A systematic review and individual patient data meta-analysis of prognostic factors for foot ulceration in people with diabetes: The international research collaboration for the prediction of diabetic foot ulcerations (PODUS)

Health Technology Assessment

Volumn 19, Issue 57, 2015, Pages 1-207

  Crawford, Fay ^a   Cezard, Genevieve ^b   Chappell, Francesca M ^b   Murray, Gordon D ^b   Price, Jacqueline F ^b   Sheikh, Aziz ^b   Simpson, Colin R ^b   Stansby, Gerard P ^a   Young, Matthew J ^c  

^a NEWCASTLE UPON TYNE HOSPITALS NHS FOUNDATION TRUST   (United Kingdom)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

^c ROYAL INFIRMARY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

GLYCOSYLATED HEMOGLOBIN; INSULIN;

AGE DISTRIBUTION; ANTHROPOMETRY; ARTICLE; COHORT ANALYSIS; COMORBIDITY; DATA PROCESSING; DIABETIC FOOT; DIET THERAPY; DISEASE ASSOCIATION; DISEASE CLASSIFICATION; DISEASE DURATION; HEMOGLOBIN ANALYSIS; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; LEG AMPUTATION; LIFESTYLE; MEDICAL HISTORY; META ANALYSIS (TOPIC); MONOFILAMENT TEST; NEUROPSYCHOLOGICAL TEST; NON INSULIN DEPENDENT DIABETES MELLITUS; PEDAL PULSE; PERCEPTIVE THRESHOLD; PREDICTION; PREDICTIVE VALUE; PROGNOSIS; PULSE RATE; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; RELIABILITY; RISK ASSESSMENT; SEX DIFFERENCE; SYSTEMATIC REVIEW; UNITED KINGDOM; VALIDATION STUDY; META ANALYSIS; RISK FACTOR;

DIABETIC FOOT; HUMANS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; RISK ASSESSMENT; RISK FACTORS;

EID: 84938592814     PISSN: 13665278     EISSN: 20464924     Source Type: Journal    
DOI: 10.3310/hta19570     Document Type: Article

References (89)

1. Wild S, Roglic G, Green A, Sicree R, King H. Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 2004;27:1047–53. http://dx.doi.org/10.2337/diacare.27.5.1047
2. Boulton AJ, Vileikyte L, Ragnarson-Tennvall G, Apelqvist J. The global burden of diabetic foot disease. Lancet 2005;366:1719–24. http://dx.doi.org/10.1016/S0140-6736(05)67698-2
3. Abbott CA, Carrington AL, Ashe H, Bath S, Every LC, Griffiths J, et al. The North-West Diabetes Foot Care Study: incidence of, and risk factors for, new diabetic foot ulceration in a communitybased patient cohort. Diabet Med 2002;19:377–84. http://dx.doi.org/10.1046/j.1464-5491.2002.00698.x
4. Crawford F, Inkster M, Kleijnen J, Fahey T. Predicting foot ulcers in patients with diabetes: a systematic review and meta-analysis. QJM 2007;100:65–86. http://dx.doi.org/10.1093/qjmed/hcl140
5. Crawford F, McCowan C, Dimitrov BD, Woodburn J, Wylie GH, Booth E, et al. The risk of foot ulceration in people with diabetes screened in community settings: findings from a cohort study. QJM 2011;104:403–10. http://dx.doi.org/10.1093/qjmed/hcq227
6. Scottish Diabetes Monitoring Group. Scottish Diabetes Survey 2013. URL: www.diabetesinscotland.org.uk/Publications/SDS2013.pdf (accessed 14 October 2014).
7. Mason J, O’Keeffe C, McIntosh A, Hutchinson A, Booth A, Young RJ. A systematic review of foot ulcer in patients with Type 2 diabetes mellitus. I: prevention. Diabet Med 1999;16:801–12. http://dx.doi.org/10.1046/j.1464-5491.1999.00133.x
8. Pecoraro RE, Reiber GE, Burgess EM. Pathways to diabetic limb amputation. Basis for prevention. Diabetes Care 1990;13:513–21. http://dx.doi.org/10.2337/diacare.13.5.513
9. Spencer F, Sage R, Graner J. The incidence of foot pathology in a diabetic population. J Am Podiatr Med Assoc 1985;75:590–2. http://dx.doi.org/10.7547/87507315-75-11-590
10. Young MJ, McCardle JE, Randall LE, Barclay JI. Improved survival of diabetic foot ulcer patients 1995–2008: possible impact of aggressive cardiovascular risk management. Diabetes Care 2008;31:2143–7. http://dx.doi.org/10.2337/dc08-1242
11. Kennon B, Leese GP, Cochrane L, Colhoun H, Wild S, Stang D, et al. Reduced incidence of lower-extremity amputations in people with diabetes in Scotland: a nationwide study. Diabetes Care 2012;35:2588–90. http://dx.doi.org/10.2337/dc12-0511
12. Vamos EP, Bottle A, Majeed A, Millett C. Trends in lower extremity amputations in people with and without diabetes in England, 1996–2005. Diabetes Res Clin Pract 2010;87:275–82. http://dx.doi.org/10.1016/j.diabres.2009.11.016
13. Holman N, Young RJ, Jeffcoate WJ. Variation in the recorded incidence of amputation of the lower limb in England. Diabetologia 2012;55:1919–25. http://dx.doi.org/10.1007/s00125-012-2468-6
14. McIntosh A, Peters J, Young R, Hutchinson A, Chiverton R, Clarkson S, et al. Prevention and Management of Foot Problems in Type 2 diabetes: Clinical Guidelines and Evidence. NICE Guideline. Sheffield: University of Sheffield; 2003.
15. Scottish Intercollegiate Guidelines Network. 116 Management of Diabetes: A National Clinical Guideline. Edinburgh: SIGN; 2010. URL: www.sign.ac.uk/pdf/sign116.pdf (accessed 29 May 2014).
16. International Diabetes Foundation. International Working Group on the Diabetic Foot. Amsterdam: International Diabetes Federation; 2011. URL: http://iwgdf.org/(accessed 28 September 2012).
17. British Medical Association. General Medical Services Contract 2011. URL: www.bma.org.uk/employmentandcontracts/independent_contractors/quality_outcomes_framework/ qofguidance2011.jsp (accessed 24 April 2011).
18. Crawford F. How can we best prevent new foot ulcers in people with diabetes? BMJ 2008;337:a1234. http://dx.doi.org/10.1136/bmj.a1234
19. Macran S, Kind P, Collingwood J, Hull R, McDonald I, Parkinson L. Evaluating podiatry services: testing a treatment specific measure of health status. Qual Life Res 2003;12:177–88. http://dx.doi.org/10.1023/A:1022257005017
20. Jeffcoate WJ. Stratification of foot risk predicts the incidence of new foot disease, but do we yet know that the adoption of routine screening reduces it? Diabetologia 2011;54:991–3. http://dx.doi.org/10.1007/s00125-011-2075-y
21. Monteiro-Soares M, Boyko EJ, Ribeiro J, Ribeiro I, Dinis-Ribeiro M. Risk stratification systems for diabetic foot ulcers: a systematic review. Diabetologia 2011;54:1190–9. http://dx.doi.org/10.1007/s00125-010-2030-3
22. Laupacis A, Sekar N, Stiell IG. Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA 1997;277:488–94. http://dx.doi.org/10.1001/jama.1997.03540300056034
23. McGinn TG, Guyatt GH, Wyer PC, Naylor CD, Stiell IG, Richardson WS. Users’ guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 2000;284:79–84. http://dx.doi.org/10.1001/jama.284.1.79
24. Clark MJ, Stewart LA. Obtaining Individual Patient Data from Randomised Controlled Trials. In Egger M, Davey Smith G, Altman DG, editors. Systematic Reviews in Health Care: Meta-Analysis in Context. 2nd edn. London: BMJ Books; 2001. pp. 109–21. http://dx.doi.org/10.1002/9780470693926.ch6
25. Stewart LA, Clarke MJ. Practical methodology of meta-analyses (overviews) using updated individual patient data. Cochrane Working Group. Stat Med 1995;14:2057–79. http://dx.doi.org/10.1002/sim.4780141902
26. Stewart LA, Tierney JF, Clark MJ. Reviews of Individual Patient Data. In Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). Cochrane; 2011. URL: http://handbook.cochrane.org/(accessed 19 July 2015).
27. Centre for Reviews and Dissemination. Systematic Reviews: CRD’s Guidance on Undertaking Reviews in Health Care. York: Centre for Reviews and Dissemination, University of York; 2009. URL: www.york.ac.uk/crd/SysRev/!SSL!/WebHelp/SysRev3.htm (accessed 4 April 2015).
28. Medical Research Council (MRC) Ethics Series. Personal Information in Medical Research 2000. URL: www.mrc.ac.uk/Utilities/Documentrecord/index.htm?d=MRC002452 (accessed 14 May 2012).
29. Crawford F, Anandan C, Chappell FM, Murray GD, Price JF, Sheikh A, et al. Protocol for a systematic review and individual patient data meta-analysis of prognostic factors of foot ulceration in people with diabetes: the international research collaboration for the prediction of diabetic foot ulcerations (PODUS). BMC Med Res Methodol 2013;13:22. http://dx.doi.org/10.1186/1471-2288-13-22
30. Lefebvre C, Manheimer E, Glanville J. Searching for Studies. In Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). Cochrane; 2011. URL: www.cochrane-handbook.org (accessed 19 July 2015).
31. Hayden JA, Cote P, Bombardier C. Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 2006;144:427–37. http://dx.doi.org/10.7326/0003-4819-144-6-200603210-00010
32. Crombie IK. The Pocket Guide to Critical Appraisal. London: BMJ Publishing Group; 1996.
33. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM. Reporting recommendations for tumour marker prognostic studies (REMARK). J Natl Canc Inst 2005;97:1180–4. http://dx.doi.org/10.1093/jnci/dji237
34. Altman DG, Lyman GH. Methodological challenges in the evaluation of prognostic factors in breast cancer. Breast Cancer Res Treat 1998;52:289–303. http://dx.doi.org/10.1023/A:1006193704132
35. Rector TS, Taylor BC, Wilt TJ. Systematic review of prognostic tests. J Gen Intern Med 2012;27(Suppl.1):S94–101. http://dx.doi.org/10.1007/s11606-011-1899-y
36. Altman DG. Systematic reviews of evaluations of prognostic variables. BMJ 2001;323:224–8. http://dx.doi.org/10.1136/bmj.323.7306.224
37. Wasson JH, Sox HC, Neff RK, Goldman L. Clinical prediction rules. Applications and methodological standards. New Engl J Med 1985;313:793–9. http://dx.doi.org/10.1056/NEJM198509263131306
38. Fowkes FG, Fulton PM. Critical appraisal of published research: introductory guidelines. BMJ 1991;302:1136–40. http://dx.doi.org/10.1136/bmj.302.6785.1136
39. Vandenbroucke JP, von Elm E, Altman DG, Gotzsche PC, Mulrow CD, Pocock SJ, et al. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): explanation and elaboration. PLOS Med 2007;4:e297. http://dx.doi.org/10.1371/journal.pmed.0040297
40. von Elm E, Altman DG, Egger M, Pocock SJ, Gotzsche PC, Vandenbroucke JP. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies. J Clin Epidemiol 2008;61:344–9. http://dx.doi.org/10.1016/j.jclinepi.2007.11.008
41. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011;155:529–36. http://dx.doi.org/10.7326/0003-4819-155-8-201110180-00009
42. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA 2000;283:2008–12. http://dx.doi.org/10.1001/jama.283.15.2008
43. Debray TP, Moons KG, Abo-Zaid GM, Koffijberg H, Riley RD. Individual participant data meta-analysis for a binary outcome: one-stage or two-stage? PLOS ONE 2013;8:e60650. http://dx.doi.org/10.1371/journal.pone.0060650
44. Stewart GB, Altman DG, Askie LM, Duley L, Simmonds MC, Stewart LC. Statistical analysis of individual participant data meta-analyses: a comparison of methods and recommendations for practice. Res Synth Methods 2010;1:97–111. http://dx.doi.org/10.1371/journal.pone.0046042
45. Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). Cochrane; 2011. URL: www.cochrane-handbook.org (checked 28 April 2011; last accessed 22 January 2013).
46. Leese GP, Reid F, Green V, McAlpine R, Cunningham S, Emslie-Smith AM, et al. Stratification of foot ulcer risk in patients with diabetes: a population-based study. Int J Clin Pract 2006;60:541–5. http://dx.doi.org/10.1111/j.1368-5031.2006.00899.x
47. Leese GP, Cochrane L, Mackie AD, Stang D, Brown K, Green V. Measuring the accuracy of different ways to identify the ‘at-risk’ foot in routine clinical practice. Diabet Med 2011;28:747–54. http://dx.doi.org/10.1111/j.1464-5491.2011.03297.x
48. Boyko EJ, Ahroni JH, Stensel V, Forsberg RC, Davignon DR, Smith DG. A prospective study of risk factors for diabetic foot ulcer. The Seattle Diabetic Foot Study. Diabetes Care 1999;22:1036–42. http://dx.doi.org/10.2337/diacare.22.7.1036
49. Boyko EJ, Ahroni JH, Cohen V, Nelson KM, Heagerty PJ. Prediction of diabetic foot ulcer occurrence using commonly available clinical information: the Seattle Diabetic Foot Study. Diabetes Care 2006;29:1202–7. http://dx.doi.org/10.2337/dc05-2031
50. Riley RD, Steyerberg EW. Meta-analysis of a binary outcome using individual participant data and aggregate data. Res Synth Methods 2010;1:2–19. http://dx.doi.org/10.1002/jrsm.4
51. Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. A basic introduction to fixed-effect and random-effects models for meta-analysis. Res Synth Methods 2010;1:97–111. http://dx.doi.org/10.1002/jrsm.12
52. Deeks JJ, Higgins JPT, Altman DG, editors. Analysing data and undertaking metaanalyses. In Higgins JPT, Green S, editors. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration; 2011. URL: www.cochrane-handbook.org
53. van Buuren S, Groothuis-Oudshoorn K. MICE: Multivariate imputation by chained equations in R. J Stat Software 2011;45:1–67.
54. White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med 2011;30:377–99. http://dx.doi.org/10.1002/sim.4067
55. Sterne JAC, White IR, Carlin JB, Spratt M, Royston P, Kenward MG, et al. Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls. BMJ 2009;338:b2393. http://dx.doi.org/10.1136/bmj.b2393
56. Resche-Rigon M, White IR, Bartlett JW, Peters SA, Thompson SG. PROG-IMT Study Group. Multiple imputation for handling systematically missing confounders in meta-analysis of individual participant data. Stat Med 2013;32:4890–905. http://dx.doi.org/10.1002/sim.5894
57. Little RJA. Regression with missing X’s: a review. J Am Stat Assoc 1992;87:1227–37. http://dx.doi.org/10.2307/2290664
58. Steyerberg EW. Selection of Main Effects. In Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. New York, NY: Springer; 2009. pp. 191–211. http://dx.doi.org/10.1007/978-0-387-77244-8_11
59. Harrell FE. Regression Modelling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. New York, NY: Springer-Verlag; 2001. http://dx.doi.org/10.1007/978-1-4757-3462-1
60. O’Riordan P, Stevens PE, Lamb EJ. Estimated glomerular filtration rate. BMJ 2014;348:g264. http://dx.doi.org/10.1136/bmj.g264
61. Monteiro-Soares M, Dinis-Ribeiro M. External validation and optimisation of a model for predicting foot ulcers in patients with diabetes. Diabetologia 2010;53:1525–33. http://dx.doi.org/10.1007/s00125-010-1731-y
62. Kästenbauer T, Sauseng S, Sokol G, Auinger M, Irsigler K. A prospective study of predictors for foot ulceration in type 2 diabetes. J Am Podiatr Med Assoc 2001;91:343–50. http://dx.doi.org/10.7547/87507315-91-7-343
63. Gerds TA, Cai T, Schumacher M. The performance of risk prediction models. Biometrical J 2008;50:457–79. http://dx.doi.org/10.1002/bimj.200810443
64. Steyerberg EW, Borsboom GJ, van Houwelingen HC, Eijkemans MJ, Habbema JD. Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. Stat Med 2004;23:2567–86. http://dx.doi.org/10.1002/sim.1844
65. Moher D, Liberati A, Tetzlaff J, Altman DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. J Clin Epidemiol 2009;62:1006–12. URL: http://prismastatement.org/(accessed 4 April 2015). http://dx.doi.org/10.1016/j.jclinepi.2009.06.005
66. Litzelman DK, Marriott DJ, Vinicor F. Independent physiological predictors of foot lesions in patients with NIDDM. Diabetes Care 1997;20:1273–8. http://dx.doi.org/10.2337/diacare.20.8.1273
67. Murray HJ, Young MJ, Hollis S, Boulton AJ. The association between callus formation, high pressures and neuropathy in diabetic foot ulceration. Diabet Med 1996;13:979–82. http://dx.doi.org/10.1002/(SICI)1096-9136(199611)13:11<979::AID-DIA267>3.0.CO;2-A
68. Peters EJ, Lavery LA. Effectiveness of the diabetic foot risk classification system of the International Working Group on the Diabetic Foot. Diabetes Care 2001;24:1442–7. http://dx.doi.org/10.2337/diacare.24.8.1442
69. Veves A, Murray HJ, Young MJ, Boulton AJ. The risk of foot ulceration in diabetic patients with high foot pressure: a prospective study. Diabetologia 1992;35:660–3. http://dx.doi.org/10.1007/BF00400259
70. Lavery LA, Armstrong DG, Wunderlich RP, Tredwell J, Boulton AJ. Predictive value of foot pressure assessment as part of a population-based diabetes disease management program. Diabetes Care 2003;26:1069–73. http://dx.doi.org/10.2337/diacare.26.4.1069
71. Armstrong DG, Lavery LA, Holtz-Neiderer K, Mohler MJ, Wendel CS, Nixon BP, et al. Variability in activity may precede diabetic foot ulceration. Diabetes Care 2004;27:1980–4. http://dx.doi.org/10.2337/diacare.27.8.1980
72. Monami M, Vivarelli M, Desideri CM, Colombi C, Marchionni N, Mannucci E. Pulse pressure and prediction of incident foot ulcers in type 2 diabetes. Diabetes Care 2009;32:897–9. http://dx.doi.org/10.2337/dc08-1679
73. Pham H, Armstrong DG, Harvey C, Harkless LB, Giurini JM, Veves A. Screening techniques to identify people at high risk for diabetic foot ulceration: a prospective multicenter trial. Diabetes Care 2000;23:606–11. http://dx.doi.org/10.2337/diacare.23.5.606
74. Rith-Najarian SJ, Stolusky T, Gohdes DM. Identifying diabetic patients at high risk for lower-extremity amputation in a primary health care setting. A prospective evaluation of simple screening criteria. Diabetes Care 1992;15:1386–9. http://dx.doi.org/10.2337/diacare.15.10.1386
75. Young MJ, Breddy JL, Veves A, Boulton AJ. The prediction of diabetic neuropathic foot ulceration using vibration perception thresholds. A prospective study. Diabetes Care 1994;17:557–60. http://dx.doi.org/10.2337/diacare.17.6.557
76. Abbott CA, Garrow AP, Carrington AL, Morris J, Van Ross ER, Boulton AJ. Foot ulcer risk is lower in South-Asian and African-Caribbean compared with European diabetic patients in the U.K.: the North-West diabetes foot care study. Diabetes Care 2005;28:1869–75. http://dx.doi.org/10.2337/diacare.28.8.1869
77. Cohen DJ, Doucet M, Cutlip DE, Ho KK, Popma JJ, Kuntz RE. Impact of smoking on clinical and angiographic restenosis after percutaneous coronary intervention: another smoker’s paradox? Circulation 2001;104:773–8. http://dx.doi.org/10.1161/hc3201.094225
78. Crawford F, Cezard G, Chappell FM, Murray GD, On behalf of the international PODUS group. Predictive Factors for Foot Ulceration in Diabetes: An Individual Patient Data Systematic Review and Meta-Analysis. Department of Health Sciences Seminar, University of York, York, March 2014.
79. PODUS group. Predictive Factors for Diabetic Foot Ulcerations: An Individual Patient Data Systematic Review and Meta-Analysis. 15th Malvern International Diabetic Foot Conference, Great Malvern, May 2014.
80. Diabetes UK. Testing. 2014. URL: www.diabetes.org.uk/Guide-to-diabetes/Monitoring/Testing/#HbA1c (accessed 30 May 2014).
81. National Institute for Health and Care Excellence. Clinical Guidelines for Type 2 Diabetes. Prevention and Management of Foot Problems. NICE guideline CG10. London: NICE; 2014. URL: http://publications.nice.org.uk/type-2-diabetes-foot-problems-cg10(accessed 29 May 2014).
82. Bakker K, Schaper NC, International Working Group on the Diabetic Foot Editorial Board. The development of global consensus guidelines on the management and prevention of the diabetic foot 2011. Diabetes Metab Res Rev 2012;28(Suppl. 1):116–18. http://dx.doi.org/10.1002/dmrr.2254
83. Singh N, Armstrong DG, Lipsky BA. Preventing foot ulcers in patients with diabetes. JAMA 2005;293:217–28. http://dx.doi.org/10.1001/jama.293.2.217
84. Dorresteijn JAN, Kriegsman DMW, Valk GD. Complex interventions for preventing diabetic foot ulceration. Cochrane Database Syst Rev 2010;1:CD007610. http://dx.doi.org/10.1002/14651858.CD007610.pub2
85. McCabe CJ, Stevenson RC, Dolan AM. Evaluation of a diabetic foot screening and protection programme. Diabet Med 1998;15:80–4. http://dx.doi.org/10.1002/(SICI)1096-9136(199801)15:1<80::AID-DIA517>3.0.CO;2-K
86. Dorresteijn JAN, Kriegsman DMW, Assendelft WJJ, Valk GD. Patient education for preventing diabetic foot ulceration. Cochrane Database Syst Rev 2012;10:CD001488. http://dx.doi.org/10.1002/dmrr.2237
87. Paton J, Bruce G, Jones R, Stenhouse E. Effectiveness of insoles used for the prevention of ulceration in the neuropathic diabetic foot: a systematic review. J Diabetes Complications 2011;25:52–62. http://dx.doi.org/10.1016/j.jdiacomp.2009.09.002
88. Bus SA, Valk GD, van Deursen RW, Armstrong DG, Caravaggi C, Hlavacek P, et al. The effectiveness of footwear and offloading interventions to prevent and heal foot ulcers and reduce plantar pressure in diabetes: a systematic review. Diabetes Metab Res Rev 2008;24(Suppl. 1):162–80. http://dx.doi.org/10.1002/dmrr.850
89. Burgers JS, Bailey JV, Klazinga NS, Van Der Bij AK, Grol R, Feder G. Inside guidelines: comparative analysis of recommendations and evidence in diabetes guidelines from 13 countries. Diabetes Care 2002;25:1933–9. http://dx.doi.org/10.2337/diacare.25.11.1933