Evidence map›Paper›PMID 24056564›Full record

ArticleThe Indian journal of medical research2013

A sensitive & specific multiplex PCR assay for simultaneous detection of Bacillus anthracis, Yersinia pestis, Burkholderia pseudomallei & Brucella species.

Sai Arun Batra, S Krupanidhi, Urmil Tuteja

Open access · greenAbstract read
In one paragraph

Article in The Indian journal of medical research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Multiplex PCR System for the Diagnosis of Plague.Current molecular medicine · 2025
    Review
  2. Review
  3. Deliberate release: Plague - A review.Journal of biosafety and biosecurity · 2020
    Review
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Sai Arun BatraDivision of Microbiology, Defence Research & Development Establishment (DRDO), Gwalior, India.
S Krupanidhi
Urmil Tuteja
Defence Research and Development Establishment · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND &

objectivesBacillus anthracis, Yersinia pestis, Burkholderia pseudomallei and Brucella species are potential biowarfare agents. Classical bacteriological methods for their identification are cumbersome, time consuming and of potential risk to the handler.

methodsWe describe a sensitive and specific multiplex polymerase chain reaction (mPCR) assay involving novel primers sets for the simultaneous detection of B. anthracis, Y. pestis, B. pseudomallei and Brucella species. An additional non-competitive internal amplification control (IAC) was also included.

resultsThe mPCR was found to be specific when tested against closely related organisms. The sensitivity of the assay in spiked blood samples was 50 colony forming units (cfus)/25 μl reaction, for the detection of B. anthracis, Y. pestis and Brucella species; and 150 cfus/25 μl reaction, for B. pseudomallei. The assay proved useful in correctly and promptly identifing the clinical isolates of the targeted agents recovered from patients, compared to the gold standard culture methods. INTERPRETATION &

conclusionThe assay described in this study showed promise to be useful in application as a routine detection cum diagnostic method for these pathogens.

Indexed as

Bacillus anthracisBase SequenceBrucellaBurkholderia pseudomalleiDNA PrimersHumansMultiplex Polymerase Chain ReactionSensitivity and SpecificityYersinia pestisDNA Primers

Identifiers

PMID24056564
PMCPMC3767250
OpenAlexW1862349678

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.