ArticlePorto biomedical journal
Kidney cancer. Heavy metals as a risk factor.
Article in Porto biomedical journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- Alzheimer's Disease and Circulatory Imbalance of Toxic Heavy Metals: A Systematic Review and Meta-analysis of Clinical Studies.Biological trace element research · 2025Pooled it
- Article
- Analysis of the concentration of heavy metals in soil, vegetables and water around the bole Lemi industry park, Ethiopia.Heliyon · 2022Article
- Elucidating of potentially toxic elements contamination in topsoils around a copper smelter: Spatial distribution, partitioning and risk estimation.Environmental geochemistry and health · 2022Article
- Coffee intake and trace element blood concentrations in association with renal cell cancer among smokers.Cancer causes & control : CCC · 2022Article
- Diarrhoea among Children Aged under Five Years and Risk Factors in Informal Settlements: A Cross-Sectional Study in Cape Town, South Africa.International journal of environmental research and public health · 2021Article
- Delineating colorectal cancer distribution, interaction, and risk prediction by environmental risk factors and serum trace elements.Scientific reports · 2020Article
- Metal-Dependent DNAzymes for the Quantitative Detection of Metal Ions in Living Cells: Recent Progress, Current Challenges, and Latest Results on FRET Ratiometric Sensors.Inorganic chemistry · 2019Review
- Evolution of human health risk based on EPA modeling for adults and children and pollution level of potentially toxic metals in Rafsanjan road dust: a case study in a semi-arid region, Iran.Environmental science and pollution research international · 2018Article
- Food Safety Analysis of Milk and Beef in Southwestern Uganda.Journal of environmental and public health · 2018Article
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 at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The association between exposure to heavy metals and cancer has been extensively studied, although the mechanisms involved are far from being completely understood. Concerning renal cell carcinoma, several heavy metals have been implicated as risk factors, namely cadmium (Cd) and lead (Pb). Herewith, we investigated the presence and distribution of heavy metals in samples of renal cell carcinoma, as well as adjacent renal tissue (control samples), in patients submitted to radical or partial nephrectomy for renal cell carcinoma. Samples from renal tumour and adjacent renal tissue were processed and observed by Scanning Electron Microscopy coupled with X-Ray Microanalysis (SEM-XRM), in order to detect and quantify heavy metals
Indexed as
Identifiers
What OpenQuestion holds
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.