Evidence map›Paper›PMID 28775821›Full record

ArticleIranian journal of microbiology2017

Identification of different

Seyedeh Tina Miri, Amir Dashti, Saeid Mostaan, Farzaneh Kazemi, Saeid Bouzari

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Detection of zoonotic diarrheagenic pathotypes ofIranian journal of microbiology · 2020
    Article
  6. Resistance pattern ofIranian journal of microbiology · 2020
    Article
  7. Review
  8. Article
  9. Multi-Drug-Resistant DiarrheagenicInfection and drug resistance · 2020
    Article
  10. An overview of diarrheagenicJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2019
    Review
  11. Shigatoxigenic and atypical enteropathogenic Escherichia coli in fish for human consumption.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]
    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.

Seyedeh Tina MiriMolecular Biology Department, Pasteur Institute of Iran, Tehran, Iran.
Amir DashtiMolecular Biology Department, Pasteur Institute of Iran, Tehran, Iran.
Saeid MostaanMolecular Biology Department, Pasteur Institute of Iran, Tehran, Iran.
Farzaneh KazemiMolecular Biology Department, Pasteur Institute of Iran, Tehran, Iran.
Saeid BouzariMolecular Biology Department, Pasteur Institute of Iran, Tehran, Iran.
Pasteur Institute of Iran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDiarrhea is one of the most prevalent diseases in the world, specially in developing countries. One of the most important causative agents of bacterial diarrhea is diarrheagenic MATERIALS AND

methodsIn this study for identification of

resultsFinally 10 samples identified as ETEC (%5.88), 18 (%10.58) EPEC, 6 (%3.52) EHEC and 12 (7.05%) samples were STEC. None of the samples were positive for EAEC and EIEC.

conclusionThe results obtained in this study showed that ETEC, EPEC, EHEC and STEC are prevalent bacterial agents in north and north-west of Iran. Complementary studies to identify these pathotypes in other seasons can help to adopt necessary policies against outbreaks in Iran.

Indexed as

DiarrheaEscherichia coliIranPathotypes

Identifiers

PMID28775821
PMCPMC5534002
OpenAlexW2616272266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.