Objective The objective of this study was to examine the association between diabetes, and both urinary bladder cancer (UBC) risk and mortality.
Methods We conducted a retrospective cohort study using data from the UK Clinical Practice Research Datalink (CPRD) linked to the Office of National Statistics (ONS). Patients diagnosed with diabetes mellitus type 1 or 2, or using antidiabetic drugs (ADDs), were compared to matched non-diabetic controls. Cox proportional hazards models were used to estimate the risk and mortality of UBC. We adjusted for age, sex, smoking status and body mass index.
Results The cohort included 329 168 patients using ADD, and 307 315 controls with 1295 and 1071 patients, respectively, diagnosed as having UBC during follow-up. The adjusted HRs of UBC were 0.77 (95% CI 0.57 to 1.05) and 1.04 (95% CI 0.96 to 1.14) for type 1 and 2 diabetes, respectively. These results were similar if we restricted our analysis to an inception cohort. We noticed a small increased risk during the first year after diagnosis (HR=1.26 (95% CI 1.05 to 1.52)), which could be explained by detection bias. There was no influence of the severity of diabetes as measured by the glycated haemoglobin. Mortality of UBC was not increased for patients with either type 1 (HR=0.95 (95% CI 0.39 to 2.34)) or type 2 diabetes (HR=1.16 (95% CI 0.91 to 1.46)).
Conclusions Neither the risk of UBC nor the mortality from UBC was increased in patients with type 1 and patients with type 2 diabetes in the CPRD data.
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Strengths and limitations of this study
The Clinical Practice Research Datalink (CPRD) is a large population-based cohort representative of the total UK population.
Detailed longitudinal information on drug prescription is available within the CPRD, and 95% and 80% of patients with type 1 and 2 diabetes, respectively, had received a formal diabetes diagnosis.
Smoking status was available for all patients in our analysis.
Detailed information about the cause of death is available for 44% of the patients by linking the patients to the Office of National Statistics (ONS) data.
The effect of different antidiabetic drug medications is not considered in our analyses and this is a major limitation.
The global 2013 estimate of diabetes mellitus prevalence among adults (aged 20–79 years) was 8.3%, affecting 382 million adults in the world and 6.6% in the UK.1 Between 2010 and 2030, the number of adults with diabetes in developing countries is expected to increase by 69%, and by 20% in developed countries.2 ,3 In 2012, more than 400 000 cases of urinary bladder cancer (UBC) occurred worldwide, making it the seventh most common type of cancer.4 It is more frequent in men than in women, and age is now widely accepted as the greatest single risk factor for developing UBC. Cigarette smoking and specific occupational exposures, such as carcinogenic dyes for painters and some genetic polymorphisms, are the other main known causes of UBC.5 Previous meta-analyses from cohort and case–control studies have shown an increased risk of UBC associated with type 2 diabetes with relative risks (RR) ranging from 1.11 (95% CI 1.00 to 1.23) to 1.32 (95% CI 1.18 to 1.49).6–9 There is also evidence for a positive association between type 2 diabetes and mortality from UBC (RR=1.33 (95% CI 1.14 to 1.55).7 However, misclassification of type 1 and 2 diabetes was not excluded in these studies, because diagnostic codes were lacking and details about the diabetic history (duration, metabolic control) were not considered.
Two studies on type 1 diabetes reported an increased overall cancer incidence by 20%, while the mechanisms remain unclear.10 ,11 The observed number of bladder cancer cases in these studies is very small, ranging from 4 to 27 cases.10–12 The objective of this study was to examine the association between diabetes mellitus, and both UBC risk and mortality, taking into account diabetes duration, metabolic control as expressed by glycated haemoglobin (HbA1c) and type of diabetes.
We conducted a retrospective cohort study using data from the UK Clinical Practice Research Datalink (CPRD) (January 1987–October 2013) linked to the Office of National Statistics (ONS) (January 1998–January 2012). The CPRD comprises prospectively collected computerised medical records of over 10 million patients under the care of more than 600 general practitioners (GPs) in the UK. The Read classification is used to enter medical diagnoses and procedures, and prescriptions are recorded based on the UK Prescription Pricing Authority Dictionary.
The recorded information on diagnoses and drug use was validated, and proved to be of high quality.13 The ONS provided data for the cause(s) of death and the exact date of death as recorded on death certificates by a registered medical practitioner attending to the patient during their last period.
All patients with at least one prescription of antidiabetic drugs (ADDs) (oral antidiabetic drugs (NIADs) and/or insulin) and aged above 18 years during the period of valid CPRD data collection were included. Each ADD user was matched to one control patient by year of birth, sex and practice. Controls could have any disease as long as they were non-diabetic patients at baseline and during follow-up. The date of the first ADD prescription defined the index date and controls were assigned the same index date as their matched ADD user. All participants with missing data for smoking status, a history of any cancer prior to the index date, except non-melanoma skin cancer, or a diagnosis of gestational diabetes or secondary diabetes ever during follow-up were excluded. All control patients who used diabetes treatment or had ever been diagnosed with type 1 or 2 diabetes ever during follow-up were excluded. All ADD users with diagnoses of type 1 and 2 diabetes were excluded as well, as were patients aged 30 years and older without a diagnosis of diabetes, who used insulin only at baseline. All study participants were followed up from the index date to either the end of data collection, the date of transfer of the patient out of the practice area, or the patient’s death.
Patients with type 1 diabetes were defined as those patients with a formal diagnosis of type 1 diabetes (as recorded in CPRD) or younger than 30 years and using insulin only at index date. Patients with type 2 diabetes were all patients with a formal diagnosis of type 2 diabetes (as recorded in CPRD) or using an oral ADD at index date. The total period of follow-up for each patient (patients with diabetes and unexposed controls) was divided into fixed time periods of 90 days. Age was determined at the start of each interval. The classification of type 1 and 2 diabetes, as well as sex, smoking status and body mass index (BMI), was determined at baseline. Diabetes duration was assessed in a time-dependent manner by estimating the time since the date of the first ADD prescription (the index date). Diabetes control was assessed in a time-dependent manner using the most recent HbA1c record before the start of each time interval and within the previous year.
The primary outcome was UBC, as defined by Read codes, and was assessed in the complete CPRD study population (January 1987–October 2013). The secondary outcome was bladder cancer-related mortality as recorded on death certificates (International Classification of Diseases (ICD-10) categories C65, C67) and was assessed in the population eligible for linkage between CPRD and ONS data (44% of the participants). The period of follow-up was restricted to the time that ONS data were available (January 1998–January 2012).
The major covariates of interest included age, sex, smoking status and BMI. Smoking status was characterised at baseline as current, former or lifelong non-smoker.
Analyses were conducted using Cox proportional hazards models with various subanalyses. As time scale we used time since first ADD use. We tested the proportional hazard assumption by comparing patients with diabetes to non-diabetes controls. The assumption was not violated. The first analysis compared the risk of UBC in ADD users with that in control patients to yield an estimate of the RR (as a HR) of UBC associated with ADD use. The calculations were adjusted for age, sex, smoking status and BMI. Results were stratified to type 1 and type 2 diabetes. A sensitivity analysis was performed excluding women with polycystic ovarian syndrome (PCOS). In a secondary analysis, risks were estimated for an inception cohort of ADD users using a 1-year lead-in time. The risk of UBC for patients with incident type 2 diabetic was further stratified by disease duration, sex and HbA1c. The risk of UBC mortality in ADD users compared with that of controls was assessed by Cox models as well and results were stratified by type of diabetes. All data management and statistical analyses were conducted using SAS V.9.1/9.2 software.
This study was approved by the Medicines and Healthcare products Authorities’ Independent Scientific Advisory Committee, protocol number 13_050R.
After exclusion of all patients with a diagnosis of gestational diabetes (1983 and 154 for ADD users and controls, respectively), or secondary diabetes (485 and 70 for ADD users and controls, respectively), or cancer prior to index date (34 955 and 34 384 for ADD users and controls, respectively) or missing data for smoking status during follow-up (13 416 and 27 558 for ADD users and controls, respectively), the study population consisted of 329 168 patients with diabetes of whom 30 823 (9.4%) and 298 345 (90.6%) had type 1 and 2 diabetes, respectively, and 307 315 controls. Patients diagnosed with type 1 and 2 diabetes at baseline (7614) and patients without diagnosis, using insulin only at baseline and 30 years or older (10 178), were not included in our analysis.
Table 1 shows baseline characteristics. The mean age at index date was 58 years. Forty-six per cent of the patients with diabetes had a BMI of 30 or above in contrast with 30% of the control participants.
During nearly 6 years of follow-up, 1071 patients of the control group and 1295 of the ADD users were diagnosed with bladder cancer. Patients with type 1 diabetes had no significantly lower risk of UBC (HR=0.77 (95% CI 0.57 to 1.05)) than patients with type 2 diabetes (HR=1.04 (95% CI 0.96 to 1.14)) based on a Wald test (p=0.054). The results for incident ADD users were similar (table 2).
For patients with incident type 2 diabetes, we noticed an increased risk of UBC (HR=1.26 (95% CI 1.05 to 1.52)) during the first year after the first ADD prescription, compared to controls, which disappeared in subsequent years (table 3). Sixty per cent of the bladder cancers developed during the first 5 years after diabetes onset. There was no difference in UBC risk between male and female patients with type 2 diabetes (HR=1.11 (95% CI 0.98 to 1.25) and 1.01 (95% CI 0.79 to 1.29), respectively). In patients with type 2 diabetes, there was no influence of HbA1c as an indicator of diabetes severity on UBC risk (table 4). UBC-related mortality was neither increased in patients with type 1 diabetes (HR=0.79 (95% CI 0.32 to 1.94)) nor in patients with type 2 diabetes, compared to controls (HR=1.05 (95% CI 0.83 to 1.33)) (table 5).
We could not detect a significantly increased risk of UBC nor of increased mortality due to UBC in patients with type 1 and 2 diabetes compared to controls even if we reduced our cohort to incident ADD users. However, we noticed an increased risk of UBC in patients with type 2 diabetes during the first year after diagnosis. Diabetes control, as expressed by HbA1c, had no influence on the UBC risk in patients with type 2 diabetes.
Previous meta-analyses reported an increased risk.6–9 Even when these meta-analyses6–8 were restricted to studies that adjusted for smoking, there was still an increased RR ranging from 1.32 (95% CI 1.18 to 1.49) to 1.48 (95% CI 1.25 to 1.77), comparable to our RR for type 2 diabetes. On the other hand, in several studies, diabetes ascertainment was based on self-reporting.8 Those studies had an RR of 1.34 (95% CI 1.11 to 1.62). The increased risk of UBC in patients with diabetes decreased and significance disappeared when diabetes was asserted by other methods (RR=1.11 (95% CI 0.95 to 1.31)). Furthermore, not all studies distinguished between diabetes type 1 and 2. Most of the studies excluded type 1 diabetes as a diagnosis of diabetes before 30 years of age.7 ,8 Subgroup analysis of studies restricted to Europe did not show an increased risk of UBC in patients with type 2 diabetes.6–8 Hence, our results are in line with those of European studies.12 ,14–21 It is not clear why there is a difference between European studies and those of other regions.
An increased risk of UBC during the first year after diabetes diagnosis was found in several other studies.20 ,22–24 Likewise, for colorectal, lung, breast, liver, cervical, endometrial, ovarian, pancreatic and prostate cancers, a significantly increased risk was found within the months following diabetes onset.10 ,25 ,26 This most likely indicates the presence of a detection bias, in the sense that the diagnosis of diabetes leads to increased medical attention, and thus to earlier detection of any present but undiagnosed cancer. This phenomenon has also been observed immediately after the diagnosis of prostate cancer. The incidence of UBC was 18 times higher in patients with prostate cancer due to diagnostic bias.27 ,28 On the other hand, in contrast with some other studies, we could not confirm the hypothesis that fewer physician visits in the year before diabetes diagnosis increases the risk of bladder cancer diagnosis in contrast with some other studies.24 ,26 Apart from the increased risk of UBC during the first year of diabetes diagnosis, possibly due to detection bias, we did not find an association between diabetes duration and developing bladder cancer. Seeing that nearly 50% of the patients had a follow-up of more than 5 years and only 40% of the bladder cancers were diagnosed after these 5 years, while only 10% was diagnosed after 10 years, we can conclude that having diabetes for more than 5 years did not alter the risk of UBC.
Our finding of no association between HbA1c and cancer risk is consistent with the results of a recent meta-analysis of major randomised controlled trials.29
The strength of this study was that the CPRD is a large population-based cohort, representative of the total UK population. Type 2 diabetes accounts for 85% to 95% of all diabetes in high-income countries.1 In the UK, 10% of the people with diabetes have type 1,30 which was confirmed in our analysis (9.4%). We had detailed longitudinal information on drug prescription, and 95% and 80% of the patients with type 1 and 2 diabetes, respectively, had received a formal diabetes diagnosis. Patients with type 1 and 2 diabetes at baseline, and patients without diagnosis, using insulin only at baseline and 30 years or older, were excluded from our analysis. Consulting rates for diabetes in the CPRD have been compared with equivalent data from the fourth National Morbidity Survey in General Practice, confirming the validity of the morbidity data in the CPRD.31 Furthermore, since 2004, GPs have been stimulated to provide ‘quality care’ by the Quality and Outcomes Framework (QOF). The UK has a National Service Framework for Diabetes (NSF).32 Guidelines to be followed by the GPs are outlined in the guideline for type 133 and 2 diabetes34 of the National Institute of Health and Care Excellence (NICE). For diagnosis, the NICE guideline refers to the International Diabetes Federation (IDF) Diabetes Atlas.1 Diagnosis of diabetes is directly linked with prescription of ADD whereas Impaired Glucose Tolerance (IGT) is referred to as people whose blood glucose levels are high but not as high as those in people with diabetes. Our cohort was restricted to those patients receiving ADD. Furthermore, we had HbA1c values for 1251 of the 1295 patients with bladder cancer. So, 96% of the patients have additional proof of being diabetic.
Metformin can also be used to treat obesity or PCOS. We have no means to test the possible effect of metformin prescribed for obesity, although the clinical impression exists that such treatments tend to be relatively short. In our cohort, 12 841 women were diagnosed with PCOS. None of them developed UBC. A sensitivity analysis, excluding those PCOS women, showed exactly the same HRs. Additionally, we have information on the smoking status of all patients who were included in our analysis, which is essential given that smoking is one of the major risk factors for bladder cancer.5 The link with the ONS data allowed us to have detailed information about the cause of death for 44% of patients.
The fact that the effect of different antidiabetic drug medications was not considered in our analyses is a major limitation. We are aware of the fact that metformin can have a protective effect on cancer3 ,35 and that pioglitazone could be associated with an increased risk of bladder cancer.36–40 This was, however, beyond the scope of this study.
With this study, and against the background of all previous research, the likelihood of a clinically relevant association between diabetes and UBC risk has become very limited. The influence of antidiabetic treatment on bladder cancer risk, however, is still contradictable and requires further study in the future.
Neither the risk of UBC nor the mortality from UBC was observed to be increased in patients with type 1 or type 2 diabetes in the CPRD data. Our results are in line with those of previous European studies.
Contributors MEG wrote the manuscript and researched data. MTB performed the statistical analysis and reviewed the manuscript. FB and MPZ reviewed/edited the manuscript. FdV and MLDB provided the data and reviewed/edited the manuscript.
Funding The research leading to the results of this study received funding from the European Community's Seventh Framework Programme (FP-7) under grant agreement number 282526, the CARING project. The funding source had no role in study design, data collection, data analysis, data interpretation or writing of the report.
Competing interests The Department of Pharmacoepidemiology and Clinical Pharmacology employing authors MTB and FdV received unrestricted funding for pharmacoepidemiological research from GlaxoSmithKline, Novo Nordisk, the private–public-funded Top Institute Pharma (http://www.tipharma.nl; includes co-funding from universities, government and industry), the Dutch Medicines Evaluation Board and the Dutch Ministry of Health. The GPRD is owned by the UK Department of Health and operates within the Medicines and Healthcare Products Regulatory Agency (MHRA). GPRD is funded by the MHRA, Medical Research Council, various universities, contract research organisations and pharmaceutical companies. MLDB is employed by Utrecht University as a senior researcher conducting research in collaboration with the WHO Collaborating Centre for pharmaceutical policy and regulation. This Centre receives no direct funding or donations from private parties, including the pharma industry. Research funding from public-private partnerships, for example, IMI and TI Pharma (http://www.tipharma.nl), is accepted under the condition that no company-specific product or company related study is conducted. The Centre has received unrestricted research funding from public sources, for example, Netherlands Organization for Health Research and Development (ZonMW), the Dutch Health Care Insurance Board (CVZ), EU 7th Framework Program (FP7), Dutch Medicines Evaluation Board (MEB) and Dutch Ministry of Health.
Ethics approval Medicines and Healthcare products Authorities’ Independent Scientific Advisory Committee.
Provenance and peer review Not commissioned; externally peer reviewed.
Data sharing statement CPRD data are available under license with the Medicines and Healthcare products Regulatory Agency (MHRA) in London, UK. The datasets that have been used for this project have been licensed by the MHRA. Access to datasets that have been used for this study are available for audit purposes only, conditional on permission by the MHRA.
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