Discovery publications:
2016  /  2015  /  2014  /  2013  /  2012
Discovery related publications:
2015   /   2014   /   2013

Discovery publications - 2013

Shepherd E, Neal R, Rose P, Walter F, Hamilton WT. Clinical features of kidney cancer in primary care: a case-control study using primary care records. Br J Gen Pract. 2013 Apr;63(609):250-5. doi: 10.3399/bjgp13X665215.


BACKGROUND: Kidney cancer accounts for over 4000 UK deaths annually, and is one of the cancer sites with a poor mortality record compared with Europe.

AIM: To identify and quantify all clinical features of kidney cancer in primary care.

DESIGN: Case-control study, using General Practice Research Database records.

METHOD: A total of 3149 patients aged ≥40 years, diagnosed with kidney cancer between 2000 and 2009, and 14 091 age, sex and practice-matched controls, were selected. Clinical features associated with kidney cancer were identified, and analysed using conditional logistic regression. Positive predictive values for features of kidney cancer were estimated.

RESULTS: Cases consulted more frequently than controls in the year before diagnosis: median 16 consultations (interquartile range 10-25) versus 8 (4-15): P<0.001. Fifteen features were independently associated with kidney cancer: visible haematuria, odds ratio 37 (95% confidence interval [CI] = 28 to 49), abdominal pain 2.8 (95% CI = 2.4 to 3.4), microcytosis 2.6 (95% CI = 1.9 to 3.4), raised inflammatory markers 2.4 (95% CI = 2.1 to 2.8), thrombocytosis 2.2 (95% CI = 1.7 to 2.7), low haemoglobin 1.9 (95% CI = 1.6 to 2.2), urinary tract infection 1.8 (95% CI = 1.5 to 2.1), nausea 1.8 (95% CI = 1.4 to 2.3), raised creatinine 1.7 (95% CI = 1.5 to 2.0), leukocytosis 1.5 (95% CI = 1.2 to 1.9), fatigue 1.5 (95% CI = 1.2 to 1.9), constipation 1.4 (95% CI = 1.1 to 1.7), back pain 1.4 (95% CI = 1.2 to 1.7), abnormal liver function 1.3 (95% CI = 1.2 to 1.5), and raised blood sugar 1.2 (95% CI = 1.1 to 1.4). The positive predictive value for visible haematuria in patients aged ≥60 years was 1.0% (95% CI = 0.8 to 1.3).

CONCLUSION: Visible haematuria is the commonest and most powerful single predictor of kidney cancer, and the risk rises when additional symptoms are present. When considered alongside the risk of bladder cancer, the overall risk of urinary tract cancer from haematuria warrants referral.

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10th February 2016

New Discovery Research publication

The SYMPTOM Study team's research into symptom appraisal for colorectal cancer has been published in BMJ Open. This is a unique piece of research which compares the appraisal and help seeking experiences of patients with colorectal cancer symptoms who go on to have cancer and those who turn out to have non-cancer conditions. The research did not identify any clear differences between the two groups but did identify important barriers to presentation around the ‘private nature’ of colorectal symptoms which will prove useful to policy makers and the design of awareness campaigns. To read more about the research paper see the results section here.

9th June 2015

Discovery conference slides available & new research publications

The Discovery Programme held its research conference at the Royal College of General Practitioners on June 2nd 2015. The team presented their research findings and outlined the impact of the programme to a wide range of patient groups, clinicians, policy makers, researchers and journalists. The PowerPoint slides used during the presentation have been uploaded to this website and can be viewed here.

There are also 2 new research papers to report. Chantal Balasooriya-Smeekens has published the literature review of her PhD in Psycho-Oncology, "The role of emotions in time to presentation for symptoms suggestive of cancer: a systematic review of quantitative studies". Abstract and publication details are here and further papers from Chantal's PhD will be published soon.

Nafees Din has published a new paper under the Discovery related research umbrella. The paper uses Discovery data drawn from the CAPER (theme 2) studies and considers "Age and Gender Variations in Cancer Diagnostic Intervals in 15 Cancers". Full publication details and abstract can be found here.