Evidence map›Paper›PMID 38779593›Full record

ArticleInternational journal of food science2024

Health Risk Assessment of Potentially Toxic Elements Contamination of Commonly Consumed Fruits in Bahir Dar Town, Northwest Ethiopia.

Biset Asrade Mekonnen, Muluabay Getie Yizengaw, Haile Kassahun, Gebremariam Ketema

Abstract read
In one paragraph

Article in International journal of food science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

4 authors.

Biset Asrade MekonnenDepartment of Pharmacy, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, P.O. Box 79, Ethiopia.ORCID https://orcid.org/0000-0001-8799-7146
Muluabay Getie YizengawDepartment of Biochemistry, College of Medicine and Health Sciences, Bahir Dar University, Bahir Dar, P.O. Box 79, Ethiopia.
Haile KassahunDepartment of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0002-7867-0982
Gebremariam KetemaDepartment of Pharmacy, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.ORCID https://orcid.org/0000-0001-5761-0780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Excess accumulation of potentially toxic elements in frequently consumed fruits is a serious threat to human health. The aim of this study was to determine the levels of cadmium (Cd), chromium (Cr), copper (Cu), and lead (Pb) and to estimate the noncarcinogenic and carcinogenic health risks associated with their daily intake in commonly consumed fruits in Bahir Dar town, northwest Ethiopia. Methods: Three types of fruits (mango, banana, and orange) were collected using a simple random sampling method from open markets in Bahir Dar town. Wet digestion was used, and the concentration of potentially toxic elements was analyzed in the edible portion of the fruits. The average daily intake (ADI), hazard quotient (HQ), hazard index (HI), and target cancer risk (TCR) were estimated to assess the human health risks posed by the intake of those potentially toxic elements from the consumption of the studied fruits. Results: The concentrations of Cr and Cu were lower than the maximum limit of normal values in mango, banana, and orange. However, the Pb and Cd concentrations (mg kg Conclusion: The study revealed that the consumption of mango fruit in the studied areas may pose noncarcinogenic and carcinogenic adverse health effects.

Identifiers

PMID38779593
PMCPMC11111305

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.