Evidence map›Paper›PMID 35993068›Full record

ArticleVeterinary world2022

Isolation, identification, and antibiogram studies of

Fateha Akther Ema, Rifat Noor Shanta, Md Zaminur Rahman, Md Ariful Islam, Mst Minara Khatun

Open access · goldAbstract read
In one paragraph

Article in Veterinary world, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 24 citations in OpenAlex.

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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.

Fateha Akther EmaDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Rifat Noor ShantaDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Zaminur RahmanDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Md Ariful IslamDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Mst Minara KhatunDepartment of Microbiology and Hygiene, Bangladesh Agricultural University, Mymensingh, Bangladesh.
Bangladesh Agricultural University · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Ready-to-eat (RTE) foods are widely used at home, restaurants, and during festivals in Bangladesh. So it is very important to investigate possible microbial contamination in RTE foods. Therefore, this study aimed to determine the total coliform count (TCC), isolate, identify, and characterize the Materials and Methods: A total of 100 RTE food samples were collected aseptically and comprised of ten samples each: Burger, pizza, sandwich, chicken roll, chicken meat loaf, chicken fry, salad vegetable, ice-cream, yogurt, and milkshake sold in Mymensingh City. Samples were inoculated onto Eosin methylene blue agar and incubated at 37°C for 24 h. Isolation and identification of bacteria were performed based on cultural, staining, and biochemical properties, followed by a polymerase chain reaction. Results: The TCC in Chicken meat loaf, burger, pizza, sandwich, salad vegetable ice-cream, and yogurt samples were 3.57 ± 0.96, 3.69 ± 0.08, 3.50 ± 0.60, 2.60 ± 0.20, 4.09 ± 0.29, 4.44 ± 0.25, and 3.14 ± 0.30 mean log colony-forming units ± standard deviation/mL, respectively. The study found a higher prevalence of Conclusion: The study revealed that RTE foods are a serious issue from a public health point of view. To achieve a safer level of

Indexed as

antibiogram profileEscherichia coliprevalenceready-to-eat foods

Identifiers

PMID35993068
PMCPMC9375222
OpenAlexW4282919013

What OpenQuestion holds

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LicenceCC BY
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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.