The importance of anaemia in diagnosing colorectal cancer: a case-control study using electronic primary care records.
Although anaemia is recognised as a feature of colorectal cancer, the precise risk is unknown. We performed a case-control study using electronic primary care records from the Health Improvement Network database, UK. A total of 6442 patients had a diagnosis of colorectal cancer, and were matched to 45 066 controls on age, sex, and practice. We calculated likelihood ratios and positive predictive values for colorectal cancer in both sexes across 1 g dl(-1) haemoglobin and 10-year age bands, and examined the features of iron deficiency. In men, 178 (5.2%) of 3421 cases and 47 (0.2%) of 23,928 controls had a haemoglobin <9.0 g dl(-1), giving a likelihood ratio (95% confidence interval) of 27 (19, 36). In women, the corresponding figures were 227 (7.5%) of 3021 cases and 58 (0.3%) of 21,138 controls, a likelihood ratio of 41 (30, 61). Positive predictive values increased with age and for each 1 g dl(-1) reduction in haemoglobin. The risk of cancer for current referral guidance was quantified. For men over 60 years with a haemoglobin <11 g dl(-1) and features of iron deficiency, the positive predictive value was 13.3% (9.7, 18) and for women with a haemoglobin <10 g dl(-1) and iron deficiency, the positive predictive value was 7.7% (5.7, 11). Current guidance for urgent investigation of anaemia misses some patients with a moderate risk of cancer, particularly men.
Hamilton
W
W
Academic Unit of Primary Health Care, Department of Community Based Medicine, University of Bristol, 25 Belgrave Road, Bristol BS8 2AA, UK. w.hamilton@bristol.ac.uk
Lancashire
R
R
Sharp
D
D
Peters
T J
TJ
Cheng
K K
KK
Marshall
T
T
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000740:Anemia / Q000175:diagnosis* / Q000453:epidemiology / Q000209:etiology*; D016022:Case-Control Studies; D015179:Colorectal Neoplasms / Q000097:blood / Q000150:complications* / Q000175:diagnosis* / Q000453:epidemiology; D016208:Databases, Factual; D001330:Electronic Data Processing; D005260:Female; D006454:Hemoglobins / Q000032:analysis; D006801:Humans; D015994:Incidence; D008297:Male; D016347:Medical Records Systems, Computerized; D008875:Middle Aged; D011237:Predictive Value of Tests
D006454:Hemoglobins