Evidence map›Paper›PMID 31367360›Full record

ArticleFood science & nutrition2019

Analysis of steroid hormones in shell eggs from layer breeds common to Taiwan by liquid chromatography-tandem mass spectrometry.

I-Chen Li, Wen-Yuan Yang, Chung-Hsi Chou, Yi-Chen Chen, Su-Lien Kuo, Sheng-Yao Wang

Abstract read
In one paragraph

Article in Food science & nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

I-Chen LiZoonoses Research Center and School of Veterinary Medicine National Taiwan University Taipei Taiwan.
Wen-Yuan YangDepartment of Basic Sciences, College of Veterinary Medicine Mississippi State University Starkville Mississippi.
Chung-Hsi ChouZoonoses Research Center and School of Veterinary Medicine National Taiwan University Taipei Taiwan.
Yi-Chen ChenDepartment of Animal Science and Technology National Taiwan University Taipei Taiwan.
Su-Lien KuoTechnical Service Center National Animal Industry Foundation Pingtung City Taiwan.
Sheng-Yao WangDepartment of Animal Science and Technology National Taiwan University Taipei Taiwan.ORCID https://orcid.org/0000-0003-2167-6803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Steroid hormones are often used in animal agriculture but are currently banned for use in domesticated fowl because residual hormones could be present in eggs for human consumption. Egg samples from eight common commercial poultry layer breeds (Hy-Line W-36, Hy-Line Brown, ISA-White, ISA-Brown, Lohnmann Ultra-Lite, Lohnmann-Brown, Hisex White, Hisex Brown) in Taiwan were screened for a combination of 15 natural and synthetic steroid hormones by liquid chromatography-tandem mass spectrometry (LC-MS/MS) for consumer assurance. Only natural hormones such as progesterone, 4-androstene-3,17-dione, and testosterone were detected. Regarding each breed, the interaction effect (age × shell color), main effect (age or shell color), and blocking effect (lighting system) were further analyzed by using 2 × 2 factorial arrangement of treatment in a randomized block design. We also discovered associations between yolk steroid hormone levels and laying hen age, as well as lighting conditions. Additionally, we found a correlation between hormone levels and eggshell color, suggesting a potential role in brown pigmentation. Ultimately, we concluded that detectable steroid hormone levels in eggs were not a consumer health risk. Furthermore, these data provide empirical hormone concentrations in various types of commercial layer breeds for future research.

Indexed as

4‐androstene‐3,17‐dioneliquid chromatography–tandem mass spectrometryprogesteroneshell eggstestosterone

Identifiers

PMID31367360
PMCPMC6657713

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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.