Evidence map›Paper›PMID 35177002›Full record

ArticleBMC bioinformatics2022

Assessment of potential human health risks in aquatic products based on the heavy metal hazard decision tree.

Hao-Hsiang Ku, Pinpin Lin, Min-Pei Ling

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

3 authors at 2 institutions in 1 country.

Hao-Hsiang KuInstitute of Food Safety and Risk Management, National Taiwan Ocean University, Keelung City, 20224, Taiwan.
Pinpin LinNational Institute of Environmental Health Sciences, National Health Research Institutes, Zhunan Town, Miaoli County, 35053, Taiwan.
Min-Pei LingDepartment of Food Science, National Taiwan Ocean University, Keelung City, 20224, Taiwan. mpling@email.ntou.edu.tw.ORCID http://orcid.org/0000-0002-4127-2753
National Taiwan Ocean University · TWNational Health Research Institutes · TW

Funding

Ministry of Science and Technology, Taiwan MOST 108-2221-E-019 -046 -MY2Ministry of Science and Technology, Taiwan MOST 109-2221-E-019-033National Health Research Institutes NHRI-106A1-PDCO-2917172National Health Research Institutes NHRI-EM-110-GP-01
6 · The paper itself

Abstract

backgroundNaturally existing and human-produced heavy metals are released into the environment and cannot be completely decomposed by microorganisms, but they continue to accumulate in water and sediments, causing organisms to be exposed to heavy metals.

resultsThis study designs and proposes heavy metal hazard decision trees for aquatic products, which are divided into seven categories including pelagic fishes, inshore fishes, other fishes, crustaceans, shellfish, cephalopods, and algae. Based on these classifications, representative fresh and processed seafood products are at the root of the heavy metal hazard decision trees. This study uses 2,107 cases of eating 556 cooked fresh or processed seafood product samples. The constructions of the proposed decision trees consist of 12 heavy metals, which include inorganic arsenic (iAs), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), iron (Fe), manganese (Mn), nickel (Ni), lead (Pb), strontium (Sr), thallium (Tl), and zinc (Zn). The heavy metal concentrations in cooked fresh and processed seafood product samples are subjected to a food safety risk assessment.

conclusionsThe results indicate the relationships among the seven categories of aquatic products, the relationships among 12 heavy metals in aquatic products, and the relationships among potential human health risks. Finally, the proposed heavy metal hazard decision trees for aquatic products can be used as a reference model for researchers and engineers.

Indexed as

Environmental MonitoringMetals, HeavyAnimalsDecision TreesFishesHumansRisk AssessmentMetals, HeavyDecision treeFood safety risk assessmentHeavy metalPotential human health risk

Identifiers

PMID35177002
PMCPMC8855555
OpenAlexW4212911452

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.