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No surgical innovation without evaluation: the IDEAL recommendations.

Abstract:
Surgery and other invasive therapies are complex interventions, the assessment of which is challenged by factors that depend on operator, team, and setting, such as learning curves, quality variations, and perception of equipoise. We propose recommendations for the assessment of surgery based on a five-stage description of the surgical development process. We also encourage the widespread use of prospective databases and registries. Reports of new techniques should be registered as a professional duty, anonymously if necessary when outcomes are adverse. Case series studies should be replaced by prospective development studies for early technical modifications and by prospective research databases for later pre-trial evaluation. Protocols for these studies should be registered publicly. Statistical process control techniques can be useful in both early and late assessment. Randomised trials should be used whenever possible to investigate efficacy, but adequate pre-trial data are essential to allow power calculations, clarify the definition and indications of the intervention, and develop quality measures. Difficulties in doing randomised clinical trials should be addressed by measures to evaluate learning curves and alleviate equipoise problems. Alternative prospective designs, such as interrupted time series studies, should be used when randomised trials are not feasible. Established procedures should be monitored with prospective databases to analyse outcome variations and to identify late and rare events. Achievement of improved design, conduct, and reporting of surgical research will need concerted action by editors, funders of health care and research, regulatory bodies, and professional societies.

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Publisher copy:
10.1016/s0140-6736(09)61116-8

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author


Journal:
Lancet More from this journal
Volume:
374
Issue:
9695
Pages:
1105-1112
Publication date:
2009-09-01
DOI:
EISSN:
1474-547X
ISSN:
0140-6736


Language:
English
Keywords:
Pubs id:
pubs:108435
UUID:
uuid:e9665fd3-d455-4aec-80b7-c580e3cc8165
Local pid:
pubs:108435
Source identifiers:
108435
Deposit date:
2012-12-19
ARK identifier:

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