Literature DB >> 18977808

Periconceptional maternal vitamin supplementation and childhood leukaemia: an uncertainty analysis.

A M Jurek1, G Maldonado, L G Spector, J A Ross.   

Abstract

BACKGROUND: Recent studies in childhood cancer suggest that maternal vitamin supplementation may reduce the risk of leukaemia, neuroblastoma and certain types of childhood brain tumours. For example, a previous study found a significantly reduced risk of acute lymphoblastic leukaemia (ALL) but not acute myeloid leukaemia (AML) in children with Down syndrome whose mothers reported any vitamin supplement use prior to knowledge of pregnancy (ALL OR adjusted for confounders 0.51, 95% confidence limits (CL): 0.30, 0.89; AML OR adjusted for confounders 0.92, 95% CL 0.48, 1.76). Recall of exposures, including maternal vitamin supplement use, however, may be difficult and subject to error. Epidemiologists are encouraged to quantitatively adjust for systematic error in study results, but often do not.
METHODS: The impact that misclassification of maternal vitamin supplement use may have had on the observed ORs in this study was quantified. Uncertainty analysis was used to calculate ORs adjusted for inaccurate reporting of vitamin supplement use under assumed probability distributions for exposure misclassification parameters.
RESULTS: Given our assumptions, adjustment for exposure misclassification yielded ORs that were predominantly more protective for ALL than the crude OR.
CONCLUSIONS: Uncertainty analysis can give important insights into the magnitude and direction of error in study results due to exposure misclassification.

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Year:  2008        PMID: 18977808     DOI: 10.1136/jech.2008.080226

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  7 in total

1.  Maternal periconceptional folic acid intake and risk of autism spectrum disorders and developmental delay in the CHARGE (CHildhood Autism Risks from Genetics and Environment) case-control study.

Authors:  Rebecca J Schmidt; Daniel J Tancredi; Sally Ozonoff; Robin L Hansen; Jaana Hartiala; Hooman Allayee; Linda C Schmidt; Flora Tassone; Irva Hertz-Picciotto
Journal:  Am J Clin Nutr       Date:  2012-05-30       Impact factor: 7.045

2.  Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassification.

Authors:  Candice Y Johnson; W Dana Flanders; Matthew J Strickland; Margaret A Honein; Penelope P Howards
Journal:  Epidemiology       Date:  2014-11       Impact factor: 4.822

3.  STRATOS guidance document on measurement error and misclassification of variables in observational epidemiology: Part 2-More complex methods of adjustment and advanced topics.

Authors:  Pamela A Shaw; Paul Gustafson; Raymond J Carroll; Veronika Deffner; Kevin W Dodd; Ruth H Keogh; Victor Kipnis; Janet A Tooze; Michael P Wallace; Helmut Küchenhoff; Laurence S Freedman
Journal:  Stat Med       Date:  2020-04-03       Impact factor: 2.373

4.  Correcting for exposure misclassification using survival analysis with a time-varying exposure.

Authors:  Katherine Ahrens; Timothy L Lash; Carol Louik; Allen A Mitchell; Martha M Werler
Journal:  Ann Epidemiol       Date:  2012-10-05       Impact factor: 3.797

5.  Specifying exposure classification parameters for sensitivity analysis: family breast cancer history.

Authors:  Anne M Jurek; Timothy L Lash; George Maldonado
Journal:  Clin Epidemiol       Date:  2009-08-09       Impact factor: 4.790

6.  Pilot test and validation of the peak day method of prospective determination of ovulation against a handheld urine hormone monitor.

Authors:  Christina A Porucznik; Kyley J Cox; Karen C Schliep; Joseph B Stanford
Journal:  BMC Womens Health       Date:  2014-01-08       Impact factor: 2.809

7.  Quantifying and Adjusting for Disease Misclassification Due to Loss to Follow-Up in Historical Cohort Mortality Studies.

Authors:  Laura L F Scott; George Maldonado
Journal:  Int J Environ Res Public Health       Date:  2015-10-15       Impact factor: 3.390

  7 in total

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