ReviewTheScientificWorldJournal2020
A Review of the Health Implications of Heavy Metals in Food Chain in Nigeria.
Review in TheScientificWorldJournal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Assessment of heavy metal contamination in fish, fruits, and vegetables in Southwest Nigeria: A systematic review.F1000Research · 2024Pooled it
- Article
- Trehalose priming enhances chromium resilience in barley plants by modulating antioxidant defense, hormonal balance, endogenous trehalose, and nutrient homeostasis.BMC plant biology · 2026Article
- Lead pollution in soils within the African mining landscapes: current status, impacts, and nature-based interventions.Environmental monitoring and assessment · 2026Review
- Ovarian gonadal histomorphometric as bioindicators of lead contamination in stray cats from Jakarta and Surabaya, Indonesia.Open veterinary journal · 2026Article
- ICP-MS determination of trace metals in commercial cornflakes from the UAE market.Scientific reports · 2026Article
- Health risk assessment of potentially toxic elements in canned Pinto beans and Fava beans distributed in Gilan Province of Iran.Scientific reports · 2026Article
- Socioeconomic determinants, risk perception, and food safety concerns of African Giant snail consumption in Yenagoa Metropolis, Nigeria.Frontiers in public health · 2026Article
- Source apportionment, ecological and human health risk assessment of potentially toxic elements in Tumet River, Ethiopia.Toxicology reports · 2025Article
- Citric Acid-Assisted Electrokinetic Remediation of Arsenic and Metal-Rich Acidic Mine Pond Sediments.Toxics · 2025Article
- Toxic metal contamination and health risk assessment of packaged fruit juices for children in Gondar city, Ethiopia.Scientific reports · 2025Article
- Cornflakes as a source of dietary metal exposure in Lebanon: a risk assessment study.RSC advances · 2025Article
- Heavy metal contamination and health risks from dumpsite effluents in Enugu State Southeastern Nigeria.Environmental analysis, health and toxicology · 2025Article
- Nano-/Microrobots for Environmental Remediation in the Eyes of Nanoarchitectonics: Toward Engineering on a Single-Atomic Scale.Research (Washington, D.C.) · 2025Review
- Heavy Metal Contamination: Sources, Health Impacts, and Sustainable Mitigation Strategies with Insights from Nigerian Case Studies.F1000Research · 2025Review
- Article
- Evaluation of selected minerals and health risk and proximate analysis of wasawasa (a street food).Toxicology reports · 2024Article
- Article
- Relationship between blood lead (Pb) concentration with risk of diabetes mellitus in women living in mining area.Narra J · 2024Article
- A comprehensive investigation of geoenvironmental pollution and health effects from municipal solid waste landfills.Environmental geochemistry and health · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Heavy metals such as Zn, Pb, Fe, and Cu are abundant in the environment and contribute largely to the sustainability and equilibrium of ecosystem processes. However, because of their bioaccumulation, nondegradability, and the excessive amounts in which they exist, these metals contaminate the food chain and subsequently become a source of toxicity to human beings and the entire ecological function. This is a major issue of concern within the study of environmental science and geochemistry. Although there is a global significance to the issue, it seems more immediate for the developing countries (DCs) such as Nigeria, where the pressure of the teeming population escalates the exigency for human sustainability, food security, and total eradication of hunger. Within the Nigerian context, many studies have examined this all-important issue, but most of these studies are fragmented and limited within the purview of mostly individual states and localities within the country. Taken on a wider geographical scale, the discussions and perspectives of these studies on heavy metal contamination of the food chain offer insufficient insight and expose merely a snapshot of the actual situation. As a result of this, a country-wide knowledge base of the implications of heavy metals on the food chain is lacking. Thus, the present study synthesises existing literature and their findings to create a knowledge base on the vulnerability of the food chain in Nigeria. Aquatic foods, fruits, vegetables, and major staple food such as tubers are the major host of carcinogenic and mutagenic components of heavy metals in Nigeria. This study motivates the Standard Organisation of Nigeria (SON), along with other food and agricultural agencies, to intensify their efforts in monitoring and analysing food components, and we advise consumers to eat with certain degrees of caveat.
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Registered trials
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.