Clancy CM, Cronin K. Evidence-based decision making: global evidence, local decisions. Health Aff (Millwood). 2005;24:151–62.
Article
Google Scholar
Sniderman AD, Furberg CD. Why guideline-making requires reform. JAMA. 2009;301:429–31.
Article
CAS
PubMed
Google Scholar
Shaneyfelt TM, Centor RM. Reassessment of clinical practice guidelines: go gently into that good night. JAMA. 2009;301:868–9.
Article
CAS
PubMed
Google Scholar
Wilson M. Big data in health care decisions: where Are We Now and what does the future hold? Values Outcomes Spotlight. 2015;1:7–9.
Google Scholar
Isern D, Moreno A. Computer-based execution of clinical guidelines: a review. Int J Med Inform. 2008;77:787–808.
Article
PubMed
Google Scholar
Rawlins MD. NICE: moving onward. N Engl J Med. 2013;369:3–5.
Article
CAS
PubMed
Google Scholar
Zhang Z. Big data and clinical research: perspective from a clinician. J Thorac Dis. 2014;6:1659–64.
PubMed
PubMed Central
Google Scholar
Rawlins M. De Testimonio: on the evidence for decisions about the use of therapeutic interventions. Clin Med. 2008;8:579–88.
Article
Google Scholar
Schneeweiss S, Avorn J. A review of uses of health care utilization databases for epidemiologic research on therapeutics. J Clin Epidemiol. 2005;58:323–37.
Article
PubMed
Google Scholar
Garrison LP, Neumann PJ, Erickson P, et al. Using real-world data for coverage and payment decisions: the ISPOR Real-World Data Task Force report. Value Health. 2007;10:326–35.
Article
PubMed
Google Scholar
Wang W, Krishnan E. Big data and clinicians: a review on the state of the science. JMIR Med Inform. 2014;2:1–11.
Article
Google Scholar
Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309:1351–2.
Article
CAS
PubMed
Google Scholar
Roden DM, Pulley JM, Basford MA, et al. Development of a large-scale de-identified DNA biobank to enable personalized medicine. Clin Pharmacol Ther. 2008;84:362–9.
Article
CAS
PubMed
PubMed Central
Google Scholar
Cáceres SB. Electronic health records: beyond the digitization of medical files. Clinics (Sao Paulo). 2013;68:1077–8.
Article
Google Scholar
Herrett E, Gallagher AM, Bhaskaran K, et al. Data resource profile: clinical practice research datalink (CPRD). Int J Epidemiol. 2015;44:827–36.
Article
PubMed
PubMed Central
Google Scholar
Kousoulis AA, Rafi I, de Lusignan S. The CPRD and the RCGP: building on research success by enhancing benefits for patients and practices. Br J Gen Pract. 2015;65:54–5.
Article
PubMed
PubMed Central
Google Scholar
NICE. Clinical knowledge summaries. NICE. 2016. http://cks.nice.org.uk/#?char=A. Accessed 21 Mar 2016.
NICE. NICE Technology appraisal guidance. NICE. 2016. https://www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/nice-technology-appraisal-guidance. Accessed 21 Mar 2016
NICE. Types of guideline. NICE. 2016. www.nice.org.uk/about/what-we-do/our-programmes/nice-guidance/nice-guidelines/types-of-guideline. Accessed 21 Mar 2016.
Liberati A, Altman DG, Tetzlaff J, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6:e1000100.
Article
PubMed
PubMed Central
Google Scholar
Van Staa T-P, Cooper C, Brusse LS, et al. Inflammatory bowel disease and the risk of fracture. Gastroenterology. 2003;125:1591–7.
Article
PubMed
Google Scholar
Card T, West J, Hubbard R, et al. Hip fractures in patients with inflammatory bowel disease and their relationship to corticosteroid use: a population based cohort study. Gut. 2004;53:251–5.
Article
CAS
PubMed
PubMed Central
Google Scholar
West J, Logan RFA, Card TR, et al. Fracture risk in people with celiac disease: a population-based cohort study. Gastroenterology. 2003;125:429–36.
Article
PubMed
Google Scholar
Mikuls TR, Farrar JT, Bilker WB, et al. Gout epidemiology: results from the UK general practice research database, 1990–1999. Ann Rheum Dis. 2005;64:267–72.
Article
CAS
PubMed
PubMed Central
Google Scholar
Osborn DPJ, Levy G, Nazareth I, et al. Relative risk of cardiovascular and cancer mortality in people with severe mental illness from the united Kingdom’s general practice research database. Arch Gen Psychiatry. 2007;64:242–9.
Article
PubMed
Google Scholar
Schneider-Lindner V, Delaney JA, Dial S, et al. Antimicrobial drugs and community-acquired methicillin-resistant staphylococcus aureus, United Kingdom. Emerg Infect Dis. 2007;13:994–1000.
Article
CAS
PubMed
PubMed Central
Google Scholar
Gunnell D, Irvine D, Wise L, et al. Varenicline and suicidal behaviour: a cohort study based on data from the general practice research database. BMJ. 2009;339:b3805.
Article
CAS
PubMed
PubMed Central
Google Scholar
Vasilakis C, Jick H, del Mar Melero-Montes M. Risk of idiopathic venous thromboembolism in users of progestagens alone. Lancet. 1999;354:1610–1.
Article
CAS
PubMed
Google Scholar
Smitten AL, Choi HK, Hochberg MC, et al. The risk of herpes zoster in patients with rheumatoid arthritis in the United States and the United Kingdom. Arthritis Rheumatol. 2007;57:1431–8.
Article
Google Scholar
De Giuli F, Khaw K-T, Cowie MR, et al. Incidence and outcome of persons with a clinical diagnosis of heart failure in a general practice population of 696,884 in the United Kingdom. Eur J Heart Fail. 2005;7:295–302.
Article
PubMed
Google Scholar
Mehta NN, Azfar RS, Shin DB, et al. Patients with severe psoriasis are at increased risk of cardiovascular mortality: cohort study using the general practice research database. Eur Heart J. 2010;31:1000–6.
Article
PubMed
Google Scholar
Abuabara K, Azfar RS, Shin DB, et al. Cause-specific mortality in patients with severe psoriasis: a population-based cohort study in the U.K. Br J Dermatol. 2010;163:586–92.
Article
CAS
PubMed
PubMed Central
Google Scholar
Mehta NN, Yu Y, Pinnelas R, et al. Attributable risk estimate of severe psoriasis on major cardiovascular events. Am J Med. 2011;124:775.e1–6.
Article
PubMed
Google Scholar
Petersen I, Johnson AM, Islam A, et al. Protective effect of antibiotics against serious complications of common respiratory tract infections: retrospective cohort study with the UK general practice research database. BMJ. 2007;335:982.
Article
CAS
PubMed
PubMed Central
Google Scholar
Dunn N, Lane D, Everitt H, et al. Use of antibiotics for sore throat and incidence of quinsy. Br J Gen Pract. 2007;57:45–9.
PubMed
PubMed Central
Google Scholar
Majeed A, Moser K, Carroll K. Trends in the prevalence and management of atrial fibrillation in general practice in England and Wales, 1994–1998: analysis of data from the general practice research database. Heart. 2001;86:284–8.
Article
CAS
PubMed
PubMed Central
Google Scholar
Gallagher AM, Rietbrock S, Plumb J, et al. Initiation and persistence of warfarin or aspirin in patients with chronic atrial fibrillation in general practice: do the appropriate patients receive stroke prophylaxis? J Thromb Haemost. 2008;6:1500–6.
Article
CAS
PubMed
Google Scholar
Cornish R, Macleod J, Strang J, et al. Risk of death during and after opiate substitution treatment in primary care: prospective observational study in UK general practice research database. BMJ. 2010;341:c5475.
Article
PubMed
PubMed Central
Google Scholar
Van Staa T-P, Geusens P, Pols HAP, et al. A simple score for estimating the long-term risk of fracture in patients using oral glucocorticoids. QJM. 2005;98:191–8.
Article
PubMed
Google Scholar
Van Staa TP, Leufkens HG, Abenhaim L, et al. Oral corticosteroids and fracture risk: relationship to daily and cumulative doses. Rheumatology (Oxford). 2000;39:1383–9.
Article
Google Scholar
Lawrenson RA, Logie JW. Antibiotic failure in the treatment of urinary tract infections in young women. J Antimicrob Chemother. 2001;48:895–901.
Article
CAS
PubMed
Google Scholar
De Vries F, Setakis E, Zhang B, et al. Long-acting {beta}2-agonists in adult asthma and the pattern of risk of death and severe asthma outcomes: a study using the GPRD. Eur Respir J. 2010;36:494–502.
Article
PubMed
Google Scholar
Parkin L, Sharples K, Hernandez RK, et al. Risk of venous thromboembolism in users of oral contraceptives containing drospirenone or levonorgestrel: nested case–control study based on UK general practice research database. BMJ. 2011;342:d2139.
Article
PubMed
PubMed Central
Google Scholar
Stowe J, Andrews N, Wise L, et al. Investigation of the temporal association of Guillain-barre syndrome with influenza vaccine and influenzalike illness using the United Kingdom general practice research database. Am J Epidemiol. 2009;169:382–8.
Article
PubMed
Google Scholar
Rowlands S, Devalia H, Smith C, et al. Otitis externa in UK general practice: a survey using the UK general practice research database. Br J Gen Pract. 2001;51:533–8.
CAS
PubMed
PubMed Central
Google Scholar
Byford S, Barrett B, Despiégel N, et al. Impact of treatment success on health service use and cost in depression: longitudinal database analysis. Pharmacoeconomics. 2011;29:157–70.
Article
PubMed
Google Scholar
Mackenzie IS, Morant SV, Bloomfield GA, et al. Incidence and prevalence of multiple sclerosis in the UK 1990–2010: a descriptive study in the general practice research database. J Neurol Neurosurg Psychiatry. 2014;85:76–84.
Article
CAS
PubMed
Google Scholar
Mangtani P, Cumberland P, Hodgson CR, et al. A cohort study of the effectiveness of influenza vaccine in older people, performed using the United Kingdom general practice research database. J Infect Dis. 2004;190:1–10.
Article
PubMed
Google Scholar
Jones R, Latinovic R, Charlton J, et al. Alarm symptoms in early diagnosis of cancer in primary care: cohort study using general practice research database. BMJ. 2007;334:1040.
Article
PubMed
PubMed Central
Google Scholar
Stapley S, Peters TJ, Neal RD, et al. The risk of pancreatic cancer in symptomatic patients in primary care: a large case–control study using electronic records. Br J Cancer. 2012;106:1940–4.
Article
CAS
PubMed
PubMed Central
Google Scholar
Stapley S, Peters TJ, Neal RD, et al. The risk of oesophago-gastric cancer in symptomatic patients in primary care: a large case–control study using electronic records. Br J Cancer. 2013;108:25–31.
Article
CAS
PubMed
Google Scholar
Walker S, Hyde C, Hamilton W. Risk of breast cancer in symptomatic women in primary care: a case–control study using electronic records. Br J Gen Pract. 2014;64:e788–93.
Article
PubMed
PubMed Central
Google Scholar
Walker S, Hyde C, Hamilton W. Risk of uterine cancer in symptomatic women in primary care: case–control study using electronic records. Br J Gen Pract. 2013;63:e643–8.
Article
PubMed
PubMed Central
Google Scholar
Shephard EA, Stapley S, Neal RD, et al. Clinical features of bladder cancer in primary care. Br J Gen Pract. 2012;62:e598–604.
Article
PubMed
PubMed Central
Google Scholar
Shephard E, Neal R, Rose P, et al. Clinical features of kidney cancer in primary care: a case–control study using primary care records. Br J Gen Pract. 2013;63:e250–5.
Article
PubMed
PubMed Central
Google Scholar
Shephard EA, Neal RD, Rose P, et al. Quantifying the risk of multiple myeloma from symptoms reported in primary care patients: a large case–control study using electronic records. Br J Gen Pract. 2015;65:e106–13.
Article
PubMed
PubMed Central
Google Scholar
Price SJ, Shephard EA, Stapley SA, et al. Non-visible versus visible haematuria and bladder cancer risk: a study of electronic records in primary care. Br J Gen Pract. 2014;64:e584–9.
Article
PubMed
PubMed Central
Google Scholar
Dommett RM, Redaniel MT, Stevens MCG, et al. Features of childhood cancer in primary care: a population-based nested case–control study. Br J Cancer. 2012;106:982–7.
Article
CAS
PubMed
PubMed Central
Google Scholar
Dommett RM, Redaniel T, Stevens MCG, et al. Risk of childhood cancer with symptoms in primary care: a population-based case–control study. Br J Gen Pract. 2013;63:e22–9.
Article
PubMed
Google Scholar
Dommett RM, Redaniel MT, Stevens MCG, et al. Features of cancer in teenagers and young adults in primary care: a population-based nested case–control study. Br J Cancer. 2013;108:2329–33.
Article
CAS
PubMed
PubMed Central
Google Scholar
Kernick D, Stapley S, Goadsby PJ, et al. What happens to new-onset headache presented to primary care? A case-cohort study using electronic primary care records. Cephalalgia. 2008;28:1188–95.
Article
CAS
PubMed
Google Scholar
Kernick D, Stapley S, Campbell J, et al. What happens to new-onset headache in children that present to primary care? A case-cohort study using electronic primary care records. Cephalalgia. 2009;29:1311–6.
Article
CAS
PubMed
Google Scholar
Hamilton W, Kernick D. Clinical features of primary brain tumours: a case–control study using electronic primary care records. Br J Gen Pract. 2007;57:695–9.
PubMed
PubMed Central
Google Scholar
Rawlins M. NICE times: a valedictory dispatch. Lancet. 2013;381:2225–7.
Article
PubMed
Google Scholar
Tricoci P, Allen JM, Kramer JM, et al. Scientific evidence underlying the ACC/AHA clinical practice guidelines. JAMA. 2009;301:831–41.
Article
CAS
PubMed
Google Scholar
Raghupathi W, Raghupathi V. Big data analytics in healthcare: promise and potential. Heal Inf Sci Syst. 2014;2:1–10.
Article
Google Scholar
Howard L, Kirkwood G, Leese M. Risk of hip fracture in patients with a history of schizophrenia. Br J Psychiatry. 2007;190:129–34.
Article
PubMed
Google Scholar
Singh H, Hirani K, Kadiyala H, et al. Characteristics and predictors of missed opportunities in lung cancer diagnosis: an electronic health record-based study. J Clin Oncol. 2010;28:3307–15.
Article
PubMed
PubMed Central
Google Scholar
Murphy DR, Laxmisan A, Reis BA, et al. Electronic health record-based triggers to detect potential delays in cancer diagnosis. BMJ Qual Saf. 2014;23:8–16.
Article
PubMed
Google Scholar
Bradley CJ, Penberthy L, Devers KJ, et al. Health services research and data linkages: issues, methods, and directions for the future. Health Serv Res. 2010;45:1468–88.
Article
PubMed
PubMed Central
Google Scholar
Denaxas SC, George J, Herrett E, et al. Data resource profile: cardiovascular disease research using linked bespoke studies and electronic health records (CALIBER). Int J Epidemiol. 2012;41:1625–38.
Article
PubMed
PubMed Central
Google Scholar
Asaria M, Grasic K, Walker S. Using linked electronic health records to estimate healthcare costs: Key challenges and opportunities. Pharmacoeconomics. 2016;34:155–60.
Article
PubMed
Google Scholar
Fleurence RL, Naci H, Jansen JP. The critical role of observational evidence in comparative effectiveness research. Health Aff. 2010;29:1826–33.
Article
Google Scholar
Health & Social Care Information Centre. A guide to confidentiality in health and social care. Health & Social Care Information Centre. 2013. www.hscic.gov.uk/media/12822/Guide-to-confidentiality-in-health-and-social-care/pdf/HSCIC-guide-to-confidentiality.pdf. Accessed 18 Oct 2015.
Moher D, Liberati A, Tetzlaff J, et al. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535.
Article
PubMed
PubMed Central
Google Scholar
Tunis AS, McInnes MDF, Hanna R, et al. Association of study quality with completeness of reporting: have completeness of reporting and quality of systematic reviews and meta-analyses in major radiology journals changed since publication of the PRISMA statement? Radiology. 2013;269:413–26.
Article
PubMed
Google Scholar