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Nguyen TH, De Leo G, Barefield A. Factors Associated with Controlled Glycemic Levels in Type 2 Diabetes Patients: Study from a Large Medical Center and Its Satellite Clinics in Southeast Region in the USA. Healthcare (Basel) 2023; 12:26. [PMID: 38200932 PMCID: PMC10779028 DOI: 10.3390/healthcare12010026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 01/12/2024] Open
Abstract
Diabetes, including type 1, type 2, and gestational, is a significant public health issue responsible for various clinical, economic, and societal issues. Most of the consequences, if uncontrolled, can result in serious health problems, such as heart disease, vision loss, and kidney disease. Approximately 37.3 million Americans have diabetes, including 37.1 million adults 18 years or older, with 90-95% type 2 diabetes (T2D). The purpose of this study is (1) to explore the profile of patients with T2D and (2) to identify the associated factors of diabetic status. Examined factors included sociodemographic characteristics, social factors, and comorbidities. The study analyzed a primary dataset from a retrospective chart review of adult patients with T2D who were seen at a large medical center and its satellite clinics in the southeast region of the United States in 2019. Sex, dyslipidemia, and the number of concordant comorbidities were found to be significant associated factors of diabetic status. In the era of intertwined patient-centered approach and public health, the study's findings can guide treatment plans and interventions targeting individuals and communities.
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Affiliation(s)
- Tran Ha Nguyen
- Department of Health Management, Economics and Policy, Augusta University, Augusta, GA 30912, USA;
| | - Gianluca De Leo
- Department of Health Management, Economics and Policy, Augusta University, Augusta, GA 30912, USA;
| | - Amanda Barefield
- Department of Undergraduate Health Professions, Augusta University, Augusta, GA 30912, USA;
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Khadka T, Giri GK, Mandal D, Shrestha A, Dhungel A, Vaidya A. Multimorbidity in Diabetic Patients Admitted to a Tertiary Care Center: A Descriptive Cross-sectional Study. JNMA J Nepal Med Assoc 2023; 61:50-53. [PMID: 37203928 PMCID: PMC10089050 DOI: 10.31729/jnma.7922] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Indexed: 06/13/2024] Open
Abstract
INTRODUCTION Multimorbidity is defined as the co-occurrence of two or more chronic conditions in the same individual. Type 2 Diabetes Mellitus rarely occurs without coexisting diseases. With an increasing elder population and longevity, elder adults have a higher prevalence of chronic morbidity, thus increasing the chances of experiencing more than one non-communicable chronic condition, where the impact of multimorbidity is greater than the cumulative effect of the single condition. The study aimed to find out the prevalence of multimorbidity in diabetic patients admitted to a tertiary care centre. METHODS A descriptive cross-sectional study was conducted utilising hospital records of patients with type 2 diabetes mellitus admitted to the Department of Medicine from 1 April 2021 to 1 April 2022. Ethical clearance was obtained from the Institutional Review Committee of the same institute (Reference number: 12082022/07). The diagnosed cases of type 2 diabetic patients aged more than 18 years and confirmed with serum glucose levels were included in the study. Convenience sampling was used. Point estimate and 95% Confidence Interval were calculated. RESULTS Out of the 107 diabetic patients, multimorbidity was present in 75 patients (70.10%) (61.42-78.77, 95% Confidence Interval). CONCLUSIONS The prevalence of multimorbidity is higher than the similar studies done in similar settings. KEYWORDS co-morbidity; diabetes mellitus; multimorbidity; osteoarthritis.
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Affiliation(s)
- Tunam Khadka
- Kathmandu Medical College and Teaching Hospital, Sinamangal, Kathmandu, Nepal
| | - Ganesh Kumar Giri
- Manmohan Memorial Medical College and Teaching Hospital, Swoyambhu, Kathmandu, Nepal
| | - Deependra Mandal
- Kathmandu Medical College and Teaching Hospital, Sinamangal, Kathmandu, Nepal
| | - Ashmita Shrestha
- Manmohan Memorial Medical College and Teaching Hospital, Swoyambhu, Kathmandu, Nepal
| | - Alok Dhungel
- Department of Medicine, Kathmandu Medical College and Teaching Hospital, Sinamangal, Kathmandu, Nepal
| | - Abhinav Vaidya
- Department of Community Medicine, Kathmandu Medical College and Teaching Hospital, Sinamangal, Kathmandu, Nepal
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Bernabe-Ortiz A, Borjas-Cavero DB, Páucar-Alfaro JD, Carrillo-Larco RM. Multimorbidity Patterns among People with Type 2 Diabetes Mellitus: Findings from Lima, Peru. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9333. [PMID: 35954689 PMCID: PMC9367906 DOI: 10.3390/ijerph19159333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/19/2022] [Accepted: 07/27/2022] [Indexed: 11/17/2022]
Abstract
BACKGROUND Type 2 diabetes (T2DM) is a chronic condition with a high disease burden worldwide, and individuals with T2DM often have other morbidities. Understanding the local multimorbidity profile of patients with T2DM will inform precision medicine and public health, so that tailored interventions can be offered according to the different profiles. METHODS An analysis was conducted of electronic health records (2016-2021) in one hospital in Lima, Peru. Based on ICD-10 codes and the available measurements (e.g., body mass index), we identified all T2DM cases and quantified the frequency of the most common comorbidities (those in ≥1% of the sample). We also conducted k-means analysis that was informed by the most frequent comorbidities, to identify clusters of patients with T2DM and other chronic conditions. RESULTS There were 9582 individual records with T2DM (mean age 58.6 years, 61.5% women). The most frequent chronic conditions were obesity (29.4%), hypertension (18.8%), dyslipidemia (11.3%), hypothyroidism (6.4%), and arthropathy (3.6%); and 51.6% had multimorbidity: 32.8% had only one, 14.1% had two, and 4.7% had three or more extra chronic conditions in addition to T2DM. The cluster analysis revealed four unique groups: T2DM with no other chronic disease, T2DM with obesity only, T2DM with hypertension but without obesity, and T2DM with all other chronic conditions. CONCLUSIONS More than one in two people with T2DM had multimorbidity. Obesity, hypertension, and dyslipidemia were the most common chronic conditions that were associated with T2DM. Four clusters of chronic morbidities were found, signaling mutually exclusive profiles of patients with T2DM according to their multimorbidity profile.
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Affiliation(s)
- Antonio Bernabe-Ortiz
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima 15074, Peru;
- School of Medicine, Universidad Científica del Sur, Lima 15067, Peru
| | | | | | - Rodrigo M. Carrillo-Larco
- CRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima 15074, Peru;
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London SW7 2AZ, UK
- Universidad Continental, Lima 15046, Peru
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van den Boom L, Buchal G, Kaiser M, Kostev K. Multimorbidity Among Adult Outpatients With Type 1 Diabetes in Germany. J Diabetes Sci Technol 2022; 16:152-160. [PMID: 33095037 PMCID: PMC8875064 DOI: 10.1177/1932296820965261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
AIM The aim of this cross-sectional retrospective study was to estimate the prevalence of different physical and psychiatric disorders as well as multimorbidity in outpatients with type 1 diabetes (T1D) in Germany. METHODS A total of 6967 adult patients with T1D from 958 general or diabetologist practices in Germany between January 2015 and December 2019 from the Disease Analyzer database (IQVIA) were included. The main outcome of the study was the prevalence of different diabetes-related and nondiabetes-related disorders within 12 months prior to the last outpatient visit. Multivariate logistic regression models were fitted with multimorbidity differently defined as >2, >3, >4, and >5 different disorders as a dependent variable and age, sex, glycated hemoglobin (HbA1c) values, and insulin pump therapy as impact variables. RESULTS Mean age (standard deviation [SD]) was 45.3 (16.7) years; 42.9% were women, the mean HbA1c was 7.9% (SD: 1.4%). The most frequent disorder was arterial hypertension (31.2%), followed by dyslipidemia (26.4%), dorsalgia (20.4%), diabetic neuropathy (17.3%), and depression (14.6%). The proportion of thyroid gland disorders, retinopathy, urethritis, iron deficiency anemia, and psychiatric disorders was higher in women than in men. Hypertension and mental and behavioral disorders due to the use of tobacco were higher in men. On average, each patient was diagnosed with 3.1 different disorders. Age had the strongest association with multimorbidity, followed by HbA1c value and female sex. CONCLUSION In summary, patients with T1D are often multimorbid, and the multimorbidity is associated with higher gender, female sex, and high HbA1c values. Understanding all of these factors can help practitioners create a risk profile for every patient.
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Affiliation(s)
| | | | - Marcel Kaiser
- Diabetologische Schwerpunktpraxis, Frankfurt, German
| | - Karel Kostev
- Epidemiology, IQVIA, Frankfurt, Germany
- Karel Kostev, DMSc, PhD, Epidemiology, IQVIA, Unterschweinstiege 2-14, Frankfurt am Main, 60549 Germany.
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Heikkala E, Mikkola I, Jokelainen J, Timonen M, Hagnäs M. Multimorbidity and achievement of treatment goals among patients with type 2 diabetes: a primary care, real-world study. BMC Health Serv Res 2021; 21:964. [PMID: 34521389 PMCID: PMC8442281 DOI: 10.1186/s12913-021-06989-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/07/2021] [Indexed: 12/15/2022] Open
Abstract
Background Type 2 diabetes (T2D), with its prevalence and disability-causing nature, is a challenge for primary health care. Most patients with T2D are multimorbid, i.e. have one or more long-term diseases in addition to T2D. Multimorbidity may play a role in the achievement of T2D treatment targets, but is still not fully understood. The aims of the present cross-sectional, register-based study were to evaluate the prevalence and the most common patterns of multimorbidity among patients with T2D; and to study the potential associations between multimorbidity and treatment goal achievement, including measurements of glycosylated haemoglobin A1c (HbA1c), low-density lipoprotein (LDL) and systolic blood pressure (sBP). Methods The study population consisted of 4545 primary care patients who received a T2D diagnosis between January 2011 and July 2019 in Rovaniemi Health Centre, Finland. Data on seven long-term concordant (T2D-related) diseases, eight long-term discordant (non-T2D-related) diseases, potential confounders (age, sex, body mass index, prescribed medication), and the outcomes studied were collected from patients’ records. Logistic regression models with odds ratios (ORs) and 95 % confidence intervals (CIs) were assessed to determine the associations between multimorbidity and the achievement of treatment targets. Results Altogether, 93 % of the patients had one or more diseases in addition to T2D, i.e. were considered multimorbid. Furthermore, 21 % had only concordant disease(s) (Concordant subgroup), 8 % had only discordant disease(s) (Discordant subgroup) and 64 % had both (Concordant and discordant subgroup). As either single diseases or in combination with others, hypertension, musculoskeletal (MS) disease and hyperlipidaemia were the most prevalent multimorbidity patterns. Being multimorbid in general (OR 1.32, CI 1.01–1.70) and belonging to the Concordant (OR 1.45, CI 1.08–1.95) and Concordant and discordant (OR 1.31, CI 1.00–1.72) subgroups was associated with achievement of the HbA1c treatment target. Belonging to the Concordant and discordant subgroup was related to meeting the LDL treatment target (OR 1.31, CI 1.00–1.72). Conclusions Multimorbidity, including cardiovascular risk and the musculoskeletal disease burden, was extremely prevalent among the T2D patients who consulted primary health care. Primary care clinicians should survey the possible co-existence of long-term diseases among T2D patients to help maintain adequate treatment of T2D.
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Affiliation(s)
- Eveliina Heikkala
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland. .,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland. .,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland.
| | - Ilona Mikkola
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland
| | - Jari Jokelainen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Markku Timonen
- Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
| | - Maria Hagnäs
- Rovaniemi Health Center, Koskikatu 25, 96200, Rovaniemi, Finland.,Medical Research Center Oulu, University of Oulu and Oulu University Hospital, PO Box 5000, 90014, Oulu, Finland.,Center for Life Course Health Research, University of Oulu, PO Box 5000, 90015, Oulu, Finland
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Eilat-Tsanani S, Margalit A, Golan LN. Occurrence of comorbidities in newly diagnosed type 2 diabetes patients and their impact after 11 years' follow-up. Sci Rep 2021; 11:11071. [PMID: 34040053 PMCID: PMC8155151 DOI: 10.1038/s41598-021-90379-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Accepted: 05/04/2021] [Indexed: 12/30/2022] Open
Abstract
The burden of type 2 diabetes is growing, not only through increased incidence, but also through its comorbidities. Concordant comorbidities for type 2 diabetes, such as cardiovascular diseases, are considered expected outcomes of the disease or disease complications, while discordant comorbidities are not considered to be directly related to type 2 diabetes and are less extensively addressed under diabetes management. Here we show that the combination of concordant and discordant comorbidities appears frequently in persons with diabetes (75%). Persons with combined comorbidities visited family physicians more than persons with discordant, concordant or no comorbidity (17.3 ± 10.2, 11.6 ± 6.5, 8.7 ± 6.8, 6.3 ± 6.6 visits/person/year respectively, p < 0.0001). The risk of death during the study period was highest in persons with combined comorbidities and discordant only comorbidities (HR = 33.4; 95% CI 12.5–89.2 and HR = 33.5; 95% CI 11.7–95.8), emphasizing the contribution of discordant comorbidities to the outcome. Our study is unique as a long-term follow-up of an 11-year cohort of 9725 persons with new-onset type 2 diabetes. The findings highlight the contribution of discordant comorbidity to the burden of the disease. The high prevalence of the combination of both concordant and discordant comorbidities, and their appearance before the onset of type 2 diabetes, indicates a continuum of morbidity.
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Affiliation(s)
- Sophia Eilat-Tsanani
- The Department of Family Medicine, Emek Medical Center, Yitzhak Rabin Boulevard 21, 1834111, Afula, Israel. .,Clalit Health Services, Northern Region, Nof Hagalil, Israel. .,Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel.
| | - Avital Margalit
- The Department of Family Medicine, Emek Medical Center, Yitzhak Rabin Boulevard 21, 1834111, Afula, Israel.,Clalit Health Services, Northern Region, Nof Hagalil, Israel.,Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
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Aguado A, Moratalla-Navarro F, López-Simarro F, Moreno V. MorbiNet: multimorbidity networks in adult general population. Analysis of type 2 diabetes mellitus comorbidity. Sci Rep 2020; 10:2416. [PMID: 32051506 PMCID: PMC7016191 DOI: 10.1038/s41598-020-59336-1] [Citation(s) in RCA: 38] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 01/10/2020] [Indexed: 01/08/2023] Open
Abstract
Multimorbidity has great impact on health care. We constructed multimorbidity networks in the general population, extracted subnets focused on common chronic conditions and analysed type 2 diabetes mellitus (T2DM) comorbidity network. We used electronic records from 3,135,948 adult people in Catalonia, Spain (539,909 with T2DM), with at least 2 coexistent chronic conditions within the study period (2006-2017). We constructed networks from odds-ratio estimates adjusted by age and sex and considered connections with OR > 1.2 and p-value < 1e-5. Directed networks and trajectories were derived from temporal associations. Interactive networks are freely available in a website with the option to customize characteristics and subnets. The more connected conditions in T2DM undirected network were: complicated hypertension and atherosclerosis/peripheral vascular disease (degree: 32), cholecystitis/cholelithiasis, retinopathy and peripheral neuritis/neuropathy (degree: 31). T2DM has moderate number of connections and centrality but is associated with conditions with high scores in the multimorbidity network (neuropathy, anaemia and digestive diseases), and severe conditions with poor prognosis. The strongest associations from T2DM directed networks were to retinopathy (OR: 23.8), glomerulonephritis/nephrosis (OR: 3.4), peripheral neuritis/neuropathy (OR: 2.7) and pancreas cancer (OR: 2.4). Temporal associations showed the relevance of retinopathy in the progression to complicated hypertension, cerebrovascular disease, ischemic heart disease and organ failure.
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Affiliation(s)
- Alba Aguado
- CAP Sagrada Familia. Consorci Sanitari Integral, Barcelona, Spain.
| | - Ferran Moratalla-Navarro
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Flora López-Simarro
- ABS Urban Martorell, Catalan Institute of Health, Martorell, Barcelona, Spain
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), L'Hospitalet de Llobregat, Barcelona, Spain.
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain.
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain.
- Department of Clinical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain.
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Arreskov AB, Olsen MÅ, Pouplier SS, Siersma V, Andersen CL, Friis S, de Fine Olivarius N. The impact of cancer on diabetes outcomes. BMC Endocr Disord 2019; 19:60. [PMID: 31185995 PMCID: PMC6560822 DOI: 10.1186/s12902-019-0377-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Accepted: 04/30/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Survival from many cancer types is steadily increasing, and as a result, a growing number of cancer patients will live with other chronic diseases, of which diabetes is one of the most prevalent. This study aims to describe the impact of cancer on health outcomes in patients with type 2 diabetes and to compare the effectiveness of a multifactorial intervention in diabetes patients with and without cancer. METHODS The randomized controlled trial Diabetes Care in General Practice (DCGP) included 1381 patients newly diagnosed with type 2 diabetes. Patients were randomized to either six years of structured personal diabetes care or routine care. In a post hoc analysis, we followed patients for 19 years in Danish national registries for the occurrence of diabetes-related outcomes. We used Cox regression models to estimate hazard ratios for outcomes. RESULTS At diagnosis 48 patients had cancer, and 243 patients were diagnosed with cancer during follow up. Patients with diabetes and cancer had excess all-cause mortality (HR 3.33; 95%CI 2.72-4.06), as well as an increased incidence of myocardial infarction (HR 1.76; 95%CI 1.29-2.39) and any diabetes-related outcome (HR 1.36; 95%CI 1.07-1.71). The intervention reduced the risk of both these endpoints in patients without cancer. Furthermore, there was no statistically significant difference in the effectiveness of the intervention among patients with and without cancer. CONCLUSIONS Diabetes patients with cancer had an increased risk of myocardial infarction and any diabetes-related outcome. The observed positive effect of structured personal diabetes care on clinical outcomes did not differ between patients with and without cancer. Attention to and prevention of diabetes complications in patients with both type 2 diabetes and cancer is warranted. TRIAL REGISTRATION ClinicalTrials.gov NCT01074762 (February 24, 2010).
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Affiliation(s)
- Anne Beiter Arreskov
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
| | - Maria Å. Olsen
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
| | - Sandra Sinius Pouplier
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
| | - Volkert Siersma
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
| | - Christen L. Andersen
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
| | - Søren Friis
- Danish Cancer Society Research Center, Danish Cancer Society, Copenhagen, Denmark
| | - Niels de Fine Olivarius
- The Research Unit for General Practice and Section of General Practice, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, P.O. Box 2099, DK-1014 Copenhagen K, Denmark
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