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. 2018 Sep;68(674):e586-e593.
doi: 10.3399/bjgp18X698357. Epub 2018 Aug 13.

Early detection of multiple myeloma in primary care using blood tests: a case-control study in primary care

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Early detection of multiple myeloma in primary care using blood tests: a case-control study in primary care

Constantinos Koshiaris et al. Br J Gen Pract. 2018 Sep.

Abstract

Background: Multiple myeloma is a haematological cancer characterised by numerous non-specific symptoms leading to diagnostic delay in a large proportion of patients.

Aim: To identify which blood tests are useful in suggesting or excluding a diagnosis of myeloma.

Design and setting: A matched case-control study set in UK primary care using routinely collected data from the Clinical Practice Research Datalink.

Method: Symptom prevalence and blood tests were analysed up to 5 years before diagnosis in 2703 cases and 12 157 matched controls. Likelihood ratios (LR) were used to classify tests or their combinations as useful rule-in tests (LR+ = ≥5), or rule-out tests (LR- = ≤0.2).

Results: Raised plasma viscosity (PV) had an LR+ = 2.0, 95% confidence interval [CI] = 1.7 to 2.3; erythrocyte sedimentation rate (ESR) 1.9, 95% CI = 1.7 to 2.0; and C-reactive protein (CRP) 1.2, 95% CI = 1.1 to 1.4. A normal haemoglobin had an LR- = 0.42, 95% CI = 0.39 to 0.45; calcium LR- = 0.81, 95% CI = 0.78 to 0.83; and creatinine LR- = 0.80, 95% CI = 0.77 to 0.83. The test combination with the lowest LR- was all normal haemoglobin with calcium and PV, which had an LR- = 0.06, 95% CI = 0.02 to 0.18, though the LR- for normal haemoglobin and PV together was 0.12 (95% CI = 0.07 to 0.23).

Conclusion: Plasma viscosity and ESR are better for both ruling in and ruling out the disease compared with C-reactive protein. A combination of a normal ESR or PV and normal haemoglobin is a simple rule-out approach for patients currently being tested in primary care.

Keywords: blood; case–control studies; diagnosis; inflammatory; multiple myeloma; primary care.

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Figures

Figure 1.
Figure 1.
Haemoglobin, mean corpuscular volume, calcium, and creatinine trajectories up to 5 years before diagnosis. Time before diagnosis is split into 90-day intervals and the mean test value for each group is displayed with a 95% confidence interval.
Figure 2.
Figure 2.
Inflammatory marker trajectories up to 5 years before diagnosis. Time before diagnosis is split into 90-day intervals and the mean test value is displayed for cases and controls with a 95% confidence interval.

Comment in

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