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Translational Evidence-Based Interventions in Osteoimmunology

Chapter

Abstract

We began this monograph by citing an Evidence Report Publication (No. 07-E012) of the Agency for Healthcare Research and Quality (AHRQ). AHRQ plays a leadership role in the evolution of the field, from fundamental methodological issues to the design, establishment, verification, and dissemination of Registries. AHRQ defines Registries as: “… (a) patient registry is an organized system that uses observational study methods to collect uniform data (clinical and other) to evaluate specified outcomes for a population defined by a particular disease, condition, or exposure, and that serves one or more predetermined scientific, clinical, or policy purposes… registries (are) created for one or more of the following purposes: to describe the natural history of disease, to determine clinical effectiveness or costeffectiveness of health care products and services, to measure or monitor safety and harm, and/or to measure quality of care….(and) are classified according to how their (patient) populations are defined…” (Gliklich and Dreyer 2010).

Keywords

Bone Mineral Density Hyaluronic Acid Comparative Effectiveness Strontium Ranelate Bath Ankylose Spondylitis Disease Activity Index 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Ajaj RA, Barkhordarian A, Phi L, Giroux A, Chiappelli F. Evidence-Based Dentistry: The Next Frontier in Translational and Trans-National Dental Practice. Dental Hypotheses. 2011 2:55–62.Google Scholar
  2. Alagoz O, Hsu H, Schaefer AJ, Roberts MS. Markov decision processes: a tool for sequential decision making under uncertainty. Med Decis Making. 2010 30:474–83.PubMedCrossRefGoogle Scholar
  3. Andronis L, Barton P, Bryan S. Sensitivity analysis in economic evaluation: An audit of NICE current practice and a review of its use and value in decision-making. Health Technol Assess. 2009 iii, ix-xi: 1–61.Google Scholar
  4. Arrich J, Piribauer F, Mad P, Schmid D, Klaushofer K, Müllner M. Intra-articular hyaluronic acid for the treatment of osteoarthritis of the knee: systematic review and meta-analysis. CMAJ 2005 172:1039–43.PubMedCrossRefGoogle Scholar
  5. Atieh MA, Ibrahim HM, Atieh AH. Platform Switching for Marginal Bone Preservation Around Dental Implants: A Systematic Review and Meta-Analysis. J Periodontol. 2010 81(10):1350–66.PubMedCrossRefGoogle Scholar
  6. Begg C, Cho M, Eastwood S, Horton R, Moher D, Olkin I, Pitkin R, Rennie D, Schulz KF, Simel D, Stroup DF. Improving the quality of reporting of randomized controlled trials. The CONSORT statement. JAMA. 1996 276:637–9.PubMedCrossRefGoogle Scholar
  7. Bellamy N, Campbell J, Robinson V, Gee T, Bourne R, Wells G. Viscosupplementation for the treatment of osteoarthritis of the knee. Cochrane Database Syst Rev. 2005 18:CD005321.Google Scholar
  8. Bolland MJ, Grey AB, Gamble GD, Reid IR. Effect of osteoporosis treatment on mortality: a meta-analysis. J Clin Endocrinol Metab. 2010 95:1174–81.PubMedCrossRefGoogle Scholar
  9. Boonen S, Laan RF, Barton IP, Watts NB. Effect of osteoporosis treatments on risk of non-vertebral fractures: review and meta-analysis of intention-to-treat studies. Osteoporos Int. 2005 16:1291–8.PubMedCrossRefGoogle Scholar
  10. Breslau ES, Rochester PW, Saslow D, Crocoll CE, Johnson LE, Vinson CA. Developing partnerships to reduce disparities in cancer screening. Prev Chronic Dis. 2010 7:A62.PubMedGoogle Scholar
  11. Brouwers MC, Kho ME, Browman GP, Burgers JS, Cluzeau F, Feder G, Fervers B, Graham ID, Hanna SE, Makarski J. AGREE Next Steps Consortium. Development of the AGREE II, part 1: performance, usefulness and areas for improvement. CMAJ. 2010a 182:1045–52PubMedCrossRefGoogle Scholar
  12. Brown TT, Qaqish RB. Antiretroviral therapy and the prevalence of osteopenia and osteoporosis: a meta-analytic review. AIDS. 2006 20:2165–74.PubMedCrossRefGoogle Scholar
  13. Brozek JL, Akl EA, Jaeschke R, Lang DM, Bossuyt P, Glasziou P, Helfand M, Ueffing E, Alonso-Coello P, Meerpohl J, Phillips B, Horvath AR, Bousquet J, Guyatt GH, Schünemann HJ. GRADE Working Group. Grading quality of evidence and strength of recommendations in clinical practice guidelines: Part 2 of 3. The GRADE approach to grading quality of evidence about diagnostic tests and strategies. Allergy. 2009 64:1109–16.PubMedCrossRefGoogle Scholar
  14. Brzusek D, Petron D. Treating knee osteoarthritis with intra-articular hyaluronans. Curr Med Res Opin. 2008 24:3307–22.PubMedCrossRefGoogle Scholar
  15. Burkiewicz JS, Scarpace SL, Bruce SP. Denosumab in osteoporosis and oncology. Ann Pharmacother. 2009 43:1445–55.PubMedCrossRefGoogle Scholar
  16. Chang EJ, Kim HJ, Ha J, Kim HJ, Ryu J, Park KH, Kim UH, Lee ZH, Kim HM, Fisher DE, Kim HH. Hyaluronan inhibits osteoclast differentiation via Toll-like receptor 4. J Cell Sci. 2007 120:166–76.PubMedCrossRefGoogle Scholar
  17. Chiappelli F, Ramchandani MH, Phi L, Brant XMC. Clinically Relevant Complex Systematic Reviews in Endodontics: Relevance to Comparative Effectiveness Research and Evidence-Based Clinical Decision-Making. In F. Chiappelli & Brant XMC (Eds.) Comparative Effectiveness Research and Evidence-Based Health Care in Endodontics. Bentham Science, E-books, 2010, Chapter 1.Google Scholar
  18. Chiappelli F. Future Avenues of Research Synthesis for Evidence-Based Clinical Decision Making. In Chiappelli F. Brant XMC, Oluwadara OO, Neagos N, Ramchandani MH. (Eds.) Understanding Evidence-Based Practice: Toward Optimizing Clinical Outcomes. Springer, Heidelberg 2010, Chap 15.Google Scholar
  19. Chiappelli F. The Science of Research Synthesis: A Manual of Evidence-Based Research for the Health Sciences – Implications and Applications in Dentistry. NovaScience Publisher, Inc., 2008. pp. 1–327.Google Scholar
  20. Chiappelli F, Cajulis OS. The logic model in evidence-based clinical decision-making in dental practice. J Evid Based Dent Pract 2009 9:206–10.PubMedCrossRefGoogle Scholar
  21. Chiappelli F, Cajulis O, Newman M. Comparative Effectiveness Research in Evidence‐Based Dental Practice. J Evid Based Dent Pract 2009 9:57–8.PubMedCrossRefGoogle Scholar
  22. Day AJ, de la Motte CA. Hyaluronan cross-linking: a protective mechanism in inflammation? Trends Immunol. 2005 26:637–43.Google Scholar
  23. de la Motte C, Nigro J, Vasanji A, Rho H, Kessler S, Bandyopadhyay S, Danese S, Fiocchi C, Stern R. Platelet-derived hyaluronidase 2 cleaves hyaluronan into fragments that trigger monocyte-mediated production of proinflammatory cytokines. Am J Pathol. 2009 174:2254–64.PubMedCrossRefGoogle Scholar
  24. Dittus RS, Roberts SD, Wilson JR. Quantifying uncertainty in medical decisions. J Am Coll Cardiol. 1989 14:S23A–8A.Google Scholar
  25. Donaldson NE, Rutledge DN, Ashley J. Outcomes of adoption: measuring evidence uptake by individuals and organizations. Worldviews Evid Based Nurs. 2004 1S:41–51.CrossRefGoogle Scholar
  26. Escalas C, Trijau S, Dougados M. Evaluation of the treatment effect of NSAIDs/TNF blockers according to different domains in ankylosing spondylitis: results of a meta-analysis. Rheumatology (Oxford). 2010 49:1317–25.CrossRefGoogle Scholar
  27. Faggion CM Jr. Grading the quality of evidence and the strength of recommendations in clinical dentistry: a critical review of 2 prominent approaches. J Evid Based Dent Pract. 2010 10:78–85.PubMedCrossRefGoogle Scholar
  28. Gliklich RE, Dreyer NA, Eds. Registries for Evaluating Patient Outcomes: A User’s Guide. 2nd ed. (Prepared by Outcome DEcIDE Center [Outcome Sciences, Inc. d/b/a Outcome] under Contract HHSA29020050035I TO3.) AHRQ Pub. 10-EHC049. Rockville, MD: Agency for Healthcare Research and Quality. September 2010.Google Scholar
  29. Goeree R, Blackhouse G, Adachi J. Cost-effectiveness of alternative treatments for women with osteoporosis in Canada. Curr Med Res Opin. 2006 22:1425–36.PubMedCrossRefGoogle Scholar
  30. Graudal N, Jürgens G. Similar effects of disease modifying anti rheumatic drugs, glucocorticoids and biologics on radiographic progression in rheumatoid arthritis: meta-analysis of 70 randomized placebo or drug controlled studies including 112 comparisons. Arthritis Rheum. 2010 62(10):2852–63.PubMedCrossRefGoogle Scholar
  31. Hardy ML, Coulter I, Morton SC, Favreau J, Venuturupalli S, Chiappelli F, Rossi F, Orshansky G, Jungvig LK, Roth EA, Suttorp MJ, Shekelle P. S-adenosyl-L-methionine for treatment of depression, osteoarthritis, and liver disease. Evid Rep Technol Assess 2003 64:1–3.Google Scholar
  32. Helfrich CD, Li YF, Sharp ND, Sales AE. Organizational readiness to change assessment (ORCA): development of an instrument based on the Promoting Action on Research in Health Services (PARiHS) framework. Implement Sci. 2009 4:38.PubMedCrossRefGoogle Scholar
  33. Hoffman SJ, Lavis JN, Bennett S. The Use of Research Evidence in Two International Organizations’ Recommendations about Health Systems. Health Pol 2009 5:66–86.Google Scholar
  34. Jackson DG. Immunological functions of hyaluronan and its receptors in the lymphatics. Immunol Rev. 2009 230:216–31.PubMedCrossRefGoogle Scholar
  35. Jüni P, Egger M. PRISMAtic reporting of systematic reviews and meta-analyses. Lancet. 2009 374:1221–3.PubMedCrossRefGoogle Scholar
  36. Kitson AL, Rycroft-Malone J, Harvey G, McCormack B, Seers K, Titchen A. Evaluating the successful implementation of evidence into practice using the PARiHS framework: theoretical and practical challenges. Implement Sci. 2008 3:1.PubMedCrossRefGoogle Scholar
  37. Kung J, Chiappelli F, Cajulis OS, Avezova R, Kossan G, Chew L, Maida CA. From Systematic Reviews to Clinical Recommendations for Evidence-Based Health Care: Validation of Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) for Grading of Clinical Relevance. The Open Dentistry Journal 2010, 4:84–91.PubMedGoogle Scholar
  38. Lachin JM. Statistical Considerations in the Intent-to-Treat Principle. Controlled Clinical Trials 2000, 21:167–18.PubMedCrossRefGoogle Scholar
  39. Levy AG, Hershey JC. Value-induced bias in medical decision making. Med Decis Making. 2008 28:269–76.PubMedCrossRefGoogle Scholar
  40. Li B, Wang P, Li H. The association between TNF-alpha promoter polymorphisms and ankylosing spondylitis: a meta-analysis. Clin Rheumatol. 2010 29:983–90.PubMedCrossRefGoogle Scholar
  41. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, Clarke M, Devereaux PJ, Kleijnen J, Moher D. 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.PubMedCrossRefGoogle Scholar
  42. Lin D, Rieder MJ. Interventions for the treatment of decreased bone mineral density associated with HIV infection. Cochrane Database Syst Rev. 2007 18:CD005645.Google Scholar
  43. Lin KW, Slawson DC. Identifying and using good practice guidelines. Am Fam Physician. 2009 80:67–70.PubMedGoogle Scholar
  44. Little J, Higgins JP, Ioannidis JP, Moher D, Gagnon F, von Elm E, Khoury MJ, Cohen B, Davey-Smith G, Grimshaw J, Scheet P, Gwinn M, Williamson RE, Zou GY, Hutchings K, Johnson CY, Tait V, Wiens M, Golding J, van Duijn C, McLaughlin J, Paterson A, Wells G, Fortier I, Freedman M, Zecevic M, King R, Infante-Rivard C, Stewart A, Birkett N. STrengthening the REporting of Genetic Association studies (STREGA): an extension of the STROBE Statement. Ann Intern Med. 2009 150:206–15PubMedGoogle Scholar
  45. Macdonald-Jankowski DS. Focal cemento-osseous dysplasia: a systematic review. Dentomaxillofac Radiol. 2008 37:350–60.PubMedCrossRefGoogle Scholar
  46. MacDonald-Jankowski DS. Ossifying fibroma: a systematic review. Dentomaxillofac Radiol. 2009 38:495–513.PubMedCrossRefGoogle Scholar
  47. MacPherson H, Altman DG, Hammerschlag R, Youping L, Taixiang W, White A, Moher D. STRICTA Revision Group. Revised STandards for Reporting Interventions in Clinical Trials of Acupuncture (STRICTA): extending the CONSORT statement. PLoS Med. 2010 7:e1000261.PubMedCrossRefGoogle Scholar
  48. Manheimer E, Cheng K, Linde K, et al. Acupuncture for peripheral joint osteoarthritis. Cochrane Database Syst Rev 2010 (1):CD001977.Google Scholar
  49. McLeod C, Bagust A, Boland A, Dagenais P, Dickson R, Dundar Y, Hill RA, Jones A, Mujica Mota R, Walley T. Adalimumab, etanercept and infliximab for the treatment of ankylosing spondylitis: a systematic review and economic evaluation. Health Technol Assess. 2007 11:1–158, iii-iv.Google Scholar
  50. Menezes GB, McAvoy EF, Kubes P. Hyaluronan, platelets, and monocytes: a novel pro-inflammatory triad. Am J Pathol. 2009 174:1993–5.PubMedCrossRefGoogle Scholar
  51. Migliore A, Giovannangeli F, Bizzi E, Massafra U, Alimonti A, Laganà B, Diamanti Picchianti A, Germano V, Granata M, Piscitelli P. Viscosupplementation in the management of ankle osteoarthritis: a review. Arch Orthop Trauma Surg. 2011 131:139–47.Google Scholar
  52. Mobley LR, Hoerger TJ, Wittenborn JS, Galuska DA, Rao JK. Cost-effectiveness of osteoporosis screening and treatment with hormone replacement therapy, raloxifene, or alendronate. Med Decis Making. 2006 26:194–206.PubMedCrossRefGoogle Scholar
  53. Moher D, Cook DJ, Eastwood S, Olkin I, Rennie D, Stroup DF. Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement. Quality of Reporting of Meta-analyses. Lancet. 1999 354:1896–900.PubMedCrossRefGoogle Scholar
  54. Montori VM, Guyatt GH. Progress in evidence-based medicine. JAMA 2008 300:1814–6.PubMedCrossRefGoogle Scholar
  55. Oakley JE, O’Hagan A. Probabilistic sensitivity analysis of complex models: a Bayesian approach. JR Statist Soc B 2004 66:751–69.CrossRefGoogle Scholar
  56. Ogilvie D, Craig P, Griffin S, Macintyre S, Wareham NJ. A translational framework for public health research. BMC Public Health. 2009 9:116.PubMedCrossRefGoogle Scholar
  57. Pazianas M, Miller P, Blumentals WA, Bernal M, Kothawala P. A review of the literature on osteonecrosis of the jaw in patients with osteoporosis treated with oral bisphosphonates: prevalence, risk factors, and clinical characteristics. Clin Ther. 2007 29:1548–58.PubMedCrossRefGoogle Scholar
  58. Prochaska JO, Decision Making in the Transtheoretical Model of Behavior Change. Med Decis Making 2008 28:845–9.PubMedCrossRefGoogle Scholar
  59. Reyna VF, A Theory of Medical Decision Making and Health: Fuzzy Trace Theory. Med Decis Making 2008 28:850–65PubMedCrossRefGoogle Scholar
  60. Schulz KF, Altman DG, Moher D, CONSORT Grp. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. PLoS. Med. 2010 7:e1000251.Google Scholar
  61. Schünemann HJ, Oxman AD, Brozek J, Glasziou P, Bossuyt P, Chang S, Muti P, Jaeschke R, Guyatt GH. GRADE: assessing the quality of evidence for diagnostic recommendations. Evid Based Med. 2008 13:162–3.PubMedCrossRefGoogle Scholar
  62. Shea BJ, Grimshaw JM, Wells GA, Boers M, Andersson N, Hamel C, Porter AC, Tugwell P, Moher D, Bouter LM. Development of AMSTAR: a measurement tool to assess the methodological quality of systematic reviews. BMC Med Res Methodol. 2007 7:10PubMedCrossRefGoogle Scholar
  63. Shi H, Lyons-Weiler J. Clinical decision modeling system. BMC Med Inform Decis Mak. 2007 7:23.PubMedCrossRefGoogle Scholar
  64. Simera I, Moher D, Hoey J, Schulz KF, Altman DG. The EQUATOR Network and reporting guidelines: Helping to achieve high standards in reporting health research studies. Maturitas. 2009 63:4–6.PubMedCrossRefGoogle Scholar
  65. Simon D, Loh A, Härter M. Measuring (shared) decision-making – a review of psychometric instruments. Z Arztl Fortbild Qualitatssich. 2007 101:259–67.PubMedGoogle Scholar
  66. Spring B. Health Decision Making: Lynchpin of Evidence-Based Practice. Med Decis Making 2008 28:866–74.Google Scholar
  67. Stevenson M, Jones ML, De Nigris E, Brewer N, Davis S, Oakley J. A systematic review and economic evaluation of alendronate, etidronate, risedronate, raloxifene and teriparatide for the prevention and treatment of postmenopausal osteoporosis. Health Technol Assess. 2005 9:1–160.PubMedGoogle Scholar
  68. Terracciano L, Brozek J, Compalati E, Schünemann H. GRADE system: new paradigm. Curr Opin Allergy Clin Immunol. 2010 10:377–83PubMedCrossRefGoogle Scholar
  69. Thelle DS. STROBE and STREGA: Instruments for improving transparency and quality of reporting scientific results. Eur J Epidemiol. 2009 24:7–8.PubMedCrossRefGoogle Scholar
  70. Titler MG. Methods in translation science. Worldviews Evid Based Nurs. 2004 1:38–48.PubMedCrossRefGoogle Scholar
  71. von Elm E, Altman DG, Egger M, Pocock SJ, Gøtzsche PC, Vandenbroucke JP. STROBE Initiative. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)statement: guidelines for reporting observational studies. Lancet. 2007 370:1453–7.CrossRefGoogle Scholar
  72. West SL, Gartlehner G, Mansfield AJ, Poole C, Tant E, Lenfestey N, Lux LJ, Amoozegar J, Morton SC, Carey TC, Viswanathan M, Lohr KN. Clinical Heterogeneity. In: AHRQ Report 10-EHC-070 EF: Comparative Effectiveness Review Methods. Rockville, MD. 2010.Google Scholar
  73. Whitney SN, Holmes-Rovner M, Brody H, Schneider C, McCullough LB, Volk RJ, McGuire AL. Beyond shared decision making: an expanded typology of medical decisions. Med Decis Making. 2008 28:699–705.PubMedCrossRefGoogle Scholar

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© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.School of Dentistry Division of Oral Biology & MedicineUniversity of California at Los AngelesLos AngelesUSA
  2. 2.American Association of Oral Biologists Evidence-Based Dentistry ChampionAmerican Dental AssociationLos AngelesUSA

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