Literature DB >> 27900614

Trends in published meta-analyses in cancer research, 2008-2013.

Ximena V Qadir1, Mindy Clyne2, Tram Kim Lam1, Muin J Khoury1,3, Sheri D Schully4,5.   

Abstract

In order to capture trends in the contribution of epidemiology to cancer research, we describe an online meta-analysis database resource for cancer clinical and population research and illustrate trends and descriptive detail of cancer meta-analyses from 2008 through 2013. A total of 4,686 cancer meta-analyses met our inclusion criteria. During this 6-year period, a fivefold increase was observed in the yearly number of meta-analyses. Fifty-six percent of meta-analyses concerned observational studies, mostly of cancer risk, more than half of which were genetic studies. The major cancer sites were breast, colorectal, and digestive. This online database for Cancer Genomics and Epidemiology Navigator will be continuously updated to allow investigators to quickly navigate the meta-analyses emerging from cancer epidemiology studies and cancer clinical trials.

Entities:  

Keywords:  Clinical trials; Database; Epidemiology; Meta-analysis

Mesh：

Year:  2016        PMID： 27900614      PMCID： PMC5219854          DOI： 10.1007/s10552-016-0830-6

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


  11 in total

1.  The Cancer Genomics and Epidemiology Navigator: An NCI online tool to enhance cancer epidemiology research.

Authors:  Sheri D Schully; Scott D Rogers; Tram Kim Lam; Christine Q Chang; Mindy Clyne; Jean Cyr; Daniel Watson; Muin J Khoury
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-11       Impact factor: 4.254

Review 2.  Meta-analysis methods for genome-wide association studies and beyond.

Authors:  Evangelos Evangelou; John P A Ioannidis
Journal:  Nat Rev Genet       Date:  2013-05-09       Impact factor: 53.242

3.  How to read a systematic review and meta-analysis and apply the results to patient care: users' guides to the medical literature.

Authors:  Mohammad Hassan Murad; Victor M Montori; John P A Ioannidis; Roman Jaeschke; P J Devereaux; Kameshwar Prasad; Ignacio Neumann; Alonso Carrasco-Labra; Thomas Agoritsas; Rose Hatala; Maureen O Meade; Peter Wyer; Deborah J Cook; Gordon Guyatt
Journal:  JAMA       Date:  2014-07       Impact factor: 56.272

Review 4.  Tracking the epidemiology of human genes in the literature: the HuGE Published Literature database.

Authors:  Bruce K Lin; Melinda Clyne; Matthew Walsh; Onnalee Gomez; Wei Yu; Marta Gwinn; Muin J Khoury
Journal:  Am J Epidemiol       Date:  2006-04-26       Impact factor: 4.897

Review 5.  Potential increased risk of cancer from commonly used medications: an umbrella review of meta-analyses.

Authors:  J P A Ioannidis; Y Zhou; C Q Chang; S D Schully; M J Khoury; A N Freedman
Journal:  Ann Oncol       Date:  2013-12-04       Impact factor: 32.976

Review 6.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

Review 7.  The power of meta-analysis in genome-wide association studies.

Authors:  Orestis A Panagiotou; Cristen J Willer; Joel N Hirschhorn; John P A Ioannidis
Journal:  Annu Rev Genomics Hum Genet       Date:  2013-05-24       Impact factor: 8.929

8.  Transforming epidemiology for 21st century medicine and public health.

Authors:  Muin J Khoury; Tram Kim Lam; John P A Ioannidis; Patricia Hartge; Margaret R Spitz; Julie E Buring; Stephen J Chanock; Robert T Croyle; Katrina A Goddard; Geoffrey S Ginsburg; Zdenko Herceg; Robert A Hiatt; Robert N Hoover; David J Hunter; Barnet S Kramer; Michael S Lauer; Jeffrey A Meyerhardt; Olufunmilayo I Olopade; Julie R Palmer; Thomas A Sellers; Daniela Seminara; David F Ransohoff; Timothy R Rebbeck; Georgia Tourassi; Deborah M Winn; Ann Zauber; Sheri D Schully
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-03-05       Impact factor: 4.254

Review 9.  Systematic reviews: the good, the bad, and the ugly.

Authors:  Yuhong Yuan; Richard H Hunt
Journal:  Am J Gastroenterol       Date:  2009-05       Impact factor: 10.864

10.  The geometric increase in meta-analyses from China in the genomic era.

Authors:  John P A Ioannidis; Christine Q Chang; Tram Kim Lam; Sheri D Schully; Muin J Khoury
Journal:  PLoS One       Date:  2013-06-12       Impact factor: 3.240
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