Literature DB >> 3312276

Incubation periods of cancer: old and new.

H K Armenian1.   

Abstract

Following a review of the early efforts in occupational studies and animal experiments that were useful to elucidate concepts of latency and incubation periods in cancer, the paper presents the problem of definitions. In addition to semantic issues, conceptual models have influenced the development of appropriate empirical research in this field. The problems of measurement facing studies of incubation periods include; the assessment of time and nature of exposure, the definition of disease onset and the variation of sources of data used in the estimation of these periods. The different approaches that have been used to measure the incubation periods of cancer include; the direct approach, a study of changes of relative risks with time, calculation of time sequence between an outbreak of disease and the introduction of a suspected exposure, population based incidence studies, analysis of anecdotal information and studies of case clusters using different methods of establishing case linkages. There are well defined practical applications for the study of incubation periods of cancer. These are primarily in the area of etiological investigation, or may have practical relevance in community and patient management in past and future risk assessment. In its final part the paper raises issues that are researcheable in this subject. Does the incubation period of a cancer vary with the different etiologies in a multifactorial model? What is the effect of the dose of carcinogen on the length of the incubation period? Does the incubation period vary with age?

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Year:  1987        PMID: 3312276     DOI: 10.1016/s0021-9681(87)80004-8

Source DB:  PubMed          Journal:  J Chronic Dis        ISSN: 0021-9681


  8 in total

1.  Lagging exposure information in cumulative exposure-response analyses.

Authors:  David B Richardson; Stephen R Cole; Haitao Chu; Bryan Langholz
Journal:  Am J Epidemiol       Date:  2011-11-01       Impact factor: 4.897

2.  Latency models for analyses of protracted exposures.

Authors:  David B Richardson
Journal:  Epidemiology       Date:  2009-05       Impact factor: 4.822

3.  Can Avoiding Light at Night Reduce the Risk of Breast Cancer?

Authors:  Atalya Keshet-Sitton; Keren Or-Chen; Sara Yitzhak; Ilana Tzabary; Abraham Haim
Journal:  Integr Cancer Ther       Date:  2015-12-01       Impact factor: 3.279

4.  The time of the insult/triggering event in Legg-Calvé-Perthes' disease determined by incubation period modeling and the age distribution of children with Perthes'.

Authors:  Randall T Loder; Richard H Browne; Andrew Millis; Wook-Cheol Kim; Hitesh Shah; Aidan P Cosgrove; Ola Wiig
Journal:  Iowa Orthop J       Date:  2012

5.  The age of necrotizing enterocolitis onset: an application of Sartwell's incubation period model.

Authors:  R González-Rivera; R C Culverhouse; A Hamvas; P I Tarr; B B Warner
Journal:  J Perinatol       Date:  2011-01-27       Impact factor: 2.521

6.  Illuminating a Risk for Breast Cancer: A Preliminary Ecological Study on the Association Between Streetlight and Breast Cancer.

Authors:  Atalya Keshet-Sitton; Keren Or-Chen; Eran Huber; Abraham Haim
Journal:  Integr Cancer Ther       Date:  2016-11-29       Impact factor: 3.279

7.  The Risk of Colorectal Cancer After Cholecystectomy or Appendectomy: A Population-based Cohort Study in Korea.

Authors:  Joonki Lee; Sunho Choe; Ji Won Park; Seung-Yong Jeong; Aesun Shin
Journal:  J Prev Med Public Health       Date:  2018-10-29

8.  Secular trend analysis of lung cancer incidence in Sihui city, China between 1987 and 2011.

Authors:  Jin-Lin Du; Xiao Lin; Li-Fang Zhang; Yan-Hua Li; Shang-Hang Xie; Meng-Jie Yang; Jie Guo; Er-Hong Lin; Qing Liu; Ming-Huang Hong; Qi-Hong Huang; Zheng-Er Liao; Su-Mei Cao
Journal:  Chin J Cancer       Date:  2015-07-31
  8 in total

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