

Muthuirulandi Sethuvel Dhiviya Prabaa, Devanga Ragupathi Naveen Kumar, Inbanathan Francis Yesurajan, Shalini Anandan, Walia Kamini, Veeraraghavan Balaji

Abstract read
In one paragraph

Article in Future science OA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Virulence gene profiles ofPathogens and global health · 2019
    Article
  6. 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

6 authors.

Muthuirulandi Sethuvel Dhiviya PrabaaDepartment of Clinical Microbiology, Christian Medical College, Vellore - 632 004, India.
Devanga Ragupathi Naveen KumarDepartment of Clinical Microbiology, Christian Medical College, Vellore - 632 004, India.
Inbanathan Francis YesurajanDepartment of Clinical Microbiology, Christian Medical College, Vellore - 632 004, India.
Shalini AnandanDepartment of Clinical Microbiology, Christian Medical College, Vellore - 632 004, India.
Walia KaminiDivision of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi - 110 029, India.
Veeraraghavan BalajiDepartment of Clinical Microbiology, Christian Medical College, Vellore - 632 004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimSequencing technology has replaced conventional methods in identifying and characterizing bacterial pathogens. We characterized 23 nonserotypeable MATERIALS &

methodsGenome sequences were analyzed using online tools based on 16S rRNA, k-mer,

resultsThe SpeciesFinder using 16S rRNA sequences identified only 74% of the isolates, whereas KmerFinder and

conclusionThis study shows that whole genome sequencing approach for

Indexed as

IncF plasmidk-mernonserotypeable ShigellaO-antigen gene clusterwhole genome sequencing

Identifiers

PMID29134117
PMCPMC5674244

What OpenQuestion holds

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Registered trials

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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.