Evidence map›Paper›PMID 30524782›Full record

ArticleJournal of health & pollution2016

Urinary Metal Levels in a Chilean Community 31 Years After the Dumping of Mine Tailings.

Sandra Cortés, Lucía Del Carmen Molina Lagos, Soledad Burgos, Héctor Adaros, Catterina Ferreccio

Abstract read
In one paragraph

Article in Journal of health & pollution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Environmental Health Risk Perception: Adaptation of a Population-Based Questionnaire from Latin America.International journal of environmental research and public health · 2021
    Article
  6. Article
  7. 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

5 authors.

Sandra CortésDepartamento de Salud Pública, Pontificia Universidad Católica de Chile, Santiago, Chile.
Lucía Del Carmen Molina LagosDepartamento de Salud Pública, Pontificia Universidad Católica de Chile, Santiago, Chile.
Soledad BurgosSchool of Public Health, University of Chile, Santiago, Chile.
Héctor AdarosChañaral's Hospital, Atacama Region, Chile.
Catterina FerreccioDepartamento de Salud Pública, Pontificia Universidad Católica de Chile, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBetween 1938 and 1975, the city of Chañaral, located in the north of Chile, received 200 megatons of unregulated mining waste, which created an artificial beach 10 kilometers long and covering an area larger than 4 km

objectiveTo determine the prevalence of exposure to metals by dust from mine tailings in Chañaral, a city located in the northern mining area of Chile.

methodsThe level of urinary metals in a representative sample of adults from Chanaral was determined.

resultsUrinary levels of total arsenic (44.6 μg/L), inorganic arsenic (17.0 μg/L) and nickel (2.8 μg/L) were higher than in other areas of Chile. Levels of copper (17.9 μg/L), mercury (1.6 μg/L) and lead (0.9 μg/L) exceeded international values. Of the total subjects, 67.5%, 30.4%, 29.4%, 16.9%, 13.2 and 9.3% presented with high levels of copper, nickel, total arsenic, inorganic arsenic, mercury and lead, respectively.

conclusionThirty-one years after suspension of the discharge of mining waste, the local population in this area remains exposed to metals from the mine tailings. Surveillance and remedial actions addressing the Chañaral mine tailings are needed.

Indexed as

arsenicChilecopperheavy metalsleadmercurymine tailingsmining wastenickelurinary metals

Identifiers

PMID30524782
PMCPMC6236548

What OpenQuestion holds

Textmetadata
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.