Publications

This is a list of publications by members of the Crystallise team.

Health Economics and Outcomes Research

  • Popat S., Mellemgaard A., Fahrbach K., Martin A., Rizzo M., Kaiser R., Griebsch I., Reck M. Nintedanib plus docetaxel as second-line therapy in patients with non-small-cell lung cancer: a network meta-analysis. Future Oncology 2014; 11(3): doi.org/10.2217/fon.14.290
  • Martin A., Abogunrin S., Kurth H., Dinet J. Epidemiological, humanistic, and economic burden of illness of lower limb spasticity in adults: a systematic review. Neuropsychiatric Disease and Treatment 2014; 10:111-122. doi.org/10.2147/NDT.S53913
  • Martin A., Abogunrin S., Kurth H., Dinet J. The Epidemiological Burden of Lower Limb Spasticity in Adults: A Systematic Review. Presented at the 46th Annual Society for Epidemiologic Research Meeting Boston, Massachusetts, June 18–21, 2013.
  • Martin A. Economic evaluations in infectious disease: which infections, what settings and what type of economic evaluations were reported in papers published in 2014? Value Health 2015, November; 18(7): A589.
  • Martin A. Economic burden in studies published in 2014: what type of mental health disorders and outcomes have been most commonly assessed? Value Health 2015, November; 18(7): A411-412.
  • Martin A. Humanistic burden in dementia: which tools were most commonly used in studies published in Pubmed in 2014? Value Health 2015, November; 18(7): A412-413.
  • Martin A. Economic modelling studies published in 2014: which disease areas have been the main focus of clinical research? Value Health 2015, November; 18(7): A530.
  • Martin A. Economic burden outcomes in studies published in 2014: which disease areas have been the main focus of clinical research? Value Health 2015, November; 18(7): A532-533.
  • Martin A. Economic burdens in studies published in 2014: what type of gastrointestinal disorders, interventions and outcomes have been most commonly assessed? Value Health 2015,November; 18(7): A624-625.
  • Martin A. Patient-reported outcomes in studies published in 2014: which tools have been most commonly used in studies of musculoskeletal disorders? Value Health 2015, November; 18(7): A653.
  • Martin A. Patient-reported outcomes in studies published in 2014: which tools have been most commonly used in studies of respiratory disorders? Value Health 2015, November; 18(7): A504.
  • Martin A. Patient-reported outcomes in studies published in 2014: which disease areas have been the main focus of clinical research? Value Health 2015, November; 18(7): A742.
  • Martin A. PRO instruments used in studies published since 2005: which populations and diseases have had the most tools developed? Value Health 2016, November; 19(7): A486.
  • Martin A. PRO instruments for mental disorders used in studies published since 2005: which diseases have had the most tools developed? Value Health 2016, November; 19(7): A527.
  • Martin A. PRO instruments for musculoskeletal disorders used in studies published since 2005: which diseases have had the most tools developed? Value Health 2016, November; 19(7): A543.
  • Martin A. Evidence Map of indirect costs in psoriasis and psoriatic arthritis since 1960. Value Health 2017, October-November; 20(9): A804-805.
  • Martin A. PRO instruments used in studies of skin cancer since 1960. Value Health 2017, October-November; 20(9): A452-453.
  • Martin A. Evidence Map of cost-benefit, cost-effectiveness and cost-utility models in dementia published since 1960. Value Health 2017, October-November; 20(9): A724-725.
  • Martin A. Evidence Map of costs studies in cystic fibrosis since 2000. Value Health 2017, October-November; 20(9): A643-644.
  • Martin A. PRO instruments used in studies of pulmonary hypertension since 1960. Value Health 2017, October-November; 20(9): A622.

Modelling Publications

  • Martin CJ. Communicating risk in the consultation: the development and validation of a model of survival using estimates of cardiovascular. Centre for Health Informatics and Medical Education, University College London; 2002.
  • Martin C, Vanderpump M, French J. Description and validation of a Markov model of survival for individuals free of cardiovascular disease that uses Framingham risk factors. BMC Med Inform Decis Mak. 2004 May 24;4(1):6.
  • Martin CJ, Taylor P, Potts HW. Construction of an odds model of coronary heart disease using published information: the Cardiovascular Health Improvement Model (CHIME). BMC Med Inform Decis Mak. 2008;8:49.
  • Martin C. Individualized Modelling of Mortality by Cause Based Upon Risk Factors [PhD]. [London]: University College London; 2013.
  • Martin C., Pichardo-Almarza C. Using a cause-of-death-based mortality model to identify the individuals who would benefit most from primary prevention with statins. Value Health 2013, November; 16(7): A517.
  • Martin C., Martin A. Mortality trends in cardiovascular disease: a new model to visualise the contribution of specific diseases, cohort effects and coding changes to overall mortality improvement. Value Health 2015, November; 18(7): A383. doi: 10.1016/j.jval.2015.09.1078.
  • Martin A., Martin C. Simpson’s paradox: why smoking reduces the risk of dying of cardiovascular disease. Value Health 2015, November; 18(7): A383. doi: 10.1016/j.jval.2015.09.1080.
  • Martin A., Martin C. When “Alive after 5 years” does not mean “cured”: international patterns in cancer 10- to 20-year relative survival rates. Value Health 2015 November; 18(7): A440.
  • Martin C., Martin A. Mortality trends in cancers: a new model to visualise the contribution of specific diseases, cohorts and coding changes to overall mortality improvement. Value Health 2015 November; 18(7): A441.
  • Martin A., Martin C. Modelling the likely impact of the obesity epidemic on mortality and cause of death in older adults. Value Health 2015 November; 18(7): A663.
  • Martin C., Springate C. Synthetic sample generation representing the English population using Spearman rank correlation and Chomsky decomposition. Value Health 2018, May; 21:S221.

Other

  • Martin A., Martin C., Martin PB., Martin PA., Green G., Eldridge S. “Inappropriate” attendance at an accident and emergency department by adults registered in local general practices: how is it related to their use of primary care? J Health Serv Res Policy. 2002 Jul;7(3):160–5.
  • Martin C., Martin A. Frequent Attenders to an Accident and Emergency Department. Ann Emerg Med. 2004;43(1):137–8.
  • Martin C., Perfect T., Mantle G. Non-attendance in primary care: the views of patients and practices on its causes, impact and solutions. Fam Pract. 2005 Dec;22(6):638–43.
  • Clift-Matthews V., Martin A., Onwude O., et al.  Systematic review of factors related to general and violent reoffending. In: Moore R. (Ed). A compendium of research and analysis on the Offender Assessment System (OASys) 2009–2013. National Offender Management Service, Ministry of Justice, 2015, London.
  • Munton T., Martin A., Lorenc T., et al. Understanding vulnerability and resilience in individuals to the influence of Al Qa’ida violent
    extremism. A Rapid Evidence Assessment to inform policy and practice in preventing violent extremism.  Home Office Occasional Paper 98, 2011, London.
  • O’Mara A., Jamal F., Lehmann A., Martin A., Cooper C. Improving outcomes for young people by spreading and deepening the impact of targeted youth support and development. The Centre for Excellence and Outcomes in Children and Young People’s Services (C4EO) 2011, London.
  • O’Mara A., Jamal F., Llewellyn A., Lehmann A., Martin A. The impact of parenting and family support strategies on children and young people’s outcomes. The Centre for Excellence and Outcomes in Children and Young People’s Services (C4EO), 2011, London.
  • Rizzo M., Martin A., Cliff-Matthews V., et al. Evidence review on the effectiveness and cost-effectiveness of interventions aimed at identifying people with tuberculosis and/or raising awareness of tuberculosis among hard-to-reach groups. Supporting evidence for National Institute for Health and Care Excellence 2012, Public Health Guidance 27: Identifying and managing tuberculosis among hard-to-reach groups.
  • Rizzo M., Martin A., Cliff-Matthews V., et al.  Evidence review on the effectiveness and cost-effectiveness of interventions aimed at managing tuberculosis in hard-to-reach groups. Supporting evidence for National Institute for Health and Care Excellence 2012, Public Health Guidance 27: Identifying and managing tuberculosis among hard-to-reach groups.
  • Rizzo M., Martin A., Jamal F., et al. Evidence review on the effectiveness and cost-effectiveness of service models or structures to manage tuberculosis in hard-to-reach groups. Supporting evidence for National Institute for Health and Care Excellence 2012, Public Health Guidance 27: Identifying and managing tuberculosis among hard-to-reach groups.
  • Matrix Evidence.  Spotlight on dementia care. A Health Foundation Improvement Report. The Health Foundation 2011, London.
  • Martin A., Rizzo M., Iheanacho I. Faulty connections: can criticisms of network meta-analysis in NICE submissions be avoided? Value Health 2013, November; 16(7): A608.
  • Abogunrin S., Martin A. Can the use of social media and mobile apps improve patient knowledge of disease and health outcomes? A systematic review. Value Health 2013, November; 16(7): A326.
  • Martin A., Lombard L. Disease becomes social. Health research conducted on, or using, web 2.0 media: a systematic review. Value Health 2013, November; 16(7): A479.
  • Chalkiadaki C., Martin A. Exploring the usefulness of social media and patient forums in identifying indirect costs of a disease. Value Health 2014, November; 17(7): A628.
  • Chalkiadaki C., Martin A. What matters to patients and their caregivers: using social media and patient forums to obtain valuable information from a patient and carer perspective. Value Health 2014, November; 17(7): A648-649.
  • Khankhel Z., Abogunrin S., Martin A. Legal and ethical implications of using data from social media websites. Value Health 2014, November; 17(7): A434.
  • Yang HK., Abogunrin S., Cox A., Khankhel Z., Martin A., Merinopoulou E. Methodological issues associated with the use of social media in outcomes research: case study of adult vaccination. Value Health 2014, May; 17(3): A282.
  • Challen R., Martin A., Martin C. Accuracy of text processing tokenisers for automated identification of diseases and interventions in abstracts of studies on humanistic and economic burden of disease. Value Health 2016, November; 19(7): A367.
  • Krohn J., Martin A., Martin C. Accuracy of natural language processing-based classifiers for automated identification of abstracts of studies on humanistic and economic burden of disease. Value Health 2016, November; 19(7): A355.