Evidence map›Paper›PMID 20596721›Full record

ArticleInternational archives of occupational and environmental health2011

Biological monitoring for occupational acrylamide exposure from acrylamide production workers.

Yu-Fang Huang, Kuen-Yuh Wu, Saou-Hsing Liou, Shi-Nian Uang, Chu-Chih Chen, Wei-Chung Shih, Shih-Chuan Lee, Chih-Chun Jean Huang, Mei-Lien Chen

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Article in International archives of occupational and environmental health, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 citing papers in PubMed.

  1. Article
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  5. Article
  6. Article
  7. Urinary biomarkers of smokers' exposure to tobacco smoke constituents in tobacco products assessment: a fit for purpose approach.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2013
    Article
  8. Article
4 · The record

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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

9 authors.

Yu-Fang HuangInstitute of Environmental and Occupational Health Sciences, National Yang Ming University, No. 155, Sec.2, Li-Nong St., Beitou, Taipei, Taiwan.
Kuen-Yuh Wu
Saou-Hsing Liou
Shi-Nian Uang
Chu-Chih Chen
Wei-Chung Shih
Shih-Chuan Lee
Chih-Chun Jean Huang
Mei-Lien Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe conducted a repeated-measurement study to (1) investigate the correlation between occupational exposure to airborne acrylamide (AA) and the time-dependent behavior of urinary AAMA, GAMA2, and GAMA3 and (2) calculate the estimated biological exposure index at the permissible exposure limit (PEL) level of 30 μg/m(3).

methodsForty-four workers were recruited--8 were AA-exposed and 36 were controls. Pre- and post-shift urine samples were collected from the exposed group in parallel with personal sampling for 8 consecutive days and only 1 day for the control group and analyzed using liquid chromatography-electrospray ionization/tandem mass spectrometry (LC-ESI-MS/MS).

resultsPost-shift urinary AAMA level was significantly associated with personal AA exposure (p < 0.001), indicating that urinary AAMA was a better AA exposure biomarker. The estimated urinary excretion of AAMA was 3.0 mg/g creatinine for nonsmoking workers exposed to the PEL of 30 μg/m(3). The median GAMA (the sum of GAMA2 and GAMA3)/AAMA ratio for exposed workers was 0.03 (range, 0.005-0.14), relatively lower than that of the nonoccupational group.

conclusionsAlthough sample size in this study was small, the repeated-measurement data provide useful reference for future studies related to biological monitoring of occupational exposure to AA.

Indexed as

AcrylamideAcrylamidesAdultAir Pollutants, OccupationalEnvironmental MonitoringFemaleHalf-LifeHumansInhalation ExposureMaleMaximum Allowable ConcentrationMiddle AgedOccupational ExposureSkin AbsorptionSpectrometry, Mass, Electrospray IonizationTaiwanAcrylamideAcrylamidesAir Pollutants, Occupational

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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.