Literature DB >> 16372387

A hierarchical non-homogenous Poisson model for meta-analysis of adenoma counts.

Carolyn M Rutter1, Onchee Yu, Diana L Miglioretti.   

Abstract

We use a hierarchical model for a meta-analysis that combines information from autopsy studies of adenoma prevalence and counts. The studies we included reported findings using a variety of adenoma prevalence groupings and age categories. We use a non-homogeneous Poisson model for multinomial bin probabilities. The Poisson model allows risk to depend on age and sex, and incorporates extra-Poisson variability. We evaluate model fit using the posterior predicted distribution of adenoma prevalence reported by the studies included in our analyses and validate our model using adenoma prevalence reported by more recent colonoscopy studies. For 1990, the estimated adenoma prevalence among Americans at age 60 is 40.3 per cent for men compared to 29.2 per cent for women.

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Year:  2007        PMID: 16372387      PMCID: PMC4189839          DOI: 10.1002/sim.2460

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  38 in total

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Authors:  Perry J Pickhardt; J Richard Choi; Inku Hwang; James A Butler; Michael L Puckett; Hans A Hildebrandt; Roy K Wong; Pamela A Nugent; Pauline A Mysliwiec; William R Schindler
Journal:  N Engl J Med       Date:  2003-12-01       Impact factor: 91.245

2.  Adenomatous polyps of large intestine in autopsy and surgical material.

Authors:  E Sato
Journal:  Gan       Date:  1974-08

3.  Polyps of the colon and rectum in Cali, Colombia.

Authors:  P Correa; E Duque; C Cuello; W Haenszel
Journal:  Int J Cancer       Date:  1972-01-15       Impact factor: 7.396

4.  Polyps and diverticula of the large intestine: a necropsy survey in Hong Kong.

Authors:  P E Coode; K W Chan; Y T Chan
Journal:  Gut       Date:  1985-10       Impact factor: 23.059

5.  Polyps in a low-risk colonic cancer population in Colombia, South America.

Authors:  C Restrepo; P Correa; E Duque; C Cuello
Journal:  Dis Colon Rectum       Date:  1981 Jan-Feb       Impact factor: 4.585

6.  Cancer and "cancer related" colorectal lesions in São Paulo, Brazil.

Authors:  C Marigo; P Correa; W Haenszel
Journal:  Int J Cancer       Date:  1978-12       Impact factor: 7.396

7.  Polyps of the large intestine in Northern Norway.

Authors:  T J Eide; H Stalsberg
Journal:  Cancer       Date:  1978-12       Impact factor: 6.860

8.  Prevalence of polyps in an autopsy series from areas with varying incidence of large-bowel cancer.

Authors:  J C Clark; Y Collan; T J Eide; J Estève; S Ewen; N M Gibbs; O M Jensen; E Koskela; R MacLennan; J G Simpson
Journal:  Int J Cancer       Date:  1985-08-15       Impact factor: 7.396

Review 9.  Cancer statistics, 2004.

Authors:  Ahmedin Jemal; Ram C Tiwari; Taylor Murray; Asma Ghafoor; Alicia Samuels; Elizabeth Ward; Eric J Feuer; Michael J Thun
Journal:  CA Cancer J Clin       Date:  2004 Jan-Feb       Impact factor: 508.702

10.  Adenomas, metaplastic polyps and other lesions of the large bowel: an autopsy survey.

Authors:  Y S Lee
Journal:  Ann Acad Med Singap       Date:  1987-07       Impact factor: 2.473

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  17 in total

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Authors:  Carolyn M Rutter; James E Savarino
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Review 2.  Evaluation of the Effectiveness and Cost-Effectiveness of Personalized Surveillance After Colorectal Adenomatous Polypectomy.

Authors:  Ethna McFerran; James F O'Mahony; Richard Fallis; Duncan McVicar; Ann G Zauber; Frank Kee
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Authors:  Marjolein van Ballegooijen; Carolyn M Rutter; Amy B Knudsen; Ann G Zauber; James E Savarino; Iris Lansdorp-Vogelaar; Rob Boer; Eric J Feuer; J Dik F Habbema; Karen M Kuntz
Journal:  Med Decis Making       Date:  2011-06-14       Impact factor: 2.583

4.  Using the Cancer Risk Management Model to evaluate colorectal cancer screening options for Canada.

Authors:  A J Coldman; N Phillips; J Brisson; W Flanagan; M Wolfson; C Nadeau; N Fitzgerald; A B Miller
Journal:  Curr Oncol       Date:  2015-04       Impact factor: 3.677

5.  A prediction model for colon cancer surveillance data.

Authors:  Norm M Good; Krithika Suresh; Graeme P Young; Trevor J Lockett; Finlay A Macrae; Jeremy M G Taylor
Journal:  Stat Med       Date:  2015-04-06       Impact factor: 2.373

6.  Adverse events after screening and follow-up colonoscopy.

Authors:  Carolyn M Rutter; Eric Johnson; Diana L Miglioretti; Margaret T Mandelson; John Inadomi; Diana S M Buist
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7.  Estimation of Benefits, Burden, and Harms of Colorectal Cancer Screening Strategies: Modeling Study for the US Preventive Services Task Force.

Authors:  Amy B Knudsen; Ann G Zauber; Carolyn M Rutter; Steffie K Naber; V Paul Doria-Rose; Chester Pabiniak; Colden Johanson; Sara E Fischer; Iris Lansdorp-Vogelaar; Karen M Kuntz
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8.  The potential of imaging techniques as a screening tool for colorectal cancer: a cost-effectiveness analysis.

Authors:  Marjolein J E Greuter; Johannes Berkhof; Remond J A Fijneman; Erhan Demirel; Jie-Bin Lew; Gerrit A Meijer; Jaap Stoker; Veerle M H Coupé
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9.  Validation of Models Used to Inform Colorectal Cancer Screening Guidelines: Accuracy and Implications.

Authors:  Carolyn M Rutter; Amy B Knudsen; Tracey L Marsh; V Paul Doria-Rose; Eric Johnson; Chester Pabiniak; Karen M Kuntz; Marjolein van Ballegooijen; Ann G Zauber; Iris Lansdorp-Vogelaar
Journal:  Med Decis Making       Date:  2016-01-08       Impact factor: 2.583

10.  Does folic acid supplementation prevent or promote colorectal cancer? Results from model-based predictions.

Authors:  E Georg Luebeck; Suresh H Moolgavkar; Amy Y Liu; Alanna Boynton; Cornelia M Ulrich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-06-06       Impact factor: 4.254

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