Skip to main content
Log in

Evidence-Based Surgery: Barriers, Solutions, and the Role of Evidence Synthesis

  • Published:
World Journal of Surgery Aims and scope Submit manuscript

Abstract

Background

Surgery is a rapidly evolving field, making the rigorous testing of emerging innovations vital. However, most surgical research fails to employ randomized controlled trials (RCTs) and has particularly been based on low-quality study designs. Subsequently, the analysis of data through meta-analysis and evidence synthesis is particularly difficult.

Methods

Through a systematic review of the literature, this article explores the barriers to achieving a strong evidence base in surgery and offers potential solutions to overcome the barriers.

Results

Many barriers exist to evidence-based surgical research. They include enabling factors, such as funding, time, infrastructure, patient preference, ethical issues, and additionally barriers associated with specific attributes related to researchers, methodologies, or interventions. Novel evidence synthesis techniques in surgery are discussed, including graphics synthesis, treatment networks, and network meta-analyses that help overcome many of the limitations associated with existing techniques. They offer the opportunity to assess gaps and quantitatively present inconsistencies within the existing evidence of RCTs.

Conclusions

Poorly or inadequately performed RCTs and meta-analyses can give rise to incorrect results and thus fail to inform clinical practice or revise policy. The above barriers can be overcome by providing academic leadership and good organizational support to ensure that adequate personnel, resources, and funding are allocated to the researcher. Training in research methodology and data interpretation can ensure that trials are conducted correctly and evidence is adequately synthesized and disseminated. The ultimate goal of overcoming the barriers to evidence-based surgery includes the improved quality of patient care in addition to enhanced patient outcomes.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Centre for Evidence Based Medicine (2011) Levels of evidence. University of Oxford, Oxford

    Google Scholar 

  2. Solomon MJ, McLeod RS (1993) Clinical studies in surgical journals–have we improved? Dis Colon Rectum 36:43–48

    Article  PubMed  CAS  Google Scholar 

  3. Ng TT, McGory ML, Ko CY et al (2006) Meta-analysis in surgery: methods and limitations. Arch Surg 141:1125–1130

    Article  PubMed  Google Scholar 

  4. Solomon MJ, McLeod RS (1995) Should we be performing more randomized controlled trials evaluating surgical operations? Surgery 118:459–467

    Article  PubMed  CAS  Google Scholar 

  5. Ashrafian H, Darzi A, Athanasiou T (2011) Evidence synthesis: evolving methodologies to optimise patient care and enhance policy decisions. In: Evidence synthesis in healthcare, Springer, London, pp 1–46

  6. Jansen JP, Crawford B, Bergman G et al (2008) Bayesian meta-analysis of multiple treatment comparisons: an introduction to mixed treatment comparisons. Value Health 11:956–964

    Article  PubMed  Google Scholar 

  7. Voils C, Hassselblad V, Crandell J et al (2009) A Bayesian method for the synthesis of evidence from qualitative and quantitative reports: the example of antiretroviral medication adherence. J Health Serv Res Policy 14:226–233

    Article  PubMed  Google Scholar 

  8. Ashrafian H, Sevdalis N, Athanasiou T (2010) Evidence-based surgery. In: Key topics in surgical research and methodology. Springer, London, pp 9–26

  9. Altman DG (1996) Better reporting of randomised controlled trials: the CONSORT statement. BMJ 313:570–571

    Article  PubMed  CAS  Google Scholar 

  10. Moher D, Liberati A, Tetzlaff J et al (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ 339:b2535

    Article  PubMed  Google Scholar 

  11. Atkins D, Best D, Briss P et al (2004) Grading quality of evidence and strength of recommendations. BMJ 328:1490

    Article  PubMed  Google Scholar 

  12. Atkins D, Briss PA, Eccles M et al (2005) Systems for grading the quality of evidence and the strength of recommendations. II. Pilot study of a new system. BMC Health Serv Res 5:25

    Article  PubMed  Google Scholar 

  13. Rebitzer JB, Rege M, Shepard C (2008) Influence, information overload, and information technology in health care. Adv Health Econ Health Serv Res 19:43–69

    Article  PubMed  Google Scholar 

  14. Revere D, Turner AM, Madhavan A et al (2007) Understanding the information needs of public health practitioners: a literature review to inform design of an interactive digital knowledge management system. J Biomed Inform 40:410–421

    Article  PubMed  Google Scholar 

  15. Darzi A (2008) Quality care for all: NHS next stage review final report. Department of Health, London

    Google Scholar 

  16. Walker E, Hernandez AV, Kattan MW (2008) Meta-analysis: its strengths and limitations. Clevel Clin J Med 75:431–439

    Article  Google Scholar 

  17. Jadad AR, Moore RA, Carroll D et al (1996) Assessing the quality of reports of randomized clinical trials: is blinding necessary? Control Clin Trials 17:1–12

    Article  PubMed  CAS  Google Scholar 

  18. Murtuza B, Pepper JR, Jones C et al (2010) Does stentless aortic valve implantation increase perioperative risk? A critical appraisal of the literature and risk of bias analysis. Eur J Cardiothorac Surg 39:643–652

    Article  PubMed  Google Scholar 

  19. Ioannidis JP (2009) Integration of evidence from multiple meta-analyses: a primer on umbrella reviews, treatment networks and multiple treatments meta-analyses. CMAJ 181:488–493

    Article  PubMed  Google Scholar 

  20. Ioannidis JP (2006) Indirect comparisons: the mesh and mess of clinical trials. Lancet 368:1470–1472

    Article  PubMed  Google Scholar 

  21. Salanti G, Higgins JP, Ades AE et al (2008) Evaluation of networks of randomized trials. Stat Methods Med Res 17:279–301

    Article  PubMed  Google Scholar 

  22. Song F, Loke YK, Walsh T et al (2009) Methodological problems in the use of indirect comparisons for evaluating healthcare interventions: survey of published systematic reviews. BMJ 338:b1147

    Article  PubMed  Google Scholar 

  23. Mauri D, Polyzos NP, Salanti G et al (2008) Multiple-treatments meta-analysis of chemotherapy and targeted therapies in advanced breast cancer. J Natl Cancer Inst 100:1780–1791

    Article  PubMed  CAS  Google Scholar 

  24. Caldwell DM, Ades AE, Higgins JP (2005) Simultaneous comparison of multiple treatments: combining direct and indirect evidence. BMJ 331:897–900

    Article  PubMed  Google Scholar 

  25. Salanti G, Dias S, Welton NJ et al (2010) Evaluating novel agent effects in multiple-treatments meta-regression. Stat Med 29:2369–2383

    PubMed  Google Scholar 

  26. Diener MK, Simon T, Buchler MW et al (2011) Surgical evaluation and knowledge transfer-methods of clinical research in surgery. Langenbecks Arch Surg. doi:10.1007/s00423-011-0775-x

  27. Beger HG, Schwarz A (1998) Clinical research in surgery: questions but few answers. Langenbecks Arch Surg 383:300–305

    Article  PubMed  CAS  Google Scholar 

  28. Concato J, Shah N, Horwitz RI (2000) Randomized, controlled trials, observational studies, and the hierarchy of research designs. N Engl J Med 342:1887–1892

    Article  PubMed  CAS  Google Scholar 

  29. Cook JA (2009) The challenges faced in the design, conduct and analysis of surgical randomised controlled trials. Trials 10:9

    Article  PubMed  Google Scholar 

  30. McCulloch P, Taylor I, Sasako M et al (2002) Randomised trials in surgery: problems and possible solutions. BMJ 324:1448–1451

    Article  PubMed  Google Scholar 

  31. Paradis C (2008) Bias in surgical research. Ann Surg 248:180–188

    Article  PubMed  Google Scholar 

  32. Prescott RJ, Counsell CE, Gillespie WJ et al (1999) Factors that limit the quality, number and progress of randomised controlled trials. Health Technol Assess 3:1–143

    PubMed  CAS  Google Scholar 

  33. Lowrance WT, Tarin TV, Shariat SF (2010) Evidence-based comparison of robotic and open radical prostatectomy. Sci World J 10:2228–2237

    Article  Google Scholar 

  34. Lotan Y (2010) Economics of robotics in urology. Curr Opin Urol 20:92–97

    Article  PubMed  Google Scholar 

  35. Binder J, Kramer W (2001) Robotically-assisted laparoscopic radical prostatectomy. BJU Int 87:408–410

    Article  PubMed  CAS  Google Scholar 

  36. Menon M, Shrivastava A, Tewari A et al (2002) Laparoscopic and robot assisted radical prostatectomy: establishment of a structured program and preliminary analysis of outcomes. J Urol 168:945–999

    Article  PubMed  Google Scholar 

  37. Skolarus TA, Zhang Y, Hollenbeck BK (2010) Robotic surgery in urologic oncology: gathering the evidence. Expert Rev Pharmacoecon Outcomes Res 10:421–432

    Article  PubMed  Google Scholar 

  38. Steinberg PL, Ghavamian R (2011) Searching robotic prostatectomy online: what information is available? Urology 77:941–945

    Article  PubMed  Google Scholar 

  39. Alkhateeb S, Lawrentschuk N (2011) Consumerism and its impact on robotic-assisted radical prostatectomy. BJU Int 108:1874–1878

    Article  PubMed  Google Scholar 

  40. Brandina R, Berger A, Kamoi K et al (2009) Critical appraisal of robotic-assisted radical prostatectomy. Curr Opin Urol 19:290–296

    Article  PubMed  Google Scholar 

  41. Lotan Y, Cadeddu JA, Gettman MT (2004) The new economics of radical prostatectomy: cost comparison of open, laparoscopic and robot assisted techniques. J Urol 172:1431–1435

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Thanos Athanasiou.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Garas, G., Ibrahim, A., Ashrafian, H. et al. Evidence-Based Surgery: Barriers, Solutions, and the Role of Evidence Synthesis. World J Surg 36, 1723–1731 (2012). https://doi.org/10.1007/s00268-012-1597-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00268-012-1597-x

Keywords

Navigation