IDEAS home Printed from https://ideas.repec.org/a/wly/riskan/v8y1988i4p485-497.html
   My bibliography  Save this article

One‐Hit Models of Carcinogenesis: Conservative or Not?

Author

Listed:
  • John C. Bailar
  • Edmund A. C. Crouch
  • Rashid Shaikh
  • Donna Spiegelman

Abstract

One‐hit formulas are widely believed to be “conservative” when used to analyze carcinogenesis bioassays, in the sense that they will rarely underestimate risks of cancer at low exposures. Such formulas are generally applied to the lifetime incidence of cancer at a specific site, with risks estimated from animal data at zero dose (control), and two or more additional doses that are appreciable fractions of a maximum tolerated dose. No empirical study has demonstrated that the one‐hit formula is conservative in the sense described. The Carcinogenesis Bioassay Database System contains data on 1212 separate bioassays of 308 chemical substances tested at exactly three evaluable doses. These provided sufficient data to examine 8432 specific combinations of cancer site with sex, species, and chemical. For each of these we fitted a one‐hit formula to the zero and maximum dose data points, then examined the relation of the fitted curve to the incidence rate observed at the mid‐dose, with and without adjustment for intercurrent mortality.Both underestimates and overestimates of risk at mid‐dose occurred substantially more often than expected by chance. We cannot tell whether such underestimates would occur at lower doses, but offer six biological reasons why underestimates might be expected. In a high percentage of animal bioassays, the one‐hit formula is not conservative when applied in the usual way to animal data. It remains possible that the one‐hit formula may indeed be conservative at sufficiently low doses (below the observational range), but the usual procedure, applied to the usual dose range, can be nonconservative in estimating the slope of the formula at such low doses. Risk assessments for regulation of carcinogens should incorporate some measure of additional uncertainty.

Suggested Citation

  • John C. Bailar & Edmund A. C. Crouch & Rashid Shaikh & Donna Spiegelman, 1988. "One‐Hit Models of Carcinogenesis: Conservative or Not?," Risk Analysis, John Wiley & Sons, vol. 8(4), pages 485-497, December.
  • Handle: RePEc:wly:riskan:v:8:y:1988:i:4:p:485-497
    DOI: 10.1111/j.1539-6924.1988.tb01189.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6924.1988.tb01189.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1539-6924.1988.tb01189.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lester B. Lave, 1981. "Estimating the Risk of Carcinogens," Risk Analysis, John Wiley & Sons, vol. 1(1), pages 59-60, March.
    2. John H. Farmer & Ralph L. Kodell & David W. Gaylor, 1982. "Estimation and Extrapolation of Tumor Probabilities from a Mouse Bioassay with Survival/Sacrifice Components," Risk Analysis, John Wiley & Sons, vol. 2(1), pages 27-34, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. D. Krewski & D .W. Gaylor & A. P. Soms & M. Szyszkowicz, 1993. "An Overview of the Report: Correlation Between Carcinogenic Potency and the Maximum Tolerated Dose: Implications for Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 13(4), pages 383-398, August.
    2. Ralph L. Kodell & James J. Chen, 1994. "Reducing Conservatism in Risk Estimation for Mixtures of Carcinogens," Risk Analysis, John Wiley & Sons, vol. 14(3), pages 327-332, June.
    3. David W. Gaylor & Ralph L. Kodell & James J. Chen & Janet A. Springer & Ronald J. Lorentzen & Robert J. Scheuplein, 1994. "Point Estimates of Cancer Risk at Low Doses," Risk Analysis, John Wiley & Sons, vol. 14(5), pages 843-850, October.
    4. Nathan Mantel, 1982. "Extrapolation of Tumor Probabilities," Risk Analysis, John Wiley & Sons, vol. 2(3), pages 115-116, September.
    5. David W. Gaylor, 1982. "Response to Mantel," Risk Analysis, John Wiley & Sons, vol. 2(3), pages 117-118, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:riskan:v:8:y:1988:i:4:p:485-497. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1539-6924 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.