Evidence map›Paper›PMID 15240322›Full record

ArticleApplied and environmental microbiology2004

Combined immunomagnetic separation-molecular beacon-reverse transcription-PCR assay for detection of hepatitis A virus from environmental samples.

Khaled H Abd El Galil, M A El Sokkary, S M Kheira, Andre M Salazar, Marylynn V Yates, Wilfred Chen, Ashok Mulchandani

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
  2. Detection and evaluation of rotavirus surveillance methods as viral indicator in the aquatic environments.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Methods to detect infectious human enteric viruses in environmental water samples.International journal of hygiene and environmental health · 2011
    Review
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Article
  14. 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 at 2 institutions in 2 countries.

Khaled H Abd El GalilDepartment of Microbiology, Mansoura University, Egypt.
M A El Sokkary
S M Kheira
Andre M Salazar
Marylynn V Yates
Wilfred Chen
Ashok Mulchandani
Mansoura University · EGUniversity of California, Riverside · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a molecular-beacon-based real-time reverse transcription (RT)-PCR assay was developed to detect the presence of hepatitis A virus (HAV) in environmental samples. A 125-bp, highly conserved 5' noncoding region of HAV was targeted. The sensitivity of the real-time RT-PCR assay was tested with 10-fold dilutions of viral RNA, and a detection limit of 1 PFU was obtained. The specificity of the assay was demonstrated by testing with other environmental pathogens and indicator microorganisms, and only HAV was positively identified. When combined with immunomagnetic separation, the real-time RT-PCR assay successfully detected as few as 20 PFU in seeded groundwater samples. Because of its simplicity and specificity, this assay has broad applications for the rapid detection of HAV in contaminated foods or water.

Indexed as

Immunomagnetic SeparationWater MicrobiologyFresh WaterHepatitis A virusReverse Transcriptase Polymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID15240322
PMCPMC444796
OpenAlexW2154744300

What OpenQuestion holds

Textmetadata
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.