Literature DB >> 10231162

A pooled analysis of case-control studies of thyroid cancer. I. Methods.

E Negri1, E Ron, S Franceschi, L Dal Maso, S D Mark, S Preston-Martin, A McTiernan, L Kolonel, R Kleinerman, C Land, F Jin, G Wingren, M R Galanti, A Hallquist, E Glattre, E Lund, F Levi, D Linos, C Braga, C La Vecchia.   

Abstract

OBJECTIVE: Because the etiology of thyroid cancer is not well described, we conducted a pooled analysis of all published case-control studies, as well as two identified unpublished studies. This paper describes the major characteristics of the 14 studies included in the analysis, as well as the statistical methods employed. Four studies were conducted in the United States (1 each in Washington State, California, Connecticut and Hawaii), 8 in Europe (3 in Sweden, 2 in Norway, 1 in Switzerland, 1 in Italy and 1 in Greece), and 2 in Asia (1 in China and 1 in Japan).
METHODS: The original datasets were obtained and restructured in a uniform format. Data on socio-demographic characteristics, anthropometric measures, smoking and alcohol consumption, history of benign thyroid diseases and of other selected medical conditions and treatments, family history of cancer and of benign thyroid conditions, occupation, residence in endemic goitre areas, and dietary habits were analyzed. For women, we also analyzed menstrual and reproductive factors and use of female hormones. Radiotherapy and, in Japan, exposure to the A-bombs were considered as potential confounding factors.
RESULTS: A total of 2,725 cases (2,247 females and 478 males) and 4,776 controls (3,699 females and 1,077 males) were included in this study. Of the cases, 79% were classified as papillary thyroid carcinomas, 14% as follicular, 2% medullary, 1% anaplastic, 1% other histologies, and 3% histological type unknown. Each of the datasets was checked for outliers and consistency. Data were analysed separately by study center, gender, and the two major histologic types (papillary, follicular). Frequency tables and simple statistics were computed for each variable under study. Conditional logistic regression was used to compute odds ratios. For matched studies, the original matching was preserved, whereas, for unmatched ones, five-year age groups were used for matching. Study-specific analyses were computed, and then the data from all the studies were pooled conditioning on study. Heterogeneity between studies, geographic areas and study designs was assessed, and the modifying effect of age was also evaluated.

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Year:  1999        PMID: 10231162     DOI: 10.1023/a:1008851613024

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  9 in total

Review 1.  The Breast-Thyroid Cancer Link: A Systematic Review and Meta-analysis.

Authors:  Sarah M Nielsen; Michael G White; Susan Hong; Briseis Aschebrook-Kilfoy; Edwin L Kaplan; Peter Angelos; Swati A Kulkarni; Olufunmilayo I Olopade; Raymon H Grogan
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-02       Impact factor: 4.254

2.  Role of goiter and of menstrual and reproductive factors in thyroid cancer: a population-based case-control study in New Caledonia (South Pacific), a very high incidence area.

Authors:  Thérèse Truong; Laurent Orsi; Dominique Dubourdieu; Yannick Rougier; Denis Hémon; Pascal Guénel
Journal:  Am J Epidemiol       Date:  2005-06-01       Impact factor: 4.897

3.  Hormonal and reproductive factors and risk of postmenopausal thyroid cancer in the NIH-AARP Diet and Health Study.

Authors:  S J Schonfeld; E Ron; C M Kitahara; A Brenner; Y Park; A J Sigurdson; A Schatzkin; A Berrington de González
Journal:  Cancer Epidemiol       Date:  2011-08-17       Impact factor: 2.984

4.  Hormonal factors and the risk of papillary thyroid cancer in the California Teachers Study cohort.

Authors:  Pamela L Horn-Ross; Alison J Canchola; Huiyan Ma; Peggy Reynolds; Leslie Bernstein
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-07-26       Impact factor: 4.254

5.  Population-based study of familial medullary thyroid cancer.

Authors:  K Hemminki; C Dong
Journal:  Fam Cancer       Date:  2001       Impact factor: 2.375

6.  Relationship of anthropometric measurements to thyroid nodules in a Chinese population.

Authors:  Weimin Xu; Zexin Chen; Na Li; Hui Liu; Liangliang Huo; Yangmei Huang; Xingyi Jin; Jin Deng; Sujuan Zhu; Shanchun Zhang; Yunxian Yu
Journal:  BMJ Open       Date:  2015-12-21       Impact factor: 2.692

Review 7.  Sex Bias in Differentiated Thyroid Cancer.

Authors:  Valentine Suteau; Mathilde Munier; Claire Briet; Patrice Rodien
Journal:  Int J Mol Sci       Date:  2021-11-30       Impact factor: 5.923

8.  Benign thyroid disease and dietary factors in thyroid cancer: a case-control study in Kuwait.

Authors:  A Memon; A Varghese; A Suresh
Journal:  Br J Cancer       Date:  2002-06-05       Impact factor: 7.640

9.  A case-control study in Hiroshima and Nagasaki examining non-radiation risk factors for thyroid cancer.

Authors:  Jun Nagano; Kiyohiko Mabuchi; Yasuhiko Yoshimoto; Yuzo Hayashi; Nobuo Tsuda; Charles Land; Kazunori Kodama
Journal:  J Epidemiol       Date:  2007-05       Impact factor: 3.211

  9 in total

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