The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The surgical learning curve for laparoscopic radical prostatectomy: a retrospective cohort study
Open accessAbstract
Background We previously reported the learning curve for open radical prostatectomy, defined in terms of prostate cancer recurrence. We sought to characterize the learning curve for laparoscopic radical prostatectomy. Methods We conducted a retrospective cohort study of 5328 prostate cancer patients treated laparoscopically by one of 29 surgeons from 7 institutions in Europe and North America between 1998 and 2007. Multivariable models were used to evaluate the association between surgeon experience at the time of each patient's operation and prostate cancer recurrence, with adjustment for established predictors. Findings After adjusting for casemix, greater surgeon experience was associated with a lower risk of recurrence (P=0.0053). The 5-year risk of recurrence decreased from 17% to 16% to 9% for a patient treated by a surgeon with 10, 250 and 750 prior laparoscopic procedures (risk difference 8.0% 95% CI: 4.4%, 12.0%). The learning curve for laparoscopic radical prostatectomy was slower than the previously reported learning curve for open surgery (p<0.001). Surgeons with previous experience of open radical prostatectomy had significantly poorer results than those whose first operation was laparoscopic (risk difference 12.3%; 95% CI: 8.8%, 15.7%). Interpretation Increasing surgical experience is associated with substantial reductions in cancer recurrence after laparoscopic radical prostatectomy. Improvements in outcome seem to accrue more slowly in comparison with open surgery. Laparoscopic radical prostatectomy appears to involve skills that do not translate well from open experience. Funding source This paper was supported by funds from the National Cancer Institute, the Allbritton Fund and the David J. Koch Foundation.
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Cites
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The Surgical Learning Curve for Prostate Cancer Control After Radical Prostatectomy
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Bennette, C., & Vickers, A. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-21 · Cited by 444
Self-citationBarry, M. J., Gallagher, P. M., Skinner, J. S., & Fowler, F. J. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.36.8621 · Cited by 177
Integrating VR, AR, and haptics in basic surgical skills training: A review and perspective
Sanfilippo, F., Salvietti, G., Blažauskas, T., Gabriele, G., Zafar, M., Tuan Hua, M., Hamza Zafar, M., Kumayl Raza Moosavi, S., Armalis, P., Poursina, M., et al. (2025) · IEEE Access · doi:10.1109/access.2025.3574265 · Cited by 18
“It is estimated that a specialist in training must perform over 750 operations to achieve a baseline proficiency in practical skills [9].”
The learning curve of murine subretinal injection among clinically trained ophthalmic surgeons
Huang, P., Narendran, S., Pereira, F., Fukuda, S., Nagasaka, Y., Apicella, I., Yerramothu, P., Marion, K. M., Cai, X., Sadda, S. R., et al. (2022) · Translational Vision Science & Technology · doi:10.1167/tvst.11.3.13 · Cited by 10
Metadata
- Authors
- Vickers, A. J., Savage, C. J., Hruza, M., Tuerk, I., Koenig, P., Martínez-Piñeiro, L., Janetschek, G., & Guillonneau, B.
- Venue
- The Lancet Oncology
- Publisher
- Elsevier BV
- Published
- 2009-05
- Volume
- 10
- Issue
- 5
- Pages
- 475-480
- ISSN
- 1470-2045 (ISSN-L)
- OpenAlex
- W1967233264
- Cited by
- 289
- References
- 8
- FWCI
- 24.39
- Type
- journal article
- Language
- en
- Open access
- green
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