Identifying patients with undetected colorectal cancer: an independent validation of QCancer (Colorectal)

[1]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[2]  W. Hamilton.  Computer assisted diagnosis of ovarian cancer in primary care , 2012, BMJ : British Medical Journal.

[3]  J. Hippisley-Cox,et al.  Identifying patients with suspected colorectal cancer in primary care: derivation and validation of an algorithm. , 2012, The British journal of general practice : the journal of the Royal College of General Practitioners.

[4]  et al.,et al.  Framework for the impact analysis and implementation of Clinical Prediction Rules (CPRs) , 2011, BMC Medical Informatics Decis. Mak..

[5]  Les Irwig,et al.  Most bowel cancer symptoms do not indicate colorectal cancer and polyps: a systematic review , 2011, BMC gastroenterology.

[6]  Richard D Neal,et al.  The diagnostic value of symptoms for colorectal cancer in primary care: a systematic review. , 2011, The British journal of general practice : the journal of the Royal College of General Practitioners.

[7]  T. Peters,et al.  The diagnostic performance of scoring systems to identify symptomatic colorectal cancer compared to current referral guidance , 2011, Gut.

[8]  J. Hippisley-Cox,et al.  Identifying patients with suspected lung cancer in primary care: derivation and validation of an algorithm. , 2011, The British journal of general practice : the journal of the Royal College of General Practitioners.

[9]  C. Mathers,et al.  Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008 , 2010, International journal of cancer.

[10]  A. Jemal,et al.  Global Patterns of Cancer Incidence and Mortality Rates and Trends , 2010, Cancer Epidemiology, Biomarkers & Prevention.

[11]  G. Falk,et al.  Diagnostic accuracy systematic review of rectal bleeding in combination with other symptoms, signs and tests in relation to colorectal cancer , 2009, British Journal of Cancer.

[12]  W. Hamilton,et al.  The CAPER studies: five case-control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients , 2009, British Journal of Cancer.

[13]  B Rachet,et al.  What if cancer survival in Britain were the same as in Europe: how many deaths are avoidable? , 2009, British Journal of Cancer.

[14]  M. Richards,et al.  The National Awareness and Early Diagnosis Initiative in England: assembling the evidence , 2009, British Journal of Cancer.

[15]  P. Royston,et al.  Prognosis and prognostic research: application and impact of prognostic models in clinical practice , 2009, BMJ : British Medical Journal.

[16]  W. Hamilton.  Five misconceptions in cancer diagnosis. , 2009, The British journal of general practice : the journal of the Royal College of General Practitioners.

[17]  T. Peters,et al.  The risk of colorectal cancer with symptoms at different ages and between the sexes: a case-control study , 2009, BMC medicine.

[18]  N. Khan,et al.  Implementation of a diagnostic tool for symptomatic colorectal cancer in primary care: a feasibility study , 2009, Primary Health Care Research & Development.

[19]  P. Moayyedi,et al.  Diagnostic utility of alarm features for colorectal cancer: systematic review and meta-analysis , 2008, Gut.

[20]  T. Peters,et al.  The importance of anaemia in diagnosing colorectal cancer: a case–control study using electronic primary care records , 2008, British Journal of Cancer.

[21]  Franco Berrino,et al.  Survival for eight major cancers and all cancers combined for European adults diagnosed in 1995-99: results of the EUROCARE-4 study. , 2007, The Lancet. Oncology.

[22]  M. Gulliford,et al.  Alarm symptoms in early diagnosis of cancer in primary care: cohort study using General Practice Research Database , 2007, BMJ : British Medical Journal.

[23]  E. Elkin,et al.  Decision Curve Analysis: A Novel Method for Evaluating Prediction Models , 2006, Medical decision making : an international journal of the Society for Medical Decision Making.

[24]  Theo Stijnen,et al.  Using the outcome for imputation of missing predictor values was preferred. , 2006, Journal of clinical epidemiology.

[25]  Patrick Royston,et al.  Explained Variation for Survival Models , 2006 .

[26]  T. Peters,et al.  Clinical features of colorectal cancer before diagnosis: a population-based case–control study , 2005, British Journal of Cancer.

[27]  A. Dhar,et al.  National Institute for Health and Clinical Excellence , 2005 .

[28]  D G Altman,et al.  Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines , 2004, British Journal of Cancer.

[29]  Patrick Royston,et al.  A new measure of prognostic separation in survival data , 2004, Statistics in medicine.

[30]  Douglas G Altman,et al.  Developing a prognostic model in the presence of missing data: an ovarian cancer case study. , 2003, Journal of clinical epidemiology.

[31]  G W Sun,et al.  Inappropriate use of bivariable analysis to screen risk factors for use in multivariable analysis. , 1996, Journal of clinical epidemiology.