Evidence map›Paper›PMID 19495786›Full record

ArticleInternational archives of occupational and environmental health2010

Biological monitoring of tungsten (and cobalt) in workers of a hard metal alloy industry.

Giuseppe De Palma, Paola Manini, Michela Sarnico, Stefania Molinari, Pietro Apostoli

Abstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

2 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 2 countries.

Giuseppe De PalmaDepartment of Experimental and Applied Medicine, University of Brescia, Italy. depalma@med.unibs.it
Paola Manini
Michela Sarnico
Stefania Molinari
Pietro Apostoli
University of Brescia · ITUniversity of Parma · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate a combined biomonitoring approach based on both cobalt and tungsten determination in workers of the hard metal alloy sector.

methodsWe enrolled 55 workers from a factory producing cutting tools for carpentry. Combined workroom air and biological monitoring of both cobalt and tungsten relied on inductively coupled plasma mass spectrometry determinations. Metals were determined on plasma, blood and urine samples. Urine samples from 34 unexposed subjects were also analyzed.

resultsTungsten was determined in every collected sample. Workers showed significantly higher urinary tungsten levels than controls (pre-shift values of 4.12 vs. 0.06 microg/l on average; P < 0.0005). Both airborne and biological levels of tungsten prevailed among workers involved in wet-grinding activities. The element was excreted at higher urinary levels than cobalt and showed lower circulating (blood, plasma) concentrations. Exposure-dose relationships were apparent for tungsten biomarkers.

conclusionsObtained results may contribute to the development of biomarkers of exposure to tungsten. The association of such biomarkers to traditional determinations of cobalt in blood and/or urine may substantially improve the exposure assessment of workers employed in cemented carbide industries.

Indexed as

Environmental MonitoringAdultAir Pollutants, OccupationalCobaltFeasibility StudiesFemaleHumansMaleMetallurgyMiddle AgedOccupational ExposureTungstenYoung AdultAir Pollutants, OccupationalCobaltTungsten

Identifiers

PMID19495786
OpenAlexW1964210380

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.