ArticleEnvironmental science & technology2024
Estimating Lithium Concentrations in Groundwater Used as Drinking Water for the Conterminous United States.
Article in Environmental science & technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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, 26 citations in OpenAlex.
- Manifestations of Lithium Deficiency in the Human Body: What is Known to Date (A Narrative Review).Biological trace element research · 2026Review
- Thermodynamic Stability Boundary of Hygroscopic Salt-Embedded Composite Materials for Atmospheric Water Harvesting.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Lithium exposure in areas of the Western United States: Water and urinary levels in the Strong Heart Family Study.Journal of exposure science & environmental epidemiology · 2026Article
- Lithium Removal From Drinking Water.AWWA water science · 2025Article
- Cancer Risk and Estimated Lithium Exposure in Drinking Groundwater in the US.JAMA network open · 2025Article
- Lithium in Drinking Water and its Potential Impact on Mental Health: A Review.Current medicinal chemistry · 2025Review
- Evaluation of the lithium resource in the Smackover Formation brines of southern Arkansas using machine learning.Science advances · 2024Article
- Estimating Lithium Concentrations in Groundwater Used as Drinking Water for the Conterminous United States.Environmental science & technology · 2024Article
- Evaluation of potential human health risks associated with Li and their relationship with Na, K, Mg, and Ca in Romania's nationwide drinking water.Frontiers in public health · 2024Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lithium (Li) concentrations in drinking-water supplies are not regulated in the United States; however, Li is included in the 2022 U.S. Environmental Protection Agency list of unregulated contaminants for monitoring by public water systems. Li is used pharmaceutically to treat bipolar disorder, and studies have linked its occurrence in drinking water to human-health outcomes. An extreme gradient boosting model was developed to estimate geogenic Li in drinking-water supply wells throughout the conterminous United States. The model was trained using Li measurements from ∼13,500 wells and predictor variables related to its natural occurrence in groundwater. The model predicts the probability of Li in four concentration classifications, ≤4 μg/L, >4 to ≤10 μg/L, >10 to ≤30 μg/L, and >30 μg/L. Model predictions were evaluated using wells held out from model training and with new data and have an accuracy of 47-65%. Important predictor variables include average annual precipitation, well depth, and soil geochemistry. Model predictions were mapped at a spatial resolution of 1 km
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.