Increasing cancer risk over calendar year in people with multiple sclerosis: a case–control study

Background Data on cancer prevalence and incidence in multiple sclerosis (MS) patients are controversial. This study is aimed at estimating cancer risk in MS patients. Methods Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice R...

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Veröffentlicht in:Journal of neurology 2021-03, Vol.268 (3), p.817-824
Hauptverfasser: Zecca, Chiara, Disanto, Giulio, Sacco, Rosaria, MacLachlan, Sharon, Kuhle, Jens, Ramagopalan, Sreeram V., Gobbi, Claudio
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container_issue 3
container_start_page 817
container_title Journal of neurology
container_volume 268
creator Zecca, Chiara
Disanto, Giulio
Sacco, Rosaria
MacLachlan, Sharon
Kuhle, Jens
Ramagopalan, Sreeram V.
Gobbi, Claudio
description Background Data on cancer prevalence and incidence in multiple sclerosis (MS) patients are controversial. This study is aimed at estimating cancer risk in MS patients. Methods Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice Research Datalink. Cancer diagnoses after first MS code (index date) was counted in 10,204 MS patients and 39,448 controls matched by sex, age, general practitioner, and registration year. Cancer rates were compared using multivariable Cox regression models. Ethics approval was not required. Results Cancer was reported in 433 (4.41%) MS patients and 2014 (5.31%) controls after index date. Cancer risk was associated with gender (HR for female = 0.88, 95% CI = 0.81–0.96, p  = 0.004), age at index date (HR = 1.06, 95% CI = 1.06–1.07, p  
doi_str_mv 10.1007/s00415-020-10170-5
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This study is aimed at estimating cancer risk in MS patients. Methods Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice Research Datalink. Cancer diagnoses after first MS code (index date) was counted in 10,204 MS patients and 39,448 controls matched by sex, age, general practitioner, and registration year. Cancer rates were compared using multivariable Cox regression models. Ethics approval was not required. Results Cancer was reported in 433 (4.41%) MS patients and 2014 (5.31%) controls after index date. Cancer risk was associated with gender (HR for female = 0.88, 95% CI = 0.81–0.96, p  = 0.004), age at index date (HR = 1.06, 95% CI = 1.06–1.07, p  &lt; 0.001), and index year (HR = 1.01, 95% CI = 1.00–1.02, p  = 0.016), but not with MS status (HR = 0.95, 95% CI = 0.86–1.05, p  = 0.323). A significant interaction between MS status and index year was found (HR = 1.02, 95% CI = 1.00–1.04, p  = 0.022). Cancer risk was positively associated with index year among MS patients (HR = 1.03, 95% CI = 1.01–1.05; p  = 0.010), but not controls (HR = 1.01, 95% CI = 0.99–1.02; p  = 0.144). MS patients compared to controls had no increased risk for any specific cancer type. Conclusions Overall cancer risk was similar in multiple sclerosis patients and matched controls. 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This study is aimed at estimating cancer risk in MS patients. Methods Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice Research Datalink. Cancer diagnoses after first MS code (index date) was counted in 10,204 MS patients and 39,448 controls matched by sex, age, general practitioner, and registration year. Cancer rates were compared using multivariable Cox regression models. Ethics approval was not required. Results Cancer was reported in 433 (4.41%) MS patients and 2014 (5.31%) controls after index date. Cancer risk was associated with gender (HR for female = 0.88, 95% CI = 0.81–0.96, p  = 0.004), age at index date (HR = 1.06, 95% CI = 1.06–1.07, p  &lt; 0.001), and index year (HR = 1.01, 95% CI = 1.00–1.02, p  = 0.016), but not with MS status (HR = 0.95, 95% CI = 0.86–1.05, p  = 0.323). A significant interaction between MS status and index year was found (HR = 1.02, 95% CI = 1.00–1.04, p  = 0.022). Cancer risk was positively associated with index year among MS patients (HR = 1.03, 95% CI = 1.01–1.05; p  = 0.010), but not controls (HR = 1.01, 95% CI = 0.99–1.02; p  = 0.144). MS patients compared to controls had no increased risk for any specific cancer type. Conclusions Overall cancer risk was similar in multiple sclerosis patients and matched controls. 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This study is aimed at estimating cancer risk in MS patients. Methods Nested case–control study using data collected between 01/01/1987 and 28/02/2016 from the United Kingdom Clinical Practice Research Datalink. Cancer diagnoses after first MS code (index date) was counted in 10,204 MS patients and 39,448 controls matched by sex, age, general practitioner, and registration year. Cancer rates were compared using multivariable Cox regression models. Ethics approval was not required. Results Cancer was reported in 433 (4.41%) MS patients and 2014 (5.31%) controls after index date. Cancer risk was associated with gender (HR for female = 0.88, 95% CI = 0.81–0.96, p  = 0.004), age at index date (HR = 1.06, 95% CI = 1.06–1.07, p  &lt; 0.001), and index year (HR = 1.01, 95% CI = 1.00–1.02, p  = 0.016), but not with MS status (HR = 0.95, 95% CI = 0.86–1.05, p  = 0.323). A significant interaction between MS status and index year was found (HR = 1.02, 95% CI = 1.00–1.04, p  = 0.022). 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subjects Cancer
Medical diagnosis
Medicine
Medicine & Public Health
Multiple sclerosis
Neurology
Neuroradiology
Neurosciences
Original Communication
Regression analysis
title Increasing cancer risk over calendar year in people with multiple sclerosis: a case–control study
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