Evidence map›Paper›PMID 39697660›Full record

ArticleFrontiers in microbiology2024

Molecular surveillance and antimicrobial susceptibility profile of bacterial contamination in pastries of Iranian confectioneries: a public health concern.

Shiva Hosseini, Tahereh Motallebirad, Mohammad Reza Mohammadi, Mehdi Safarabadi, Zeynab Beheshti, Mohammad Ali Orouji, Omid Mardanshah, Davood Azadi

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In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Shiva HosseiniDepartment of Genetics, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran.
Tahereh MotallebiradDepartment of Research and Development, Satras Biotechnology Company, Islamic Azad University of Khomein, Khomein, Iran.
Mohammad Reza MohammadiDepartment of Bacteriology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Mehdi SafarabadiDepartment of Nursing, Khomein University of Medical Sciences, Khomein, Iran.
Zeynab BeheshtiDepartment of Nursing, Khomein Branch, Islamic Azad University, Khomein, Iran.
Mohammad Ali OroujiDepartment of Nursing, Khomein University of Medical Sciences, Khomein, Iran.
Omid MardanshahDepartment of Parasitology and Mycology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Davood AzadiDepartment of Research and Development, Satras Biotechnology Company, Islamic Azad University of Khomein, Khomein, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microbial contamination in food products such as pastries, poses a significant public health concern due to the potential risks of foodborne infection and outbreak, Therefore, to prevent these infections, it is essential to investigate the frequency and extent of microbial contamination as well as the level of drug resistance in pastries. Due to this issue, our study aimed to assess the microbial diversity and the drug susceptibility patterns of microbial pollutants in pastry shops in Markazi province, Iran. Methods: The study involved collecting 120 pastry samples from 30 pastry shops in Markazi province, Iran. The isolates were identified using a series of biochemical, phenotypic, and molecular assays, including specific PCR and 16S rRNA gene sequencing. Drug susceptibility testing (AST) was performed by using the Kirby-Bauer method according to the CLSI 2023 guidelines. Results and discussion: A total of 56 isolates (46.66%) were recovered from 120 pastries samples, The most prevalent species isolated in the current study were

Indexed as

16s rRNAASTmicrobial contaminationmicrobial pollutionpastries

Identifiers

PMID39697660
PMCPMC11652498

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