Literature DB >> 19479713

Cancer incidence in The Health Improvement Network.

Kevin Haynes1, Kimberly A Forde, Rita Schinnar, Patricia Wong, Brian L Strom, James D Lewis.   

Abstract

BACKGROUND: The utility of electronic medical record databases for clinical research relies on the validity and completeness of the recorded medical diagnoses. This study assessed whether the recorded incidence of cancer among patients in The Health Improvement Network (THIN) database is comparable to that expected in the UK based on national cancer registry data.
METHODS: We examined incidence rates of any cancer other than non-melanoma skin cancer and the specific cancers colorectal, lung, pancreas, and lymphoma from 1992 to 2007. Indirect standardization was used to calculate standardized incidence ratios (SIR) using age- and sex-specific rates from the UK cancer registry for England and Wales for the corresponding years.
RESULTS: Recording of the incidence of all cancers combined in THIN was very close to the expected rates from 2001 to 2007, that is, SIR within 10% of unity. Recording of the solid cancers was less than the expected based on cancer registry data, but with SIRs > 0.80 in 2007 for each cancer. Recording of lymphoma was close to the expected rate for the entire follow-up period. Time and experience with Vision software emerged as important factors in reported incidence rates for all cancers.
CONCLUSIONS: For all cancers combined and for lymphoma the observed rates in THIN are very close to those reported in cancer registry data for the years 2001-2007. However, for solid cancers the observed rates in THIN are below those reported in cancer registry data. This may reflect the use of non-specific codes to record solid cancers. Copyright 2009 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2009        PMID: 19479713     DOI: 10.1002/pds.1774

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  39 in total

1.  Temporal and within practice variability in the health improvement network.

Authors:  Kevin Haynes; Warren B Bilker; Tom R Tenhave; Brian L Strom; James D Lewis
Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-07-13       Impact factor: 2.890

2.  Association between longer therapy with thiazolidinediones and risk of bladder cancer: a cohort study.

Authors:  Ronac Mamtani; Kevin Haynes; Warren B Bilker; David J Vaughn; Brian L Strom; Karen Glanz; James D Lewis
Journal:  J Natl Cancer Inst       Date:  2012-08-09       Impact factor: 13.506

3.  Digoxin use and the risk for colorectal cancer.

Authors:  Ben Boursi; Kevin Haynes; Ronac Mamtani; Yu-Xiao Yang
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-09-29       Impact factor: 2.890

4.  Height as an independent anthropomorphic risk factor for colorectal cancer.

Authors:  Ben Boursi; Kevin Haynes; Ronac Mamtani; Yu-Xiao Yang
Journal:  Eur J Gastroenterol Hepatol       Date:  2014-12       Impact factor: 2.566

5.  A Clinical Prediction Model to Assess Risk for Pancreatic Cancer Among Patients With New-Onset Diabetes.

Authors:  Ben Boursi; Brian Finkelman; Bruce J Giantonio; Kevin Haynes; Anil K Rustgi; Andrew D Rhim; Ronac Mamtani; Yu-Xiao Yang
Journal:  Gastroenterology       Date:  2016-12-05       Impact factor: 22.682

6.  Digoxin use is associated with pancreatic cancer risk but does not affect survival.

Authors:  Ben Boursi; Jared S Huber; Kevin Haynes; Ronac Mamtani; Yu-Xiao Yang
Journal:  Cancer Causes Control       Date:  2020-10-16       Impact factor: 2.506

7.  Parkinson's disease and colorectal cancer risk-A nested case control study.

Authors:  Ben Boursi; Ronac Mamtani; Kevin Haynes; Yu-Xiao Yang
Journal:  Cancer Epidemiol       Date:  2016-05-24       Impact factor: 2.984

8.  A Risk Prediction Model for Sporadic CRC Based on Routine Lab Results.

Authors:  Ben Boursi; Ronac Mamtani; Wei-Ting Hwang; Kevin Haynes; Yu-Xiao Yang
Journal:  Dig Dis Sci       Date:  2016-02-19       Impact factor: 3.199

9.  Thyroid dysfunction, thyroid hormone replacement and colorectal cancer risk.

Authors:  Ben Boursi; Kevin Haynes; Ronac Mamtani; Yu-Xiao Yang
Journal:  J Natl Cancer Inst       Date:  2015-04-08       Impact factor: 13.506

10.  Are GPs under-investigating older patients presenting with symptoms of ovarian cancer? Observational study using General Practice Research Database.

Authors:  A R Tate; A Nicholson; J A Cassell
Journal:  Br J Cancer       Date:  2010-03-02       Impact factor: 7.640

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