Statistical models for the control phase of clinical monitoring

Statistical Methods in Medical Research

Volumn 19, Issue 4, 2010, Pages 394-414

  Stevens, Richard J ^a,b   Oke, Jason ^a,b   Perera, Rafael ^a,b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b University of Manchester   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CD4 ANTIGEN; HEMOGLOBIN A1C; PERINDOPRIL; PRAVASTATIN;

CALCULATION; CARDIOVASCULAR DISEASE; CHRONIC DISEASE; CLINICAL TRIAL; COST BENEFIT ANALYSIS; DIABETES MELLITUS; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; HYPERTENSION; ISCHEMIA; PATIENT MONITORING; REVIEW; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STROKE;

CARDIOVASCULAR DISEASES; CD4 LYMPHOCYTE COUNT; CHRONIC DISEASE; DIABETES MELLITUS; HIV INFECTIONS; HUMANS; HYPERTENSION; MODELS, STATISTICAL; MONITORING, PHYSIOLOGIC;

EID: 77955529366     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280209359886     Document Type: Review

References (35)

1. World Health Organization. The world health report 2002 - Reducing risks, promoting healthy life, 2002. Available at: http://www.who.int/whr/2002/en/ (accessed April, 2009 ).
2. The Department of Health (UK). Chronic disease management: A compendium of information. The Department of Health (UK), London ; 2004.
3. The Department of Health (UK). Improving chronic disease management department of health. The Department of Health (UK), London ; Gateway reference: 2843, 2004.
4. Glasziou P., Irwig L., Mant D. Monitoring in chronic disease: a rational approach. British Medical Journal 2005 ; 330 (7492). 644-648.
5. Coster S., Gulliford MC, Seed PT, Powrie JK, Swaminathan R. Monitoring blood glucose control in diabetes mellitus: a systematic review. Health Technology Assessment 2000 ; 4 (12). 1-93.
6. Coster S., Gulliford MC, Seed PT, Powrie JK, Swaminathan R. Self-monitoring in Type 2 diabetes mellitus: a meta-analysis. Diabetic Medicine 2000 ; 17: 755-761.
7. Farmer A., Neil A. Letter in response to ĝ€variations in glucose self-monitoring during oral hypoglycaemic therapy in primary care. Diabetes Medicine 2005 ; 22 (4). 511-512.
8. Walley T., Duggan AK, Haycox AR, Niziol CJ Treatment for newly diagnosed hypertension: patterns of prescribing and antihypertensive effectiveness in the UK. Journal of the Royal Society of Medicine 2003 ; 96 (11). 525-531.
9. Oden A., Fahlen M. Oral anticoagulation and risk of death: a medical record linkage study. British Medical Journal 2002 ; 325 (7372). 1073-1075.
10. Ferner RE, Coleman J., Pirmohamed M., Constable SA, Rouse A. The quality of information on monitoring for haematological adverse drug reactions. British Journal of Clinical Pharmacology 2005 ; 60 (4). 448-451.
11. Glasziou P., Irwig L., Deeks JJ When should a new test become the current reference standard? Annals of Internal Medicine 2008 ; 149 (11). 816-821.
12. Whiting PF, Sterne JAC, Westwood ME, et al. Graphical presentation of diagnostic information. BMC Medical Research Methodology 2008 ; 8 (20). 1-15.
13. Leeflang MMG, Bossuyt PMM, Irwig L. Diagnostic test accuracy may vary with prevalence: implications for evidence-based diagnosis. Journal of Clinical Epidemiology 2009 ; 62 (1). 5-12.
14. Thompson MJ, Ninis N., Perera R., et al. Clinical recognition of meningococcal disease in children and adolescents. Lancet 2006 ; 367 (9508). 397-403. (Pubitemid 43184259)
15. Heneghan C., Glasziou P., Thompson M., et al. Diagnostic strategies used in primary care. British Medical Journal (Clinical research ed) 2009 ; 338.
16. Bell KJL, Irwig L., Craig JC, Macaskill P. Use of randomised trials to decide when to monitor response to new treatment. British Medical Journal 2008 ; 336 (7640). 361-365.
17. Bell KJL, Hayen A., Macaskill P., Craig JC, Neal BC, Irwig L. Mixed models showed no need for initial response monitoring after starting antihypertensive therapy. Journal of Clinical Epidemiology 2009 ; 62: 650-659.
18. Morton V., Torgerson DJ Regression to the mean: treatment effect without the intervention. Journal of Evaluation in Clinical Practice 2005 ; 11 (1). 59-65.
19. Boggs PB, Wheeler D., Washburne WF, Hayati F. Peak expiratory flow rate control chart in asthma care: chart construction and use in asthma care. Annals of Allergy, Asthma and Immunology 1998 ; 81 (6). 552-562.
20. Introcaso G., Gesu G. Significance of consecutive international normalized ratio (INR) outcomes using statistical control rules in long-term anticoaguated patients. Optimitization of laboratory monitoring and interpretation of borderline measurements. Clinical Chemistry and Laboratory Medicine 2004 ; 42 (3). 294-299.
21. Alemi F., Sullivan T. Tutorial on risk adjusted X-bar charts: applications to measurement of diabetes control. Quality Management In Health Care 2001 ; 9 (3). 57-65.
22. Clarke R., Lewington S., Youngman L., Sherliker P., Peto R., Collins R. Underestimation of the importance of blood pressure and cholesterol for coronary heart disease mortality in old age. European Heart Journal 2002 ; 23 (4). 286-293.
23. Glasziou PP, Irwig L., Heritier S., Simes RJ, Tonkin A. Monitoring cholesterol levels: measurement error or true change ? Annals of Internal Medicine 2008 ; 148 (9). 656-661.
24. Keenan K., Hayen A., Neal BC, Irwig L. Long term monitoring in patients receiving treatment to lower blood pressure: analysis of data from placebo controlled randomised controlled trial. British Medical Journal 2009 ; 338 :b 1492.
25. Shepard DS Reliability of blood pressure measurements: implications for designing and evaluating programs to control hypertension. Journal of Chronic Diseases 1981 ; 34 (5). 191-209.
26. Buclin T., Telenti A., Perera R., et al. Rule-based monitoring of CD4 cell counts to decide when to start antiretroviral therapy in HIV-1 infected individuals. Personal Communication.
27. Genz A., Bretz F., Miwa T., et al. mvtnorm: Multivariate Normal and t Distributions; 2009. R package version 0.9-7.
28. Efron B., Gong G. A leisurely look at the bootstrap, the jackknife, and cross-validation. The American Statistician 1983 ; 37 (1). 36-48.
29. Efron B., Tibshirani RJ An introduction to the bootstrap. Chapman & Hall, New York ; 1993.
30. Davison AC, Hinkley DV Bootstrap methods and their application (Cambridge series in statistical and probabilistic mathematics, No 1). Cambridge University Press, Cambridge ; 1997.
31. Tonkin A., Alyward P., Colquhoun D., et al. Prevention of cardiovascular events and death with pravastatin in patients with coronary heart disease and a broad range of initial cholesterol levels. New England Journal of Medicine 1998 ; 339 (19). 1349-1357.
32. MacMahon S., Neal B., Tzourio C., et al. Randomised trial of a perindopril-based blood-pressure-lowering regimen among 6105 individuals with previous stroke or transient ischaemic attack. Lancet 2001 ; 358 (9287). 1033-1041.
33. Goldstein DE, Little RR, Lorenz RA, et al. Tests of glycemia in diabetes. Diabetes Care 2004 ; 27 (7). 1761-1773.
34. Pinheiro J., Bates D., DebRoy S., Sarkar D., the R Core team. nlme: Linear and Nonlinear Mixed Effects Models ; 2008.
35. National Collaborating Centre for Chronic Conditions. Type 2 diabetes: national clinical guidelines for management in primary and secondary care (update) ; Royal College of Physicians, London ; 2008.