CoChat
Sign Up
Cited by 28

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Lung cancer risk at low cumulative asbestos exposure: meta-regression of the exposure–response relationship

van der Bij, Sjoukje, Koffijberg, Hendrik, Lenters, Virissa, Portengen, Lützen, Moons, Karel G. M., Heederik, Dick, Vermeulen, Roel C. H.·2013·Cancer Causes & Control
DOI 10.1007/s10552-012-0107-7
Open this paper in CoChat — free account

Abstract

Purpose Existing estimated lung cancer risks per unit of asbestos exposure are mainly based on, and applicable to, high exposure levels. To assess the risk at low cumulative asbestos exposure, we provide new evidence by fitting flexible meta-regression models, a notably new and more robust method. Methods Studies were selected if lung cancer risk per cumulative asbestos exposure in at least two exposure categories was reported. From these studies (n = 19), we extracted 104 risk estimates over a cumulative exposure range of 0.11-4,710 f-y/ml. We fitted linear and natural spline meta-regression models to these risk estimates. A natural spline allows risks to vary nonlinearly with exposure, such that estimates at low exposure are less affected by estimates in the upper exposure categories. Associated relative risks (RRs) were calculated for several low cumulative asbestos exposures. Results A natural spline model fitted our data best. With this model, the relative lung cancer risk for cumulative exposure levels of 4 and 40 f-y/ml was estimated between 1.013 and 1.027, and 1.13 and 1.30, respectively. After stratification by fiber type, a non-significant three- to fourfold difference in RRs between chrysotile and amphibole fibers was found for exposures below 40 f-y/ml. Fiber-type-specific risk estimates were strongly influenced by a few studies. Conclusions The natural spline regression model indicates that at lower asbestos exposure levels, the increase in RR of lung cancer due…

Overview

Integrity signals

Registry

Crossref · 10.1007/s10552-012-0107-7

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 1 references

Research works printed but not linked: 42

  1. Berman DW, Crump KS (2008) A meta-analysis of asbestos-related cancer risk that addresses fiber size and mineral type. Crit Rev Toxicol 38(Suppl 1):49–73 · DOI · Paper page
  2. Hodgson JT, Darnton A (2000) The quantitative risks of mesothelioma and lung cancer in relation to asbestos exposure. Ann Occup Hyg 44:565–601 · DOI · Paper page
  3. Lenters V, Vermeulen R, Dogger S, Stayner L, Portengen L, Burdorf A, Heederik D (2011) A meta-analysis of asbestos and lung cancer: Is better quality exposure assessment associated with steeper slopes of the exposure-response relationships? Environ Health Perspect 119:1547–1555 · DOI · Paper page
  4. Lash TL, Crouch EA, Green LC (1997) A meta-analysis of the relation between cumulative exposure to asbestos and relative risk of lung cancer. Occup Environ Med 54:254–263 · DOI · Paper page
  5. Virta RL (2005) Mineral commodity profiles-asbestos: U.S. Geological Survey Circular 1255-KK. p 56 · DOI
  6. Gustavsson P, Nyberg F, Pershagen G, Scheele P, Jakobsson R, Plato N (2002) Low-dose exposure to asbestos and lung cancer: dose-response relations and interaction with smoking in a population-based case-referent study in Stockholm, Sweden. Am J Epidemiol 155:1016–1022 · DOI
  7. Vlaanderen J, Portengen L, Rothman N, Lan Q, Kromhout H, Vermeulen R (2010) Flexible meta-regression to assess the shape of the benzene-leukemia exposure-response curve. Environ Health Perspect 118:526–532 · DOI
  8. DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188 · DOI · Paper page
  9. Greenland S, Longnecker MP (1992) Methods for trend estimation from summarized dose-response data, with applications to meta-analysis. Am J Epidemiol 135:1301–1309 · DOI · Paper page
  10. Harrel FE (2001) Regression modeling strategies: with applications to linear models, logistic regression, and survival analysis. Springer, New York · DOI
  11. Berman DW, Crump KS (2008) Update of potency factors for asbestos-related lung cancer and mesothelioma. Crit Rev Toxicol 38(Suppl 1):1–47 · DOI · Paper page
  12. Armstrong BG (1998) Effect of measurement error on epidemiological studies of environmental and occupational exposures. Occup Environ Med 55:651–656 · DOI · Paper page
  13. Shi JQ, Copas JB (2004) Meta-analysis for trend estimation. Stat Med 23:3–19 · DOI
  14. National Institute for Occupational Safety and Health (1976) Revised Recommended Asbestos Standard. National Institute for Occupational Safety and Health, Washington, DC (DHHS (NIOSH) Publication No. 77–169)
  15. Occupational Safety and Health Administration Health (1995) Asbestos standard for general industry. Occupational Safety and Health Administration, Washington, DC (OSHA publication 3095 1995 (revised))
  16. Rothpearl A (1989) The jackknife technique in statistical analysis. Chest 95:940 · DOI
  17. Stayner L, Steenland K, Dosemeci M, Hertz-Picciotto I (2003) Attenuation of exposure-response curves in occupational cohort studies at high exposure levels. Scand J Work Environ Health 29:317–324 · DOI
  18. van Loon AJ, Kant IJ, Swaen GM, Goldbohm RA, Kremer AM, van den Brandt PA (1997) Occupational exposure to carcinogens and risk of lung cancer: results from The Netherlands cohort study. Occup Environ Med 54:817–824 · DOI
  19. De Matteis S, Consonni D, Lubin JH, Tucker M, Peters S, Vermeulen RC, Kromhout H, Bertazzi PA et al (2012) Impact of occupational carcinogens on lung cancer risk in a general population. Int J Epidemiol 41:711–721 · DOI
  20. Frost G, Harding AH, Darnton A, McElvenny D, Morgan D (2008) Occupational exposure to asbestos and mortality among asbestos removal workers: a Poisson regression analysis. Br J Cancer 99:822–829 · DOI
  21. Stayner LT, Dankovic DA, Lemen RA (1996) Occupational exposure to chrysotile asbestos and cancer risk: a review of the amphibole hypothesis. Am J Public Health 86:179–186 · DOI
  22. Loomis D, Dement J, Richardson D, Wolf S (2010) Asbestos fibre dimensions and lung cancer mortality among workers exposed to chrysotile. Occup Environ Med 67:580–584 · DOI · Paper page
  23. Stayner L, Kuempel E, Gilbert S, Hein M, Dement J (2008) An epidemiological study of the role of chrysotile asbestos fibre dimensions in determining respiratory disease risk in exposed workers. Occup Environ Med 65:613–619 · DOI · Paper page
  24. Berman DW (2010) Comparing milled fiber, Quebec ore, and textile factory dust: has another piece of the asbestos puzzle fallen into place? Crit Rev Toxicol 40:151–188 · DOI
  25. Dement JM, Kuempel ED, Zumwalde RD, Smith RJ, Stayner LT, Loomis D (2008) Development of a fibre size-specific job-exposure matrix for airborne asbestos fibres. Occup Environ Med 65:605–612 · DOI
  26. Liddell FD, McDonald AD, McDonald JC (1997) The 1891–1920 birth cohort of Quebec chrysotile miners and millers: development from 1904 and mortality to 1992. Ann Occup Hyg 41:13–36 · DOI
  27. Pira E, Pelucchi C, Piolatto PG, Negri E, Bilei T, La VC (2009) Mortality from cancer and other causes in the Balangero cohort of chrysotile asbestos miners. Occup Environ Med 66:805–809 · DOI
  28. McDonald AD, Fry JS, Woolley AJ, McDonald JC (1984) Dust exposure and mortality in an American chrysotile asbestos friction products plant. Br J Ind Med 41:151–157
  29. Hein MJ, Stayner LT, Lehman E, Dement JM (2007) Follow-up study of chrysotile textile workers: cohort mortality and exposure-response. Occup Environ Med 64:616–625 · DOI
  30. Loomis D, Dement JM, Wolf SH, Richardson DB (2009) Lung cancer mortality and fibre exposures among North Carolina asbestos textile workers. Occup Environ Med 66:535–542 · DOI · Paper page
  31. Berry G, de Klerk NH, Reid A, Ambrosini GL, Fritschi L, Olsen NJ, Merler E, Musk AW (2004) Malignant pleural and peritoneal mesotheliomas in former miners and millers of crocidolite at Wittenoom. Western Australia. Occup Environ Med 61:e14 · DOI
  32. Seidman H, Selikoff IJ, Gelb SK (1986) Mortality experience of amosite asbestos factory workers: dose-response relationships 5 to 40 years after onset of short-term work exposure. Am J Ind Med 10:479–514 · DOI
  33. Levin JL, McLarty JW, Hurst GA, Smith AN, Frank AL (1998) Tyler asbestos workers: mortality experience in a cohort exposed to amosite. Occup Environ Med 55:155–160 · DOI
  34. Sullivan PA (2007) Vermiculite, respiratory disease, and asbestos exposure in Libby, Montana: update of a cohort mortality study. Environ Health Perspect 115:579–585 · DOI
  35. Berry G, Newhouse ML (1983) Mortality of workers manufacturing friction materials using asbestos. Br J Ind Med 40:1–7
  36. Finkelstein MM (1984) Mortality among employees of an Ontario asbestos-cement factory. Am Rev Respir Dis 129:754–761 · DOI
  37. Hughes JM, Weill H, Hammad YY (1987) Mortality of workers employed in two asbestos cement manufacturing plants. Br J Ind Med 44:161–174
  38. Albin M, Jakobsson K, Attewell R, Johansson L, Welinder H (1990) Mortality and cancer morbidity in cohorts of asbestos cement workers and referents. Br J Ind Med 47:602–610
  39. Enterline PE, Hartley J, Henderson V (1987) Asbestos and cancer: a cohort followed up to death. Br J Ind Med 44:396–401
  40. Selikoff IJ, Seidman H (1991) Asbestos-associated deaths among insulation workers in the United States and Canada, 1967–1987. Ann N Y Acad Sci 643:1–14 · DOI
  41. McDonald AD, Fry JS, Woolley AJ, McDonald JC (1983) Dust exposure and mortality in an American factory using chrysotile, amosite, and crocidolite in mainly textile manufacture. Br J Ind Med 40:368–374
  42. Peto J, Doll R, Hermon C, Binns W, Clayton R, Goffe T (1985) Relationship of mortality to measures of environmental asbestos pollution in an asbestos textile factory. Ann Occup Hyg 29:305–355 · DOI

Cited by

Sorted by citations

See all 28

Metadata

Authors
van der Bij, S., Koffijberg, H., Lenters, V., Portengen, L., Moons, K. G. M., Heederik, D., & Vermeulen, R. C. H.
Venue
Cancer Causes & Control
Publisher
Springer Science and Business Media LLC
Published
2012-11-28
Volume
24
Issue
1
Pages
1-12
ISSN
  • 0957-5243
  • 1573-7225
DOI
10.1007/s10552-012-0107-7
Cited by
28
References
1
Language
en
Licence
www.springer.com/tdm (tdm)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Lung cancer risk at low cumulative asbestos exposure: meta-regression of the exposure–response relationship. https://app.cochat.ai/papers/10.1007/s10552-012-0107-7
The paper
van der Bij, S., Koffijberg, H., Lenters, V., Portengen, L., Moons, K. G. M., Heederik, D., & Vermeulen, R. C. H. (2013). Lung cancer risk at low cumulative asbestos exposure: meta-regression of the exposure–response relationship. Cancer Causes & Control. https://doi.org/10.1007/s10552-012-0107-7