Symptom lead times in lung and colorectal cancers: What are the benefits of symptom-based approaches to early diagnosis?

British Journal of Cancer

Volumn 112, Issue 2, 2015, Pages 271-277

  Biswas, M ^a   Ades, A E ^a   Hamilton, W ^b  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF EXETER MEDICAL SCHOOL   (United Kingdom)

Author keywords

Colorectal cancer; Lung cancer; Symptom lead time; Symptom based diagnosis

Indexed keywords

ARTICLE; CANCER DIAGNOSIS; CANCER INCIDENCE; CANCER SCREENING; CANCER STAGING; CASE CONTROL STUDY; COLORECTAL CANCER; CONTROLLED STUDY; COUGHING; DIAGNOSTIC TEST ACCURACY STUDY; EARLY DIAGNOSIS; HUMAN; LUNG CANCER; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECTUM HEMORRHAGE; SENSITIVITY AND SPECIFICITY; SYMPTOM LEAD TIME; SYMPTOMATOLOGY; THORAX PAIN; YOUDEN INDEX; COLORECTAL NEOPLASMS; EARLY CANCER DIAGNOSIS; INCIDENCE; LUNG NEOPLASMS; PRIMARY HEALTH CARE;

CASE-CONTROL STUDIES; COLORECTAL NEOPLASMS; EARLY DETECTION OF CANCER; HUMANS; INCIDENCE; LUNG NEOPLASMS; PRIMARY HEALTH CARE; SENSITIVITY AND SPECIFICITY;

EID: 84921977674     PISSN: 00070920     EISSN: 15321827     Source Type: Journal    
DOI: 10.1038/bjc.2014.597     Document Type: Article

References (26)

1. Ades A, Biswas M, Welton N, Hamilton W (2014) Symptom lead time distribution in lung cancer: natural history and prospects for early diagnosis. Int J Epidemiol; e-pub ahead of print 29 August 2014; doi:10.1093/ije/dyu174.
2. Brenner H, Altenhofen L, Katalinic A, Lansdorp-Vogelaar I, Hoffmeister M (2011) Sojourn time of preclinical colorectal cancer by sex and age: estimates from the German national screening colonoscopy database. Am J Epidemiol 174(10): 1140-1146.
3. Cancer Research UK (2014a) Be Clear on Cancer: Evaluation summary May 2014. Cancer Research UK: London, UK.
4. Cancer Research UK (2014b) National Awareness and Early Diagnosis Initiative (NAEDI). Available at http://www.cancerresearchuk.org/cancer-info/spotcancerearly/naedi/ (accessed 15 July 2014).
5. Day N, Walter S (1984) Simplified models of screening for chronic disease: Estimation procedures from mass screening programmes. Biometrics 40(1): 1-14.
6. Department of Health (2012) Promoting early diagnosis of breast, bowel and lung cancers: first report 2010/11 local projects. Department of Health: London, UK.
7. Duffy S, Chen H, Tabar L, Day N (1995) Estimation of mean sojourn time in breast cancer screening using a Markov chain model of both entry to and exit from the preclinical detectable phase. Stat Med 14(14): 1531-1543.
8. Friedman GD, Skilling JS, Udaltsova NV, Smith LH (2005) Early symptoms of ovarian cancer: a case-control study without recall bias. Fam Pract 22(5): 548-553.
9. Hamilton W (2009) The CAPER studies: five case-control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients. Br J Cancer 101(Suppl 2): S80-S86.
10. Hamilton W, Peters T, Round A, Sharp D (2005) What are the clinical features of lung cancer before the diagnosis is made? A population based case-control study. Thorax 60(12): 1059-1065.
11. Hippisley-Cox J, Coupland C (2011) Identifying patients with suspected lung cancer in primary care: Derivation and validation of an algorithm. Br J Gen Pract 61(592): e715-e723.
12. Iyen-Omofoman B, Tata L, Baldwin D, Smith C, Hubbard R (2013) Using socio-demographic and early clinical features in general practice to identify people with lung cancer earlier. Thorax 68(5): 451-459.
13. Jang H, Kim S, Wu D (2013) Bayesian lead time estimation for the Johns Hopkins Lung Project data. J Epidemiol Global Health 3(3): 157-163.
14. Lim AWW, Mesher D, Gentry-Maharaj A, Balogun N, Jacobs I, Menon U, Sasieni P (2012) Predictive value of symptoms for ovarian cancer: comparison of symptoms reported by questionnaire, interview, and general practitioner notes. J Natl Cancer Inst 104: 1-11.
15. Lunn DJ, Thomas A, Best N, Spiegelhalter D (2000) WinBUGS - a Bayesian modelling framework: concepts, structure, and extensibility. Stat Comput 10: 325-337.
16. National Institute for Health and Care Excellence (NICE) (2005) Referral Guidelines for suspected cancer. NICE: London, UK.
17. Prevost TC, Launoy G, Duffy SW, Chen HH (1998) Estimating sensitivity and sojourn time in screening for colorectal cancer: a comparison of statistical approaches. Am J Epidemiol 148(6): 609-619.
18. Scottish Intercollegiate Guidelines Network (SIGN) (2014) SIGN 137: Management of Lung Cancer. SIGN: Edinburgh, UK.
19. Shephard E, Stapley S, Neal R, Rose P, Walter F, Hamilton W (2012) Clinical features of bladder cancer in primary care. Br J Gen Pract 62: e598-e604.
20. Shephard E, Stapley S, Neal R, Rose P, Walter F, Hamilton W (2013) Clinical features of kidney cancer in primary care. Br J Gen Pract 63: e250-e255.
21. Spiegelhalter D, Thomas A, Best N, Lunn D (2007) WinBUGS User Manual Version 1.4 January 2003. Upgraded to Version 1.4.3. Available from: http://www.mrc-bsu.cam.ac.uk/bugs/ (accessed 2014).
22. Stapley S, Peters T, Neal R, Rose P, Walter F, Hamilton W (2012) The risk of pancreatic cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 106(12): 1940-1944.
23. Stapley S, Peters T, Neal R, Rose P, Walter F, Hamilton W (2013) The risk of oesophago-gastric cancer in symptomatic patients in primary care: a large case-control study using electronic records. Br J Cancer 108(1): 25-31.
24. Walker S, Hyde C, Hamilton W (2013) Risk of uterine cancer in symptomatic women in primary care: case-control study using electronic records. Br J Gen Pract 63: e643-e648.
25. Walters S, Maringe C, Coleman M, Peake M, Butler J, Young N, Bergstrom S, Hanna L, Jakobsen E, Kolbeck K, Sundstrom S, Engholm G, Gavin A, Gjerstorff M, Hatcher J, Johannesen T, Linklater K, McGahan C, Steward J, Tracey E, Turner D, Richards M, Rachet B, IMW G (2013) Lung cancer survival and stage at diagnosis in Australia, Canada, Denmark, Norway, Sweden and the UK: A population-based study, 2004-2007. Thorax 68(6): 551-564.
26. Zheng W, Rutter C (2012) Estimated mean sojourn time associated with hemoccult SENSA for detection of proximal and distal colorectal cancer. Cancer Epidemiol Biomarkers Prev 21(10): 1722-1730.