| 2019 |
Diagnostic tests, drug prescriptions, and follow-up patterns after incident heart failure: A cohort study of 93,000 UK patients
10.1371/journal.pmed.1002805
Authors: N. Conrad, A. Judge, D. Canoy, J. Tran, J. O\textquoterightDonnell, M. Nazarzadeh, G. Salimi-Khorshidi, F. Hobbs, J. Cleland, J. McMurray, K. Rahimi |
| 2015 |
Diagnostic intervals and its association with breast, prostate, lung and colorectal cancer survival in England: historical cohort study using the Clinical Practice Research Datalink
10.1371/journal.pone.0126608
Authors: M. Redaniel, R. Martin, M. Ridd, J. Wade, M. Jeffreys |
| 2014 |
Diagnosis of liver cirrhosis in England, a cohort study, 1998-2009: a comparison with cancer
10.1038/ajg.2013.405
Authors: S. Ratib, J. West, C. Crooks, K. Fleming |
| 2016 |
Diagnosis of acute kidney injury and its association with in-hospital mortality in patients with infective exacerbations of bronchiectasis: cohort study from a UK nationwide database
10.1186/s12890-016-0177-5
Authors: M. Iwagami, K. Mansfield, J. Quint, D. Nitsch, L. Tomlinson |
| 2015 |
Diagnosis and treatment of chlamydia and gonorrhoea in general practice in England 2000-2011: a population-based study using data from the UK Clinical Practice Research Datalink
10.1136/bmjopen-2015-007776
Authors: S. Wetten, H. Mohammed, M. Yung, C. Mercer, J. Cassell, G. Hughes |
| 2001 |
Diagnosis and initial management of stroke and transient ischemic attack across UK health regions from 1992 to 1996: experience of a national primary care database
Authors: R. Gibbs, R. Newson, R. Lawrenson, R. Greenhalgh, A. Davies |
| 2022 |
Diagnoses after newly recorded abdominal pain in primary care: observational cohort study
10.3399/bjgp.2021.0709
Authors: S. Price, N. Gibson, W. Hamilton, J. Bostock, E. Shephard |
| 2017 |
Diabetes, use of metformin, and the risk of meningioma
10.1371/journal.pone.0181089
Authors: C. Seliger, C. Meier, C. Becker, S. Jick, M. Proescholdt, U. Bogdahn, P. Hau, M. Leitzmann |
| 2016 |
Diabetes, use of antidiabetic drugs, and the risk of glioma
10.1093/neuonc/nov100
Authors: C. Seliger, C. Ricci, C. Meier, M. Bodmer, S. Jick, U. Bogdahn, P. Hau, M. Leitzmann |
| 2019 |
Diabetes, Metformin, and Cancer Risk in Myotonic Dystrophy Type I
10.1002/ijc.32801
Authors: R. Alsaggaf, R. Pfeiffer, Y. Wang, D. St George, M. Zhan, K. Wagner, S. Amr, M. Greene, S. Gadalla |
| 2011 |
Diabetes mellitus and the risk of cholecystectomy
10.1016/j.dld.2011.04.014
Authors: M. Bodmer, Y. Brauchli, S. Jick, C. Meier |
| 2006 |
Diabetes mellitus and antipsychotic treatment in the United Kingdom
10.1016/j.euroneuro.2005.11.002
Authors: C. Carlson, K. Hornbuckle, F. DeLisle, L. Kryzhanovskaya, A. Breier, P. Cavazzoni |
| 2008 |
Diabetes in patients with idiopathic Parkinson\textquoterights disease
10.2337/dc08-0479
Authors: C. Becker, G. Brobert, S. Johansson, S. Jick, C. Meier |
| 2022 |
Diabetes and Obesity in Down Syndrome Across the Lifespan: A Retrospective Cohort Study Using U.K. Electronic Health Records
10.2337/dc22-0482
Authors: A. Aslam, R. Baksh, S. Pape, A. Strydom, M. Gulliford, L. Chan |
| 2015 |
Development of processes allowing near real-time refinement and validation of triage tools during the early stage of an outbreak in readiness for surge: the FLU-CATs Study
10.3310/hta19890
Authors: S. Venkatesan, P. Myles, G. McCann, A. Kousoulis, M. Hashmi, R. Belatri, E. Boyle, A. Barcroft, T. van Staa, J. Kirkham, J. Van Tam, T. Williams, M. Semple |
| 2014 |
Development of predictive genetic tests for improving the safety of new medicines: the utilization of routinely collected electronic health records
10.1016/j.drudis.2013.11.003
Authors: K. Wing, I. Douglas, K. Bhaskaran, O. Klungel, R. Reynolds, M. Pirmohamed, L. Smeeth, T. van Staa |
| 2023 |
Development of an Asthma Exacerbation Risk Prediction Model for Conversational Use by Adults in England
10.2147/por.s424098
Authors: C. Kallis, R. Calvo, B. Schuller, J. Quint |
| 2022 |
Development of a treatment selection algorithm for SGLT2 and DPP-4 inhibitor therapies in people with type 2 diabetes: a retrospective cohort study
10.1016/s2589-7500(22)00174-1
Authors: J. Dennis, K. Young, A. McGovern, B. Mateen, S. Vollmer, M. Simpson, W. Henley, R. Holman, N. Sattar, E. Pearson, A. Hattersley, A. Jones, B. Shields |
| 2020 |
Development of a structured clinical pharmacology review for specialist support for management of complex polypharmacy in primary care
10.1111/bcp.14243
Authors: C. Threapleton, J. Kimpton, I. Carey, S. DeWilde, D. Cook, T. Harris, E. Baker |
| 2016 |
Development and Validation of the RxDx-Dementia Risk Index to Predict Dementia in Patients with Type 2 Diabetes and Hypertension
10.3233/jad-150466
Authors: H. Mehta, V. Mehta, C. Tsai, H. Chen, R. Aparasu, M. Johnson |
| 2020 |
Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study
10.1136/bmjdrc-2019-000962
Authors: S. Zghebi, M. Mamas, D. Ashcroft, C. Salisbury, C. Mallen, C. Chew-Graham, D. Reeves, H. van Marwijk, N. Qureshi, S. Weng, T. Holt, I. Buchan, N. Peek, S. Giles, M. Rutter, E. Kontopantelis |
| 2020 |
Development and validation of the Cambridge Multimorbidity Score
10.1503/cmaj.190757
Authors: R. Payne, S. Mendonca, M. Elliott, C. Saunders, D. Edwards, M. Marshall, M. Roland |
| 2016 |
Development and validation of risk prediction model for venous thromboembolism in postpartum women: multinational cohort study
10.1136/bmj.i6253
Authors: A. Sultan, J. West, M. Grainge, R. Riley, L. Tata, O. Stephansson, K. Fleming, C. Nelson-Piercy, J. Ludvigsson |
| 2015 |
Development and validation of risk prediction equations to estimate future risk of heart failure in patients with diabetes: a prospective cohort study
10.1136/bmjopen-2015-008503
Authors: J. Hippisley-Cox, C. Coupland |
| 2015 |
Development and validation of risk prediction equations to estimate future risk of blindness and lower limb amputation in patients with diabetes: cohort study
10.1136/bmj.h5441
Authors: J. Hippisley-Cox, C. Coupland |
| 2018 |
Development and validation of prediction models to estimate risk of primary total hip and knee replacements using data from the UK: two prospective open cohorts using the UK Clinical Practice Research Datalink
10.1136/annrheumdis-2018-213894
Authors: D. Yu, K. Jordan, K. Snell, R. Riley, J. Bedson, J. Edwards, C. Mallen, V. Tan, V. Ukachukwu, D. Prieto-Alhambra, C. Walker, G. Peat |
| 2021 |
Development and validation of a prognostic model for leflunomide discontinuation with abnormal blood-tests during long-term treatment: cohort study using data from Clinical Practice Research Datalink Gold and Aurum
10.1093/rheumatology/keab790
Authors: G. Nakafero, M. Grainge, T. Card, M. Taal, G. Aithal, W. Zhang, M. Doherty, C. Fox, C. Mallen, A. Abhishek |
| 2021 |
Development and Validation of a Primary Care Electronic Health Record Phenotype to Study Migration and Health in the UK
10.3390/ijerph182413304
Authors: N. Pathak, C. Zhang, Y. Boukari, R. Burns, R. Mathur, A. Gonzalez-Izquierdo, S. Denaxas, P. Sonnenberg, A. Hayward, R. Aldridge |
| 2019 |
Development and validation of a prediction model to estimate the risk of liver cirrhosis in primary care patients with abnormal liver blood test results: protocol for an electronic health record study in Clinical Practice Research Datalink
10.1186/s41512-019-0056-7
Authors: S. Harmala, A. O\textquoterightBrien, C. Parisinos, K. Direk, L. Shallcross, A. Hayward |
| 2023 |
Development and validation of a novel risk prediction algorithm to estimate 10-year risk of oesophageal cancer in primary care: prospective cohort study and evaluation of performance against two other risk prediction models
10.1016/j.lanepe.2023.100700
Authors: J. Hippisley-Cox, W. Mei, R. Fitzgerald, C. Coupland |
| 2020 |
Development and validation of a multivariable prediction model for infection-related complications in patients with common infections in UK primary care and the extent of risk-based prescribing of antibiotics
10.1186/s12916-020-01581-2
Authors: C. Mistry, V. Palin, Y. Li, G. Martin, D. Jenkins, W. Welfare, D. Ashcroft, T. Van Staa |
| 2020 |
Development and Validation of a Method to Estimate COPD Severity in Multiple Datasets: A Retrospective Study
10.1007/s41030-020-00139-0
Authors: J. Quint, C. O\textquoterightLeary, A. Venerus, U. Holmgren, P. Varghese, C. Cabrera |
| 2020 |
Development and Validation of a Clinical Prediction Tool for Seasonal Influenza Vaccination in England
10.1001/jamanetworkopen.2020.7743
Authors: M. Loiacono, N. Mitsakakis, J. Kwong, G. Gomez, A. Chit, P. Grootendorst |
| 2022 |
Development and external validation of a risk prediction model for falls in patients with an indication for antihypertensive treatment: retrospective cohort study
10.1136/bmj-2022-070918
Authors: L. Archer, C. Koshiaris, S. Lay-Flurrie, K. Snell, R. Riley, R. Stevens, A. Banerjee, J. Usher-Smith, A. Clegg, R. Payne, F. Hobbs, R. McManus, J. Sheppard |
| 2022 |
Development and external validation of a clinical prediction model to aid coeliac disease diagnosis in primary care: An observational study
10.1016/j.eclinm.2022.101376
Authors: M. Elwenspoek, R. O'Donnell, J. Jackson, H. Everitt, P. Gillett, A. Hay, H. Jones, G. Robins, J. Watson, S. Mallett, P. Whiting |
| 2023 |
Developing prediction models to estimate the risk of two survival outcomes both occurring: A comparison of techniques
10.1002/sim.9771
Authors: A. Pate, M. Sperrin, R. Riley, J. Sergeant, T. Van Staa, N. Peek, M. Mamas, G. Lip, M. O'Flaherty, I. Buchan, G. Martin |
| 2017 |
Developing and validating a cardiovascular risk score for patients in the community with prior cardiovascular disease
10.1136/heartjnl-2016-310668
Authors: K. Poppe, R. Doughty, S. Wells, D. Gentles, H. Hemingway, R. Jackson, A. Kerr |
| 2011 |
Developing and testing search strategies to identify patients with active seasonal allergic rhinitis in general practice
10.4104/pcrj.2010.00086
Authors: V. Hammersley, R. Flint, H. Pinnock, A. Sheikh |
| 2022 |
Developing and internally validating a prognostic model (P Risk) to improve the prediction of psychosis in a primary care population using electronic health records: The MAPPED study
10.1016/j.schres.2022.06.031
Authors: S. Sullivan, D. Kounali, R. Morris, D. Kessler, W. Hamilton, G. Lewis, P. Lilford, I. Nazareth |
| 2004 |
Developing a large electronic primary care database (Doctors\textquoteright Independent Network) for research
10.1016/j.ijmedinf.2004.02.002
Authors: I. Carey, D. Cook, S. De Wilde, S. Bremner, N. Richards, S. Caine, D. Strachan, S. Hilton |
| 2008 |
Determining the predictive value of Read/OXMIS codes to identify incident acute myocardial infarction in the General Practice Research Database
10.1002/pds.1672
Authors: T. Hammad, M. McAdams, A. Feight, S. Iyasu, G. Dal Pan |
| 2013 |
Determining the predictive value of Read codes to identify congenital cardiac malformations in the UK Clinical Practice Research Datalink
10.1002/pds.3511
Authors: T. Hammad, A. Margulis, Y. Ding, M. Strazzeri, H. Epperly |
| 2009 |
Determining the date of diagnosis\textendashis it a simple matter? The impact of different approaches to dating diagnosis on estimates of delayed care for ovarian cancer in UK primary care
10.1186/1471-2288-9-42
Authors: A. Tate, A. Martin, T. Murray-Thomas, S. Anderson, J. Cassell |
| 2021 |
Determining propensity for sub-optimal low-density lipoprotein cholesterol response to statins and future risk of cardiovascular disease
10.1371/journal.pone.0260839
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| 2023 |
Determining prescriptions in electronic healthcare record data: methods for development of standardized, reproducible drug codelists
10.1093/jamiaopen/ooad078
Authors: E. Graul, P. Stone, G. Massen, S. Hatam, A. Adamson, S. Denaxas, N. Peters, J. Quint |
| 2010 |
Determining patient characteristics for decision analysis support systems using anonymized electronic patient records
10.1177/1460458209353559
Authors: M. Frisher, D. Short, J. Bashford |
| 2023 |
Determining cardiovascular risk in patients with unattributed chest pain in UK primary care: an electronic health record study
10.1093/eurjpc/zwad055
Authors: K. Jordan, T. Rathod-Mistry, D. van der Windt, J. Bailey, Y. Chen, L. Clarson, S. Denaxas, R. Hayward, H. Hemingway, T. Kyriacou, M. Mamas |
| 2020 |
Determination of healthcare resource and cost implications of using alternative sodium valproate formulations in the treatment of epilepsy in children in England: a retrospective database review
10.1016/j.ejpb.2020.12.007
Authors: H. Batchelor |
| 2019 |
Determinants of shingles vaccine acceptance in the United Kingdom
10.1371/journal.pone.0220230
Authors: H. Bricout, L. Torcel-Pagnon, C. Lecomte, M. Almas, I. Matthews, X. Lu, A. Wheelock, N. Sevdalis |
| 2015 |
Determinants of saxagliptin use among patients with type 2 diabetes mellitus treated with oral anti-diabetic drugs
10.1186/s40360-015-0007-z
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