Evidence map›Paper›PMID 35153404›Full record

ArticleVeterinary world2021

Detection of microbial contamination in chicken meat from local markets in Surabaya, East Java, Indonesia.

Dhandy Koesoemo Wardhana, Ajeng Erika Prihastuti Haskito, Muhammad Thohawi Elziyad Purnama, Devi Ayu Safitri, Suwaibatul Annisa

Abstract read
In one paragraph

Article in Veterinary world, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  14. Investigation of the Efficacy of aSensors (Basel, Switzerland) · 2024
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  15. 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.

Dhandy Koesoemo WardhanaDepartment of Veterinary Sciences, Division of Veterinary Public Health, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.
Ajeng Erika Prihastuti HaskitoLaboratorium of Veterinary Public Health, Faculty of Veterinary Medicine, Universitas Brawijaya, Malang 65151, Indonesia.
Muhammad Thohawi Elziyad PurnamaDepartment of Veterinary Sciences, Division of Veterinary Anatomy, Faculty of Veterinary Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.
Devi Ayu SafitriFaculty of Veterinary Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.
Suwaibatul AnnisaFaculty of Veterinary Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimChicken meat can be contaminated by microorganisms anywhere in the supply chain, from farm to market, and these microorganisms can be transmitted to humans through direct contact, contact with the environment, and food consumption. The microbial contamination has a serious impact on public health. This study aimed to analyze the microbial contamination of chicken meat sampled from local markets in Surabaya, East Java, Indonesia. MATERIALS AND

methodsA total of 60 samples of fresh chicken meat obtained from 10 traditional markets (six samples per market) were examined for the presence of bacteria.

resultsMost chicken meat samples were positive for

conclusionHigh microbial contamination was found in all the chicken meat sampled from local markets in Surabaya. Such contamination can lead to foodborne diseases so, proper hygiene and sanitation standards should be followed from slaughterhouses to the end-users.

Indexed as

chicken meatlocal marketsmicrobial contaminationpublic healthSurabaya

Identifiers

PMID35153404
PMCPMC8829415

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.