SynthesisInternational journal of environmental research and public health2015
Extremely Low Frequency Magnetic Field Exposure and Parkinson's Disease--A Systematic Review and Meta-Analysis of the Data.
Synthesis in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses 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
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 21 citations in OpenAlex.
- Occupational exposure to extremely low-frequency fields and cardiovascular consequences: a systematic review.Public health reviews · 2026Pooled it
- Non-Genetic Risk Factors for Parkinson's Disease: An Overview of 46 Systematic Reviews.Journal of Parkinson's disease · 2021Pooled it
- Biological effects of exposure to static electric fields in humans and vertebrates: a systematic review.Environmental health : a global access science source · 2017Pooled it
- Unveiling the biological effects of radio-frequency and extremely-low frequency electromagnetic fields on the central nervous system performance.BioImpacts : BI · 2024Review
- The role of magnetic fields in neurodegenerative diseases.International journal of biometeorology · 2021Review
- Insights in the biology of extremely low-frequency magnetic fields exposure on human health.Molecular biology reports · 2020Review
- Residential distance from high-voltage overhead power lines and risk of Alzheimer's dementia and Parkinson's disease: a population-based case-control study in a metropolitan area of Northern Italy.International journal of epidemiology · 2019Article
- Effects of Low-Frequency Electromagnetic Field on Oxidative Stress in Selected Structures of the Central Nervous System.Oxidative medicine and cellular longevity · 2018Article
- Occupational exposure to extremely low-frequency magnetic fields and risk for central nervous system disease: an update of a Danish cohort study among utility workers.International archives of occupational and environmental health · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo examine the association between occupational exposure to extremely-low-frequency magnetic fields (ELF-MF) and Parkinson's disease.
methodsWe systematically searched publications reporting risk estimates of Parkinson's disease in workers exposed to ELF-MF. Summary relative risks were obtained with random effects meta-analysis.
resultsWe included 11 studies. To assign exposure, four studies evaluated occupational records, four used census, interview or questionnaire information and three used death certificates. Risk of Parkinson's disease was not elevated in workers exposed to ELF-MF with a summary relative risk of 1.05, 95% CI 0.98-1.13.
conclusionsOverall, there was no evidence that the exposure to ELF-MF increases the risk of Parkinson's disease.
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.